Python for Coaches Part 3: An intro to getting data from API's & the web -

Mining Cam Wurf's long term data with Strava

In my last 2 posts, I introduced coaches to the wonderful world of coding by looking at how we can pull data programatically from individual Garmin files. While this data is interesting, we Coaches tend to operate more from a "forest" level than a "tree" level, i.e. we want to use BIG (long term) data to better understand our athletes.

When it comes to Big Data, one of the biggest repositories of data for endurance athletes has to be the website Strava. I have a love-hate relationship with Strava. I hate that it encourages athletes to race in training, but a lot of athletes love it & publically post their data so, as a coach who loves data, I love that!

Another thing that I love about Strava is that they have a great public API to access this data. I'm going to dive into Strava's API and API's in general in this post.

You can consider the last 2 posts as a bit of a warm up. This one is definitely a "main set". It might hurt a bit but stick with it & take it one 'rep' at a time & you'll be a stronger coder on the other side! So, let's get into it...

But, before we do that, I've prepared an interactive Colab workbook for this (as I did for the previous posts) so you can save a copy and code along with me. This will be particularly useful if you go through the process of signing up for Strava API access yourself. A quick reminder that, in order for the code to run in Colab, each cell must be 'played' sequentially. And, for this tutorial, you'll need to replace various API parameters in the code (client id, client secret etc) with your own parameters that Strava provides when you sign up. OK, now that's out of the way, on to the fun stuff....

cam_wurf.png

One of those athletes who loves Strava enough to post quite regularly is Cam Wurf (pictured in red above). I'm a fan of Cam's. He's an Aussie, so he has that going for him :-) And I like the humble attitude that he's brought to Ironman - not necessarily to his competitors but to the race itself, the beginners mindset of really focusing on learning as much as possible despite a long history in endurance sports. Anyhow, when I'm a fan of an athlete, I like to keep tabs on their progress maybe a bit different to how most do: I like to do it programatically :-) So that's what we're going to do in this post, we're going to look at how we can pull data on our favorite athletes (or a whole bunch of non-favorite athletes for that matter) from the web.

First a quick review of how the web works...

The web is basically one big telephone call. I call a server from a company & make a request that they send me something. They respond by sending that thing back my way, generally as a page of html, css and javascript that my browser knows how to interpret and render.

The 2 most common types of requests that my browser makes are GET and POST. GET predictably asks to get something from the server - generally a page of html. POST requests that you give me back something after I give you some info e.g. I POST a login and then you send me back info after I prove that I'm authenticated to receive it.

However, these requests don't have to come from a browser. These requests can come from your Python program - appropriately, by using a library called requests e.g.

In [1]:
import requests

response = requests.get('https://www.slowtwitch.com')
print(response.text)
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In the above, I make a request to the triathlon website Slowtwitch with Python and they send me back all of the html, css & javascript of the homepage in exactly the same way that they would send it back to my browser if it made the same request.

The 3 types of "code" that the server generally sends back are CSS, Javascript & HTML...

  • CSS - Cascading Style Sheets, deals with the styling of the page, e.g. body {color:blue} will turn all of the text in the body of the page blue.
  • Javascript is a powerful scripting language. However, in the context of web pages it is generally used to provide user initiated responses on the page. E.g. when you hover over a chart and a tooltip pops up, it's javascript code that enables that to happen
  • HTML (hypertext markup language) is the "code" that tells the browser how to render pages that are sent to it. It is primarily a 'layout' language e.g. <p> simply mean start a new paragraph & </p> means close paragraph <div> for division, <img> for 'insert an image here' etc. Importantly, though, in addition to all of these layout tags, the html also contains all of the content, the text, of the page. This content can be programatically pulled into data repositories - databases, spreadsheets etc.

If you go to Slowtwitch.com in your browser and right click on the page & click "view page source", you'll see that it matches the html returned by the request above. This is the code that is sent to the browser before it is displayed. As I said above, Python has no problem pulling any data straight from html, therefore, it's definitely worthwhile to become familiar with html in general &, especially the html of some of your favorite sites.

However, requests don't always return html. Sometimes they return data, generally in JSON format or XML. (See this page from W3 Schools to see what each of these formats looks like https://www.w3schools.com/js/js_json_xml.asp) When a company sets up request 'endpoints', i.e specific url's, that allow a public user to return data directly, rather than through html, we call that an API - application programming interface. In other words, they are giving you a direct programatic interface to their application.

Importantly, whether a company offers an API or not, any data that you see & have access to can be pulled with Python (and even some that you don't have access to, but you'll have to stay tuned to my next series - 'Computer hacking for Coaches' for that ;-) This amounts to a CRAP TON of potential data that is available to mine and feed to models. I'll outline some of the ways that you can pull data from html in this post. However, it is nice when a company offers up an API. It saves you from having to dig around in html and hidden urls and provides the data directly and in a consistent, predictable format.

For example - coindesk offers a simple open API that returns the current price of bitcoin in json format...

In [3]:
response = requests.get('https://api.coindesk.com/v1/bpi/currentprice.json')
print(response.text)
{"time":{"updated":"Nov 27, 2020 14:49:00 UTC","updatedISO":"2020-11-27T14:49:00+00:00","updateduk":"Nov 27, 2020 at 14:49 GMT"},"disclaimer":"This data was produced from the CoinDesk Bitcoin Price Index (USD). Non-USD currency data converted using hourly conversion rate from openexchangerates.org","chartName":"Bitcoin","bpi":{"USD":{"code":"USD","symbol":"&#36;","rate":"16,931.6828","description":"United States Dollar","rate_float":16931.6828},"GBP":{"code":"GBP","symbol":"&pound;","rate":"12,685.2337","description":"British Pound Sterling","rate_float":12685.2337},"EUR":{"code":"EUR","symbol":"&euro;","rate":"14,184.5004","description":"Euro","rate_float":14184.5004}}}

Strava has a similar API that will return data directly to you, the Coach! However, like many API's, in order to give you this data, it first requires authentication so that you are only able to pull data from athletes who have approved you to do so. For this, they implement Oauth2 authentication, where an athlete gives permission to your app to access their data and you receive a token back that proves that they have given you that permission.

This is a common pattern in API's (you'll go through the same steps if you implement Garmin's API) so it's worth diving into in a bit of depth. In Strava's case, the sequence is as follows...

1. Sign up for access to their API at...

https://developers.strava.com/

strava_api.png

When you've done this, you'll get registered and get a client id.

2. Once you have that, go to...

http://www.strava.com/oauth/authorize?client_id=[REPLACE_WITH_YOUR_CLIENT_ID]&response_type=code&redirect_uri=http://localhost/exchange_token&approval_prompt=force&scope=profile:read_all,activity:read_all

And you will get an authorization screen giving your app permission to access your strava data.

strava_authorize.png

Once you've clicked "authorize" Strava will take you (or whoever is authorizing to use your app back to the redirect page that you provided in your app submission (in our case, our local computer - localhost) with an authorization "code" in the url.

3. Make a note of this "code" in your url, as it is what you will need to make API calls e.g.

strava_return_url.png

In that bit that I've blacked out after code, you'll find your own code. Take note of this. This code says "John Smith is giving you access to his account".

4. We'll pass (POST) this info back to strava in order to get a token back that will allow our specific app to get data from John Smith's account...

In [ ]:
import json

response = requests.post(
    url = 'https://www.strava.com/oauth/token',
    data = {'client_id':YOUR_CLIENT_ID,
            'client_secret':YOUR_CLIENT_SECRET',
            'code':'YOUR_CODE',
            'grant_type':'authorization_code'})
print(response.text)

If you replace the CLIENT_ID, CLIENT_SECRET etc with your own data from your app & run the cell, you'll see that Strava responds to our request to get data from John Smith's account with an access token that tells Strava who you are, what app you're referencing and what athlete gave you permission to access their data.

5. Once we have this access token, we're good to go! We can pass it to any of Strava's API requests as follows...

In [31]:
response = requests.get("https://www.strava.com/api/v3/athlete/activities?access_token=YOUR_ACCESS_TOKEN")
print(response.text)
[{"resource_state":2,"athlete":{"id":342595,"resource_state":1},"name":"Afternoon Ride","distance":24528.8,"moving_time":3725,"elapsed_time":3725,"total_elevation_gain":0.0,"type":"Ride","workout_type":null,"id":4399065961,"external_id":"5855501344_ACTIVITY.fit","upload_id":4701755239,"start_date":"2020-11-21T23:53:08Z","start_date_local":"2020-11-21T16:53:08Z","timezone":"(GMT-07:00) America/Denver","utc_offset":-25200.0,"start_latlng":null,"end_latlng":null,"location_city":null,"location_state":null,"location_country":"United States","start_latitude":null,"start_longitude":null,"achievement_count":0,"kudos_count":0,"comment_count":0,"athlete_count":1,"photo_count":0,"map":{"id":"a4399065961","summary_polyline":null,"resource_state":2},"trainer":false,"commute":false,"manual":false,"private":true,"visibility":"only_me","flagged":false,"gear_id":null,"from_accepted_tag":false,"upload_id_str":"4701755239","average_speed":6.585,"max_speed":8.2,"average_cadence":57.8,"average_temp":24,"average_watts":152.0,"weighted_average_watts":167,"kilojoules":566.1,"device_watts":true,"has_heartrate":true,"average_heartrate":117.0,"max_heartrate":140.0,"heartrate_opt_out":false,"display_hide_heartrate_option":true,"max_watts":269,"pr_count":0,"total_photo_count":0,"has_kudoed":false}]

As you can see, this particular call (GET /activities) retrieves all activities from that athlete in a nice json formatted list. This is just one of the available API calls. You can read about the others in Strava's API documentation (https://developers.strava.com/docs/reference/)

One final note, if dealing with the above in a production setting, you won't want the user to have to authorize your app every time! :-) To avoid this, we make use of the 'refresh_token' that is also returned to you. If the old token has expired, we make the same POST to strava.com/oauth/token that we made above, only this time under 'grant_type' we put 'refresh_token' and instead of code, we pass 'refresh_token':value of refresh token.

While the above is a super useful way to pull data from other athletes, for accessing your own data, a simple login will do. You could, of course, log in manually but where's the fun in that? :-)

We can use our simple requests library to do it programatically. You'll remember that I said above that, at its core, a login is a simple POST request. We POST a server data about us - generally a username or email & a password and they send us back the information that we request after determining that we are authenticated to receive it. However, in addition to email and password, it is common practice that we will also send an authentication code to show who we are and that we are coming from the login page so let's start by finiding that code on the login page.

Whenever we want to navigate through multiple pages on a site, it's best to instantiate a session. This simply passes all of the information from previous pages to future pages in the same session, e.g. if we log in and then view an authenticated page, we don't want to have to login again to see another authenticated page. Session takes care of that by passing your data between pages in the same session. So, let's do that & start by getting the login page so that we can find the authentication code & then POST our email, password & the code to Strava to authenticate...

In [2]:
session = requests.Session()

login_response = session.get('https://strava.com/login')
print(login_response.text)
<!-- Application Layout -->
<!DOCTYPE html>
<html class='logged-out fullscreen responsive swimming-background-2 feed3p0 old-login' dir='ltr' lang='en-US' xmlns:fb='http://www.facebook.com/2008/fbml' xmlns:og='http://opengraphprotocol.org/schema/' xmlns='http://www.w3.org/TR/html5'>
<!--
layout application
-->
<head>
<meta charset='UTF-8'>
<meta content='width = device-width, initial-scale = 1, maximum-scale = 1' name='viewport'>
<style type='text/css'>
.spinner, .spinner .status {
  position: relative;
}
.spinner {
  margin-top: 1em;
  margin-bottom: 1em;
}
.spinner .status {
  top: 2px;
  margin-left: 0.5em;
}
.spinner .status:empty {
  display: none;
}
.spinner.lg .graphic {
  border-width: 3px;
  height: 32px;
  width: 32px;
}
.spinner.tiny {
  height: 10px;
  width: 10px;
}
.spinner.centered, .spinner.vcentered {
  box-sizing: border-box;
  width: 100%;
}
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As I said above, in addition to our email and password, most sites will require a token to login so let's see if we can find it in the html response that we got when we requested the login page (above). For this, we'll introduce a new library called Beautiful Soup that parses html (like we got in the request above) to find stuff...

In [3]:
from bs4 import BeautifulSoup
soup = BeautifulSoup(login_response.text)
token = soup.find('input', {'name': 'authenticity_token'}).get('value')
print(f"Token {token}")
Token rVKtLeeFL+B/eL5/RU/5/BjCZLY79Yk+8f0egTdtf7VZ41pguJqAL2uJvUKPcmkk+tTRwtS4LFAzZ+V9bqZ6FQ==

So, the code above is pretty straight forward, we pass our login html to the BeautifulSoup class then we ask it to 'find' html with an 'input' tag & with the name 'authenticity_token'. In html this will look like

<input name='authenticity_token'> Token value </input>

It does this and prints the token that it finds between these tags back to us. To confirm that beautiful soup is doing its job, if you're viewing this in the Colab workbook, you can ctrl-f "authenticity_token" on the html above and you'll be able to find something that looks like the token above in the text.

Cool, so now we have our authentication token. Next step is just POSTing that along with our email and password to Strava to login...

In [4]:
response = session.post('https://www.strava.com/session', data={'email':'YOUR_EMAIL', 'password':'YOUR_PASSWORD', 'authenticity_token': token})
print(response)
<Response [200]>

We got back a "200" response from Strava, which in http-speak means "all clear". Excellent. As an aside, some other common responses that you'll want to be familiar with..

  • 301 - the page you're requesting has moved
  • 400 - can't process the request due to the way it's formatted
  • 401 - not authorized to view that page
  • 404 - not found. Can't find the page you're referencing
  • 500 - server error preventing it from processing request

Now let's grab some data....

Now that we're authenticated, if you know the activity number of any public activity, you can easily get the data e.g. let's take a look at Cam's ride from November 24th (id number 4385737177) You can find the id number for any activity if you click on it as the last bit of the url e.g. activity/1234567...

To get a summary of the power_data from the ride, we just call the end point activities/power_data e.g.

In [5]:
response = session.get('https://www.strava.com/activities/4385737177/power_data')
power_data = response.text
print(power_data)
{"weighted_power":263,"training_load":150,"max_watts":876,"relative_intensity":65,"cp_data":[[1335,1335,876],[1338,1339,832],[1338,1340,815],[1335,1338,817],[1335,1339,814],[1335,1340,809],[1335,1341,807],[1335,1342,806],[1335,1343,806],[1334,1343,798],[1334,1344,791],[1334,1345,783],[1335,1347,783],[1335,1348,783],[1335,1349,780],[1335,1350,778],[1334,1350,775],[1334,1351,773],[1334,1352,768],[1334,1353,763],[1334,1354,758],[1334,1355,754],[1334,1356,747],[1333,1356,737],[1334,1358,732],[1334,1359,729],[1334,1360,726],[1334,1361,723],[1334,1362,719],[1334,1363,716],[1334,1364,714],[1334,1365,712],[1334,1366,711],[1334,1367,706],[1333,1367,700],[1334,1369,698],[1334,1370,697],[1334,1371,696],[1334,1372,695],[1334,1373,694],[1334,1374,692],[1334,1375,691],[1334,1376,690],[1334,1377,688],[1334,1378,687],[1334,1379,687],[1335,1381,688],[1335,1382,689],[1334,1382,690],[1334,1383,690],[1334,1384,689],[1334,1385,688],[1334,1386,686],[1334,1387,683],[1333,1387,680],[1332,1387,676],[1334,1390,673],[1334,1391,674],[1334,1392,674],[1334,1393,672],[1333,1393,669],[1332,1393,666],[1334,1396,662],[1334,1397,662],[1333,1397,660],[1332,1397,657],[1331,1397,653],[1330,1397,649],[1330,1398,644],[1329,1398,638],[1328,1398,631],[1328,1399,624],[1328,1400,617],[1328,1401,609],[1324,1398,602],[1324,1399,596],[1323,1399,590],[1323,1400,583],[1330,1408,576],[1329,1408,572],[1329,1409,568],[1329,1410,564],[1329,1411,560],[1330,1413,556],[1330,1414,553],[1330,1415,550],[1330,1416,547],[1330,1417,544],[1330,1418,541],[1330,1419,538],[1330,1420,535],[1330,1421,533],[1330,1422,530],[1329,1422,527],[1330,1424,525],[1330,1425,523],[1330,1426,520],[1330,1427,518],[1330,1428,517],[1330,1429,514],[1330,1430,511],[1330,1431,509],[1330,1432,506],[1330,1433,504],[1330,1434,502],[1330,1435,500],[1330,1436,498],[1330,1437,497],[1330,1438,495],[1330,1439,493],[1330,1440,491],[1330,1441,489],[1330,1442,487],[1330,1443,486],[1330,1444,484],[1330,1445,482],[1330,1446,480],[1330,1447,479],[1329,1447,477],[1330,1449,475],[1329,1449,473],[1330,1451,471],[1329,1451,469],[1329,1452,467],[1328,1452,464],[1330,1455,462],[1330,1456,461],[1330,1457,459],[1329,1457,457],[1328,1457,455],[1328,1458,453],[1329,1460,451],[1329,1461,449],[1329,1462,447],[1328,1462,445],[1328,1463,442],[1329,1465,440],[1329,1466,438],[1328,1466,436],[1328,1467,434],[1329,1469,432],[1328,1469,430],[1328,1470,427],[1328,1471,425],[1330,1474,424],[1329,1474,423],[1328,1474,421],[1328,1475,419],[1328,1476,417],[1328,1477,415],[1329,1479,413],[1329,1480,412],[1328,1480,410],[1329,1482,409],[1329,1483,407],[1329,1484,406],[1329,1485,405],[1330,1487,403],[1330,1488,402],[1330,1489,401],[1330,1490,401],[1330,1491,400],[1329,1491,399],[1329,1492,397],[1328,1492,396],[1329,1494,394],[1329,1495,393],[1329,1496,392],[1330,1498,391],[1330,1499,391],[1330,1500,390],[1329,1500,389],[1330,1502,388],[1330,1503,387],[1330,1504,387],[1329,1504,386],[1330,1506,385],[1330,1507,385],[1330,1508,384],[1330,1509,384],[1330,1510,383],[1330,1511,383],[1330,1512,382],[1330,1513,382],[1330,1514,381],[1330,1515,381],[1330,1516,381],[1330,1517,380],[1330,1518,380],[1329,1518,379],[4217,4407,378],[4217,4408,378],[4217,4409,378],[4217,4410,378],[4217,4411,378],[4219,4414,378],[4219,4415,378],[4219,4416,378],[4218,4416,378],[4217,4416,378],[4217,4417,378],[4217,4418,378],[4217,4419,378],[4217,4420,378],[4217,4421,378],[4217,4422,377],[4219,4425,377],[4219,4426,377],[4218,4426,377],[4217,4426,377],[4217,4427,377],[4217,4428,377],[4215,4427,377],[4215,4428,377],[4215,4429,377],[4215,4430,376],[4215,4431,376],[4215,4432,376],[4215,4433,375],[4215,4434,375],[4215,4435,375],[4214,4435,374],[4214,4436,373],[4213,4436,373],[4213,4437,372],[4213,4438,371],[4214,4440,370],[4214,4441,370],[4207,4435,369],[4206,4435,369],[4215,4445,368],[4215,4446,368],[4215,4447,368],[4215,4448,368],[4215,4449,368],[4217,4452,368],[4217,4453,368],[4215,4452,368],[4215,4453,368],[4215,4454,367],[4215,4455,367],[4215,4456,367],[4215,4457,367],[4215,4458,367],[4215,4459,366],[4215,4460,366],[4215,4461,366],[4215,4462,366],[4215,4463,365],[4215,4464,365],[4215,4465,365],[4215,4466,365],[4215,4467,365],[4215,4468,365],[4215,4469,365],[4215,4470,364],[4215,4471,364],[4215,4472,364],[4215,4473,363],[4215,4474,363],[4215,4475,363],[4215,4476,363],[4215,4477,363],[4215,4478,363],[4215,4479,362],[4215,4480,362],[4215,4481,362],[4215,4482,362],[4215,4483,362],[4215,4484,361],[4278,4548,361],[4277,4548,361],[4277,4549,361],[4276,4549,361],[4275,4549,361],[4217,4492,361],[4216,4492,361],[4215,4492,361],[4215,4493,361],[4270,4549,361],[4269,4549,360],[4267,4548,360],[4266,4548,360],[4265,4548,360],[4264,4548,360],[4264,4549,360],[4263,4549,360],[4262,4549,360],[4260,4548,360],[4260,4549,360],[4259,4549,360],[4258,4549,360],[4217,4509,360],[4216,4509,359],[4215,4509,359],[4215,4510,359],[4215,4511,359],[4216,4513,359],[4215,4513,359],[4215,4514,359],[4215,4519,359],[4217,4526,359],[4217,4531,359],[4220,4539,360],[4219,4543,360],[4219,4548,361],[4215,4549,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3982, 2210, 771, 142, 57, 56],"athlete_ftp":404,"athlete_weight":72.5}

You'll see it returns a whole bunch of power data from that ride in json format.

If Cam was wearing a heart rate monitor for the ride, we could also pass /heartrate_zones to get heart rate summary data etc.

We can also get the individual second-by-second date stream from any ride! All of the second by second power data, speed data etc. We, predictably just pass our request to the 'streams' endpoint e.g. the cadence stream for the ride...

In [6]:
response = session.get('https://www.strava.com/activities/4385737177/streams?stream_types%5B%5D=cadence')
print(response.text)
{"cadence":[0,0,0,0,0,0,0,0,0,0,0,0,30,30,30,0,0,0,0,0,0,0,31,37,37,43,47,50,53,55,55,55,55,57,58,58,58,56,56,55,56,55,55,56,56,56,56,57,57,58,60,59,59,64,66,67,68,70,72,74,76,76,80,82,75,67,65,67,68,71,72,74,76,79,80,82,83,72,72,72,72,72,73,73,75,76,77,78,78,77,77,76,76,75,75,74,77,81,79,78,77,76,76,76,0,0,0,0,0,0,0,0,0,58,60,60,64,66,68,69,69,69,70,71,72,73,74,74,76,76,76,77,77,77,77,77,77,77,76,76,74,77,78,79,81,81,80,80,79,77,71,76,74,72,70,69,69,69,69,69,71,71,71,72,73,73,73,73,73,72,73,76,77,78,80,82,82,74,73,72,71,72,73,74,74,75,77,78,79,73,69,68,70,71,72,75,77,78,80,82,77,77,79,80,81,82,82,85,86,88,84,82,83,83,86,87,88,90,91,83,82,80,78,76,77,77,77,80,79,80,79,77,76,74,72,77,77,72,70,68,66,65,68,68,73,76,80,80,79,77,75,76,79,82,78,75,78,80,82,85,85,86,86,86,85,84,83,82,82,83,82,82,82,82,82,81,81,81,81,81,81,81,80,80,80,80,79,78,78,77,76,76,76,76,82,79,78,73,69,69,67,65,70,69,67,66,65,64,63,61,66,65,64,63,63,62,62,62,62,62,62,62,62,62,62,62,62,63,63,64,66,70,76,80,76,81,84,86,88,79,78,73,70,70,70,0,0,0,44,44,64,74,81,82,84,82,79,83,78,75,79,77,74,74,71,70,69,69,69,68,68,68,69,71,74,80,83,80,77,75,79,81,83,85,87,81,74,73,75,77,79,80,81,82,83,84,84,85,85,85,87,87,87,83,82,82,83,84,84,84,85,85,81,81,79,79,79,80,80,81,83,82,82,82,83,82,82,81,80,77,76,73,76,83,80,78,75,69,67,67,66,65,65,65,65,67,72,74,76,79,85,78,79,85,87,80,80,82,84,82,86,88,89,91,91,91,90,53,82,86,85,82,80,79,80,79,77,79,87,84,79,74,71,68,66,68,68,68,67,67,68,68,69,70,70,71,71,70,71,72,74,75,76,77,79,79,78,76,75,74,73,72,73,75,75,76,76,75,75,74,73,71,68,68,67,68,70,71,72,72,73,73,74,76,78,79,81,80,81,80,80,80,77,78,78,78,78,76,75,77,78,78,80,81,82,82,83,82,78,78,77,77,76,76,77,77,77,77,77,75,74,73,74,74,74,75,75,75,20,79,80,80,80,0,90,90,90,0,0,0,0,80,83,85,87,90,91,90,89,89,90,91,91,91,89,88,86,85,84,81,79,77,74,72,67,67,69,70,70,71,72,73,73,74,78,77,74,75,78,80,80,79,78,79,78,77,80,79,78,77,76,77,78,78,78,80,82,81,80,79,78,78,77,77,76,76,76,85,85,85,85,86,88,88,86,85,83,79,79,80,83,81,80,80,84,85,80,80,82,84,86,88,89,78,78,79,82,84,84,85,84,82,81,81,84,84,81,79,79,79,74,75,74,73,71,70,74,75,77,77,77,74,67,65,66,68,72,76,78,78,79,78,78,78,78,78,78,77,75,75,76,79,85,86,85,85,83,80,79,77,78,77,76,81,84,86,88,88,86,85,86,85,84,83,82,82,82,80,79,78,78,78,79,81,83,83,83,81,80,79,79,83,88,90,93,76,76,76,77,80,83,85,85,83,84,86,91,93,83,77,77,77,77,78,77,77,74,72,71,72,72,71,69,68,67,66,64,66,67,67,67,64,62,61,61,64,66,66,65,85,83,81,76,73,71,68,68,67,67,67,67,68,68,68,67,66,64,64,64,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,49,52,54,54,54,0,0,0,0,0,87,85,80,83,85,85,84,83,81,80,78,75,73,76,78,81,79,78,75,77,77,79,75,76,74,73,72,72,74,74,73,71,70,70,70,70,70,72,77,78,79,73,73,73,76,76,78,81,86,83,73,74,74,78,83,86,82,82,82,82,81,81,82,81,82,85,85,86,81,75,75,76,77,78,78,78,78,77,76,76,75,75,77,79,83,89,80,77,75,74,78,77,76,76,76,76,75,76,76,77,77,78,79,81,85,79,78,78,80,80,80,81,82,83,73,74,75,76,78,81,80,82,84,86,86,87,87,86,84,84,77,75,74,73,73,74,78,81,80,79,79,82,83,85,84,76,73,75,77,78,81,82,83,83,83,82,82,81,80,80,80,83,84,85,87,81,80,80,81,79,79,78,79,79,76,75,75,76,77,78,84,85,87,89,78,76,80,82,83,78,71,68,64,62,62,62,62,62,61,61,62,64,67,69,71,75,77,79,81,84,86,89,89,72,68,78,79,80,80,80,80,81,81,81,79,77,76,76,77,78,79,78,76,81,78,81,77,72,69,67,65,65,65,66,66,66,65,65,65,66,67,68,67,66,63,64,63,63,62,62,61,61,61,61,61,61,61,59,58,60,62,64,66,69,75,75,76,77,79,79,81,81,84,86,88,80,78,83,86,90,86,84,76,77,79,83,86,90,81,76,74,75,76,77,79,82,84,86,87,88,88,86,85,83,81,79,78,80,79,79,79,79,80,80,80,79,79,78,78,80,83,82,82,82,83,82,81,80,77,76,74,76,78,77,77,78,79,79,79,79,77,76,74,74,74,74,74,75,75,76,77,76,77,76,77,77,78,79,80,80,79,79,79,79,79,78,78,77,78,79,80,80,81,83,84,79,75,77,79,81,84,76,76,79,81,82,84,85,80,81,81,83,84,87,82,77,77,80,82,84,87,82,67,85,85,85,84,84,84,84,84,83,83,83,82,81,80,80,80,80,80,80,81,81,81,81,81,81,82,83,72,58,55,55,60,84,82,81,81,81,23,85,84,67,67,79,82,83,86,88,85,84,86,86,84,88,84,81,86,83,81,79,73,76,76,77,77,74,73,72,72,75,76,78,82,76,75,77,77,77,78,79,79,80,81,81,79,78,79,80,80,79,78,76,76,72,76,79,78,77,75,75,74,74,77,87,90,74,80,83,86,91,82,74,77,80,81,80,65,65,65,0,59,64,64,75,75,76,76,76,76,76,76,76,76,75,74,73,72,70,69,72,72,72,71,72,73,72,71,70,70,71,71,72,72,72,73,73,73,74,75,78,78,79,80,81,82,83,83,84,85,78,78,80,81,83,84,80,82,84,86,80,80,83,83,85,78,79,81,82,83,85,87,79,78,78,79,80,80,80,80,79,79,78,78,78,78,77,77,77,76,79,83,83,83,82,82,83,82,82,81,80,79,81,82,81,80,78,77,76,75,75,75,75,76,76,77,78,79,79,81,77,67,67,67,71,65,64,67,78,80,81,82,84,78,77,78,79,79,80,81,81,81,80,80,80,80,79,82,82,82,81,81,80,80,79,79,85,84,83,81,81,80,79,78,78,77,77,76,76,76,76,76,76,75,75,75,75,75,75,75,75,76,75,76,76,76,77,78,80,81,81,72,73,73,74,61,61,61,61,63,74,67,68,71,74,77,83,85,88,90,90,92,94,94,94,95,78,63,39,59,59,26,82,90,87,85,79,77,75,74,73,72,72,36,77,77,83,80,80,79,78,79,79,80,79,79,79,81,80,79,79,77,78,76,77,77,77,77,77,77,77,81,80,82,83,84,84,84,83,83,82,81,81,80,80,80,79,76,75,75,76,7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Now would be a good time to introduce another Python data structure. In parts 1 & 2 we covered strings, f-strings, lists, loops, functions & list comprehensions. You'll remember a list is simply a series of items denoted by []. Another way to reference a bunch of items is with a dictionary. A dictionary is similar to a list except it is denoted by {} and each item has both a name (or 'key') and a value, e.g. 'first_name':'Alan'

This structure is really handy when dealing with data because if we have a list say of my firstname, lastname and age..

my_list = ['Alan','Couzens','45'] we can get my first name by calling my_list[0] (as lists start at index 0). We could get my age by typing my_list[2] etc.

However, with a similar dictionary... my_dictionary = {'first_name':'Alan', 'last_name':'Couzens', 'age':45}

i.e. rather than identifying an item by number, we can instead reference it by name e.g. my_dictionary['first_name'] would return 'Alan'. When data gets really big, this is VERY handy. Believe me, counting through items in lists can get really old!

You'll probably notice the similarity between dictionaries and json format. In fact, they're almost identical, except for one key difference: JSON is just a string of text. In other words, I can't call response['weighted_power'] above and get 263...

In [7]:
print(power_data['weighted_power'])
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-7-0c95d4405df6> in <module>()
----> 1 print(power_data['weighted_power'])

TypeError: string indices must be integers

See, it trips an error saying that we can't use 'weighted_power' as an index in our string. We need to convert it to a dictionary first. Fortunately, it's very easy as there is a package for working with json data called json...

In [12]:
import json

power_data_dictionary = json.loads(power_data)
print(power_data_dictionary['weighted_power'])
263

Very cool! By simply converting the returned json response to a dictionary we can easily pull any power stat from any activity just by passing the name of the stat!

We still have a problem though. If we want to get long term data, we need all of the activity numbers for a given athlete. If athletes have given us explicit permission to access their data via the method that I outlined above, we could do this with the /activities API call but Cam hasn't given me explicit permission to access all his data so what can we do?

Fortunately, when you know how to code, there's always a work around :-) In this case, we can pull the activity identification numbers directly from the html...

In [13]:
response = session.get('https://www.strava.com/athletes/430673#interval?interval=201922&interval_type=week&chart_type=miles&year_offset=0')
print(response.text)
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<div class='message page-status-message' style='display:none;'>Loading &hellip;</div>
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<div class='page container'><div id='athlete-profile' str-trackable-id='CgkIF7IBBAjRpBo='>
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<div class='profile-heading profile section'>
<div class='avatar avatar-athlete avatar-xl' title='Cameron Wurf'>
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<img class='avatar-img' src='https://dgalywyr863hv.cloudfront.net/pictures/athletes/430673/5641391/3/large.jpg'>
</div>
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<div class='row'>
<div class='spans5'>
<h1 class='text-title1 athlete-name' title='Subscriber Since: Apr 29, 2012'>Cameron Wurf</h1>
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<div class='app-icon icon-xs icon-premium mr-sm'></div>
Subscriber
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<div class='app-icon icon-location icon-xs mr-sm'></div>
Andorra
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<p>🚣🚴🏊🚴🏃🚵</p>
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<div class='spans10 offset1'><section class='activity-summary-v2'>
<div class='activity-count'>
<h3 class='text-footnote'>Last 4 Weeks</h3>
<div class='count-total'>
<div class='count text-display5'>26</div>
<div class='count-label'>Total Activities</div>
</div>
</div>
<div class='activity-calendar'>
<h3 class='vh'>Calendar</h3>
<table>
<caption class='vh'>Last four weeks of activity</caption>
<thead>
<tr>
<th scope='col'>
<div class='weekday'>M</div>
</th>
<th scope='col'>
<div class='weekday'>T</div>
</th>
<th scope='col'>
<div class='weekday'>W</div>
</th>
<th scope='col'>
<div class='weekday'>T</div>
</th>
<th scope='col'>
<div class='weekday'>F</div>
</th>
<th scope='col'>
<div class='weekday'>S</div>
</th>
<th scope='col'>
<div class='weekday'>S</div>
</th>
</tr>
</thead>
<tbody>
<tr>
<td class='day-wrapper highlighted'>
<span class='day'>2</span>
<span class='activity-indicator' style='height: 13px; width: 13px;'></span>
<div class='vh'>1<abbr class='unit' title='hour'>h</abbr> 22<abbr class='unit' title='minute'>m</abbr></div>
</td>
<td class='day-wrapper highlighted'>
<span class='day'>3</span>
<span class='activity-indicator' style='height: 12px; width: 12px;'></span>
<div class='vh'>0<abbr class='unit' title='hour'>h</abbr> 57<abbr class='unit' title='minute'>m</abbr></div>
</td>
<td class='day-wrapper highlighted'>
<span class='day'>4</span>
<span class='activity-indicator' style='height: 25px; width: 25px;'></span>
<div class='vh'>5<abbr class='unit' title='hour'>h</abbr> 12<abbr class='unit' title='minute'>m</abbr></div>
</td>
<td class='day-wrapper highlighted'>
<span class='day'>5</span>
<span class='activity-indicator' style='height: 28px; width: 28px;'></span>
<div class='vh'>6<abbr class='unit' title='hour'>h</abbr> 43<abbr class='unit' title='minute'>m</abbr></div>
</td>
<td class='day-wrapper highlighted'>
<span class='day'>6</span>
<span class='activity-indicator' style='height: 23px; width: 23px;'></span>
<div class='vh'>4<abbr class='unit' title='hour'>h</abbr> 32<abbr class='unit' title='minute'>m</abbr></div>
</td>
<td class='day-wrapper highlighted'>
<span class='day'>7</span>
<span class='activity-indicator' style='height: 26px; width: 26px;'></span>
<div class='vh'>5<abbr class='unit' title='hour'>h</abbr> 36<abbr class='unit' title='minute'>m</abbr></div>
</td>
<td class='day-wrapper highlighted'>
<span class='day'>8</span>
<span class='activity-indicator' style='height: 20px; width: 20px;'></span>
<div class='vh'>3<abbr class='unit' title='hour'>h</abbr> 36<abbr class='unit' title='minute'>m</abbr></div>
</td>
</tr>
<tr>
<td class='day-wrapper'>
<span class='day'>9</span>
<span class='activity-indicator'></span>
<div class='vh'>0<abbr class='unit' title='hour'>h</abbr> 0<abbr class='unit' title='minute'>m</abbr></div>
</td>
<td class='day-wrapper'>
<span class='day'>10</span>
<span class='activity-indicator'></span>
<div class='vh'>0<abbr class='unit' title='hour'>h</abbr> 0<abbr class='unit' title='minute'>m</abbr></div>
</td>
<td class='day-wrapper highlighted'>
<span class='day'>11</span>
<span class='activity-indicator' style='height: 10px; width: 10px;'></span>
<div class='vh'>0<abbr class='unit' title='hour'>h</abbr> 35<abbr class='unit' title='minute'>m</abbr></div>
</td>
<td class='day-wrapper'>
<span class='day'>12</span>
<span class='activity-indicator'></span>
<div class='vh'>0<abbr class='unit' title='hour'>h</abbr> 0<abbr class='unit' title='minute'>m</abbr></div>
</td>
<td class='day-wrapper highlighted'>
<span class='day'>13</span>
<span class='activity-indicator' style='height: 10px; width: 10px;'></span>
<div class='vh'>0<abbr class='unit' title='hour'>h</abbr> 30<abbr class='unit' title='minute'>m</abbr></div>
</td>
<td class='day-wrapper highlighted'>
<span class='day'>14</span>
<span class='activity-indicator' style='height: 21px; width: 21px;'></span>
<div class='vh'>3<abbr class='unit' title='hour'>h</abbr> 51<abbr class='unit' title='minute'>m</abbr></div>
</td>
<td class='day-wrapper highlighted'>
<span class='day'>15</span>
<span class='activity-indicator' style='height: 25px; width: 25px;'></span>
<div class='vh'>5<abbr class='unit' title='hour'>h</abbr> 13<abbr class='unit' title='minute'>m</abbr></div>
</td>
</tr>
<tr>
<td class='day-wrapper'>
<span class='day'>16</span>
<span class='activity-indicator'></span>
<div class='vh'>0<abbr class='unit' title='hour'>h</abbr> 0<abbr class='unit' title='minute'>m</abbr></div>
</td>
<td class='day-wrapper highlighted'>
<span class='day'>17</span>
<span class='activity-indicator' style='height: 14px; width: 14px;'></span>
<div class='vh'>1<abbr class='unit' title='hour'>h</abbr> 50<abbr class='unit' title='minute'>m</abbr></div>
</td>
<td class='day-wrapper highlighted'>
<span class='day'>18</span>
<span class='activity-indicator' style='height: 11px; width: 11px;'></span>
<div class='vh'>0<abbr class='unit' title='hour'>h</abbr> 44<abbr class='unit' title='minute'>m</abbr></div>
</td>
<td class='day-wrapper highlighted'>
<span class='day'>19</span>
<span class='activity-indicator' style='height: 10px; width: 10px;'></span>
<div class='vh'>0<abbr class='unit' title='hour'>h</abbr> 33<abbr class='unit' title='minute'>m</abbr></div>
</td>
<td class='day-wrapper'>
<span class='day'>20</span>
<span class='activity-indicator'></span>
<div class='vh'>0<abbr class='unit' title='hour'>h</abbr> 0<abbr class='unit' title='minute'>m</abbr></div>
</td>
<td class='day-wrapper highlighted'>
<span class='day'>21</span>
<span class='activity-indicator' style='height: 10px; width: 10px;'></span>
<div class='vh'>0<abbr class='unit' title='hour'>h</abbr> 28<abbr class='unit' title='minute'>m</abbr></div>
</td>
<td class='day-wrapper'>
<span class='day'>22</span>
<span class='activity-indicator'></span>
<div class='vh'>0<abbr class='unit' title='hour'>h</abbr> 0<abbr class='unit' title='minute'>m</abbr></div>
</td>
</tr>
<tr>
<td class='day-wrapper'>
<span class='day'>23</span>
<span class='activity-indicator'></span>
<div class='vh'>0<abbr class='unit' title='hour'>h</abbr> 0<abbr class='unit' title='minute'>m</abbr></div>
</td>
<td class='day-wrapper highlighted'>
<span class='day'>24</span>
<span class='activity-indicator' style='height: 19px; width: 19px;'></span>
<div class='vh'>3<abbr class='unit' title='hour'>h</abbr> 25<abbr class='unit' title='minute'>m</abbr></div>
</td>
<td class='day-wrapper highlighted'>
<span class='day'>25</span>
<span class='activity-indicator' style='height: 16px; width: 16px;'></span>
<div class='vh'>2<abbr class='unit' title='hour'>h</abbr> 17<abbr class='unit' title='minute'>m</abbr></div>
</td>
<td class='day-wrapper highlighted'>
<span class='day'>26</span>
<span class='activity-indicator' style='height: 10px; width: 10px;'></span>
<div class='vh'>0<abbr class='unit' title='hour'>h</abbr> 34<abbr class='unit' title='minute'>m</abbr></div>
</td>
<td class='day-wrapper highlighted'>
<span class='day'>27</span>
<span class='activity-indicator' style='height: 10px; width: 10px;'></span>
<div class='vh'>0<abbr class='unit' title='hour'>h</abbr> 33<abbr class='unit' title='minute'>m</abbr></div>
</td>
<td class='day-wrapper highlighted'>
<span class='day'>28</span>
<span class='activity-indicator' style='height: 22px; width: 22px;'></span>
<div class='vh'>4<abbr class='unit' title='hour'>h</abbr> 9<abbr class='unit' title='minute'>m</abbr></div>
</td>
<td class='day-wrapper highlighted'>
<span class='day'>29</span>
<span class='activity-indicator' style='height: 10px; width: 10px;'></span>
<div class='vh'>0<abbr class='unit' title='hour'>h</abbr> 35<abbr class='unit' title='minute'>m</abbr></div>
</td>
</tr>
</tbody>
</table>
</div>
<div class='activity-breakdown'>
<h3 class='vh'>Hourly breakdown per week</h3>
<figure>
<figcaption>
<dl class='legend'>
<dt class='label-ride'></dt>
<dd>
<div class='app-icon icon-dark icon-ride-v3 icon-sm' title='Cycling'>
<div class='vh'>Cycling</div>
</div>
</dd>
<dt class='label-run'></dt>
<dd>
<div class='app-icon icon-dark icon-run-v3 icon-sm' title='Running'>
<div class='vh'>Running</div>
</div>
</dd>
<dt class='label-swim'></dt>
<dd>
<div class='app-icon icon-dark icon-sm icon-swim-v3' title='Swimming'>
<div class='vh'>Swimming</div>
</div>
</dd>
<dt class='label-other'></dt>
<dd>
<div class='app-icon icon-dark icon-other-v3 icon-sm' title='Other Activities'>
<div class='vh'>Other Activities</div>
</div>
</dd>
</dl>
</figcaption>
<dl class='week-breakdown'>
<dt class='week vh'>
Week 1
</dt>
<dd class='hours'>
<ul class='hour-breakdown' style='width:65.0%'>
<li class='cycling sport' style='width:99%' tabindex='0'>
<div class='sport-breakdown'>
<div class='vh'>Cycling</div>
27<abbr class='unit' title='hour'>h</abbr> 40<abbr class='unit' title='minute'>m</abbr>
</div>
</li>
<li class='running sport' style='width:1%' tabindex='0'>
<div class='sport-breakdown'>
<div class='vh'>Running</div>
0<abbr class='unit' title='hour'>h</abbr> 22<abbr class='unit' title='minute'>m</abbr>
</div>
</li>
</ul>
<div class='hour-total'>
<span class="vh">Total</span> 28<abbr class='unit' title='hour'>h</abbr> 2<abbr class='unit' title='minute'>m</abbr>
</div>
</dd>
<dt class='week vh'>
Week 2
</dt>
<dd class='hours'>
<ul class='hour-breakdown' style='width:23.400000000000002%'>
<li class='cycling sport' style='width:79%' tabindex='0'>
<div class='sport-breakdown'>
<div class='vh'>Cycling</div>
8<abbr class='unit' title='hour'>h</abbr> 1<abbr class='unit' title='minute'>m</abbr>
</div>
</li>
<li class='running sport' style='width:10%' tabindex='0'>
<div class='sport-breakdown'>
<div class='vh'>Running</div>
1<abbr class='unit' title='hour'>h</abbr> 0<abbr class='unit' title='minute'>m</abbr>
</div>
</li>
<li class='sport swimming' style='width:11%' tabindex='0'>
<div class='sport-breakdown'>
<div class='vh'>Swimming</div>
1<abbr class='unit' title='hour'>h</abbr> 9<abbr class='unit' title='minute'>m</abbr>
</div>
</li>
</ul>
<div class='hour-total'>
<span class="vh">Total</span> 10<abbr class='unit' title='hour'>h</abbr> 10<abbr class='unit' title='minute'>m</abbr>
</div>
</dd>
<dt class='week vh'>
Week 3
</dt>
<dd class='hours'>
<ul class='hour-breakdown' style='width:8.450000000000001%'>
<li class='running sport' style='width:64%' tabindex='0'>
<div class='sport-breakdown'>
<div class='vh'>Running</div>
2<abbr class='unit' title='hour'>h</abbr> 18<abbr class='unit' title='minute'>m</abbr>
</div>
</li>
<li class='sport swimming' style='width:36%' tabindex='0'>
<div class='sport-breakdown'>
<div class='vh'>Swimming</div>
1<abbr class='unit' title='hour'>h</abbr> 17<abbr class='unit' title='minute'>m</abbr>
</div>
</li>
</ul>
<div class='hour-total'>
<span class="vh">Total</span> 3<abbr class='unit' title='hour'>h</abbr> 36<abbr class='unit' title='minute'>m</abbr>
</div>
</dd>
<dt class='week vh'>
Week 4
</dt>
<dd class='hours'>
<ul class='hour-breakdown' style='width:26.650000000000002%'>
<li class='cycling sport' style='width:74%' tabindex='0'>
<div class='sport-breakdown'>
<div class='vh'>Cycling</div>
8<abbr class='unit' title='hour'>h</abbr> 36<abbr class='unit' title='minute'>m</abbr>
</div>
</li>
<li class='running sport' style='width:15%' tabindex='0'>
<div class='sport-breakdown'>
<div class='vh'>Running</div>
1<abbr class='unit' title='hour'>h</abbr> 41<abbr class='unit' title='minute'>m</abbr>
</div>
</li>
<li class='sport swimming' style='width:11%' tabindex='0'>
<div class='sport-breakdown'>
<div class='vh'>Swimming</div>
1<abbr class='unit' title='hour'>h</abbr> 18<abbr class='unit' title='minute'>m</abbr>
</div>
</li>
</ul>
<div class='hour-total'>
<span class="vh">Total</span> 11<abbr class='unit' title='hour'>h</abbr> 36<abbr class='unit' title='minute'>m</abbr>
</div>
</dd>
</dl>
</figure>
</div>
</section>
</div>
</div>
</div>

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Overview
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<a class='tab trophy-case' href='/athletes/430673/trophy-case' str-on='click' str-target-url='/athletes/430673/trophy-case' str-trackable-id='CgkIGLoBBAjRpBo=' str-type='self'>
Trophy Case
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Following
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KOMs / CRs
</a>
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<div class='tab-content'>
<div class='section' id='trophy-case-summary'>
<h2>
Trophies
<a class='hlink' href='/athletes/430673/trophy-case' str-on='click' str-target-url='/athletes/430673/trophy-case' str-type='self'>
View more
</a>
</h2>
<ul class='list-block-grid list-trophies'>
<li class='centered' title='fizik ride now, shop later'><a str-on="click" str-target-url="/challenges/fizik-ride-now-shop-later" str-trackable-id="CgwIGcIBBwjDEBDRpBo=" type="self" class="trophy-link" href="/challenges/fizik-ride-now-shop-later"><img alt="fizik ride now, shop later" data-trophy-challenge-id="2115" src="https://dgalywyr863hv.cloudfront.net/challenges/2115/2115-logo-100.png" />
</a><div class='challenge-description'>
<h6 class='mb-xs'><a str-on="click" str-target-url="/challenges/fizik-ride-now-shop-later" str-trackable-id="CgwIGcIBBwjDEBDRpBo=" type="self" href="/challenges/fizik-ride-now-shop-later">fizik ride now, shop later</a></h6>
<time class='timestamp'>
Nov 2020
</time>
<div class='effort'></div>
</div>
</li>
<li class='centered' title='Castelli Paris-Roubaix Challenge'><a str-on="click" str-target-url="/challenges/castelli-paris-roubaix" str-trackable-id="CgwIGcIBBwiZEBDRpBo=" type="self" class="trophy-link" href="/challenges/castelli-paris-roubaix"><img alt="Castelli Paris-Roubaix Challenge" data-trophy-challenge-id="2073" src="https://dgalywyr863hv.cloudfront.net/challenges/2073/2073-logo-100.png" />
</a><div class='challenge-description'>
<h6 class='mb-xs'><a str-on="click" str-target-url="/challenges/castelli-paris-roubaix" str-trackable-id="CgwIGcIBBwiZEBDRpBo=" type="self" href="/challenges/castelli-paris-roubaix">Castelli Paris-Roubaix Challenge</a></h6>
<time class='timestamp'>
Oct 2020
</time>
<div class='effort'></div>
</div>
</li>
</ul>
</div>
<div class='section athlete-achievements'>
<h2>Achievements</h2>
<ul>
<li>
<div class='app-icon icon-at-pr-1 icon-sm'></div>
PR on <a href="/activities/4404163137#2767879808838639970">Mc Andrews Hill Rd Climb</a> (4:05)
<time class="timeago" datetime="2020-11-28T17:49:59Z">November 28, 2020</time>
</li>
<li>
<div class='app-icon icon-at-pr-1 icon-sm'></div>
PR on <a href="/activities/4404163137#2767879808841311586">Mc Andrews Hill Rd Climb</a> (16:44)
<time class="timeago" datetime="2020-11-28T17:49:59Z">November 28, 2020</time>
</li>
<li>
<div class='app-icon icon-at-pr-2 icon-sm'></div>
2nd fastest time on <a href="/activities/4404163137#2767879808834272610">Rock Lodge (from 219)</a> (7:10)
<time class="timeago" datetime="2020-11-28T17:49:59Z">November 28, 2020</time>
</li>
<li>
<div class='app-icon icon-at-pr-3 icon-sm'></div>
3rd fastest time on <a href="/activities/4404163137#2767879808840106338">New Germany Rd Climb</a> (5:50)
<time class="timeago" datetime="2020-11-28T17:49:59Z">November 28, 2020</time>
</li>
</ul>
</div>
<div class='section' id='athlete-recent-photos'>
<h2>Photos</h2>
<div class="photostream" id="athlete-recent-photos-photostream"><div class='spinner sm ' style=''>
      <div class='graphic'></div>
      <span class='status'></span>
    </div>
<script>
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<div class='section' id='activity-log'>
<div class='section' id='interval-graph'><h2 class='text-callout left' id='interval-value'>Activities for Nov 23, 2020 - Nov 29, 2020
</h2>
<div class='right' id='interval-date-range'><div class='drop-down-menu drop-down-sm'>
<div class='selection'>Nov 25, 2019 - Nov 23, 2020</div>
<ul class='options'>
<li><a class="" href="/athletes/430673#graph_date_range?chart_type=miles&amp;interval_type=week&amp;interval=201948&amp;year_offset=1">Nov 26, 2018 - Nov 25, 2019</a></li>
<li><a class="" href="/athletes/430673#graph_date_range?chart_type=miles&amp;interval_type=week&amp;interval=201848&amp;year_offset=2">Nov 27, 2017 - Nov 26, 2018</a></li>
<li><a class="" href="/athletes/430673#graph_date_range?chart_type=miles&amp;interval_type=week&amp;interval=201748&amp;year_offset=3">Nov 28, 2016 - Nov 27, 2017</a></li>
<li><a class="" href="/athletes/430673#graph_date_range?chart_type=miles&amp;interval_type=week&amp;interval=201648&amp;year_offset=4">Nov 23, 2015 - Nov 28, 2016</a></li>
<li><a class="" href="/athletes/430673#graph_date_range?chart_type=miles&amp;interval_type=week&amp;interval=201548&amp;year_offset=5">Nov 24, 2014 - Nov 23, 2015</a></li>
<li><a class="" href="/athletes/430673#graph_date_range?chart_type=miles&amp;interval_type=week&amp;interval=201448&amp;year_offset=6">Nov 25, 2013 - Nov 24, 2014</a></li>
<li><a class="" href="/athletes/430673#graph_date_range?chart_type=miles&amp;interval_type=week&amp;interval=201348&amp;year_offset=7">Nov 26, 2012 - Nov 25, 2013</a></li>
<li><a class="" href="/athletes/430673#graph_date_range?chart_type=miles&amp;interval_type=week&amp;interval=201248&amp;year_offset=8">Nov 28, 2011 - Nov 26, 2012</a></li>
</ul>
</div>
</div>
<div class='clear'></div>
<ul id='totals'><li>
<strong>283.1<abbr class='unit' title='kilometers'>km</abbr></strong>
</li>
<li>
<strong>11<abbr class='unit' title='hour'>h</abbr> 37<abbr class='unit' title='minute'>m</abbr></strong>
</li>
<li>
<strong>4,878<abbr class='unit' title='meters'>m</abbr></strong>
</li>
</ul>
<div id='interval-graph-columns'><div class='athlete-graph' style='height: 130px;'>
<ul class='y-axis'>
<li class='label' style='bottom: 12px'>0 km</li>
<li class='label' style='bottom: 32px'>230</li>
<li class='label' style='bottom: 52px'>460</li>
<li class='label' style='bottom: 72px'>690</li>
<li class='label' style='bottom: 92px'>920</li>
<li class='label' style='bottom: 112px'>1150</li>
</ul>
<ul class='intervals' style='height: 113px;'>
<li class='interval selectable w-201948' id='interval-201948' style='left: 0.0%; width: 1.8113207547169812%;'>
<div class='bar'>
<a class="bar" href="/athletes/430673#interval?interval=201948&amp;interval_type=week&amp;chart_type=miles&amp;year_offset=0"><div class='fill' style='height: 13px;'></div>
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Dec 2019
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<div class='tick' style='left: 1.8113207547169812%;'></div>
<div class='tick' style='left: 3.6226415094339623%;'></div>
<div class='tick' style='left: 5.433962264150944%;'></div>
<div class='tick' style='left: 7.245283018867925%;'></div>
<div class='tick' style='left: 9.056603773584905%;'></div>
<div class='label' style='left: 9.056603773584905%;'>
Jan 2020
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<div class='tick' style='left: 10.867924528301888%;'></div>
<div class='tick' style='left: 12.679245283018869%;'></div>
<div class='tick' style='left: 14.49056603773585%;'></div>
<div class='tick' style='left: 16.30188679245283%;'></div>
<div class='label' style='left: 16.30188679245283%;'>
Feb
</div>
<div class='tick' style='left: 18.11320754716981%;'></div>
<div class='tick' style='left: 19.92452830188679%;'></div>
<div class='tick' style='left: 21.735849056603776%;'></div>
<div class='tick' style='left: 23.547169811320757%;'></div>
<div class='label' style='left: 23.547169811320757%;'>
Mar
</div>
<div class='tick' style='left: 25.358490566037737%;'></div>
<div class='tick' style='left: 27.169811320754718%;'></div>
<div class='tick' style='left: 28.9811320754717%;'></div>
<div class='tick' style='left: 30.79245283018868%;'></div>
<div class='tick' style='left: 32.60377358490566%;'></div>
<div class='label' style='left: 32.60377358490566%;'>
Apr
</div>
<div class='tick' style='left: 34.41509433962264%;'></div>
<div class='tick' style='left: 36.22641509433962%;'></div>
<div class='tick' style='left: 38.0377358490566%;'></div>
<div class='tick' style='left: 39.84905660377358%;'></div>
<div class='label' style='left: 39.84905660377358%;'>
May
</div>
<div class='tick' style='left: 41.660377358490564%;'></div>
<div class='tick' style='left: 43.47169811320755%;'></div>
<div class='tick' style='left: 45.28301886792453%;'></div>
<div class='tick' style='left: 47.09433962264151%;'></div>
<div class='tick' style='left: 48.905660377358494%;'></div>
<div class='label' style='left: 48.905660377358494%;'>
Jun
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<div class='tick' style='left: 50.716981132075475%;'></div>
<div class='tick' style='left: 52.528301886792455%;'></div>
<div class='tick' style='left: 54.339622641509436%;'></div>
<div class='tick' style='left: 56.15094339622642%;'></div>
<div class='label' style='left: 56.15094339622642%;'>
Jul
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<div class='tick' style='left: 57.9622641509434%;'></div>
<div class='tick' style='left: 59.77358490566038%;'></div>
<div class='tick' style='left: 61.58490566037736%;'></div>
<div class='tick' style='left: 63.39622641509434%;'></div>
<div class='label' style='left: 63.39622641509434%;'>
Aug
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<div class='tick' style='left: 65.20754716981132%;'></div>
<div class='tick' style='left: 67.01886792452831%;'></div>
<div class='tick' style='left: 68.83018867924528%;'></div>
<div class='tick' style='left: 70.64150943396227%;'></div>
<div class='tick' style='left: 72.45283018867924%;'></div>
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Sep
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<div class='tick' style='left: 74.26415094339623%;'></div>
<div class='tick' style='left: 76.0754716981132%;'></div>
<div class='tick' style='left: 77.88679245283019%;'></div>
<div class='tick' style='left: 79.69811320754717%;'></div>
<div class='label' style='left: 79.69811320754717%;'>
Oct
</div>
<div class='tick' style='left: 81.50943396226415%;'></div>
<div class='tick' style='left: 83.32075471698113%;'></div>
<div class='tick' style='left: 85.13207547169812%;'></div>
<div class='tick' style='left: 86.9433962264151%;'></div>
<div class='label' style='left: 86.9433962264151%;'>
Nov
</div>
<div class='tick' style='left: 88.75471698113208%;'></div>
<div class='tick' style='left: 90.56603773584906%;'></div>
<div class='tick' style='left: 92.37735849056604%;'></div>
<div class='tick' style='left: 94.18867924528303%;'></div>
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Cameron Wurf
<span class="app-icon-wrapper  "><span title="Subscriber" class="app-icon icon-badge-premium icon-sm">Subscriber</span></span>
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<time class='timestamp' datetime='2020-11-29 13:25:26 UTC'>
Today at 8:25 AM
</time>


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<strong>
<a href="/activities/4407563011">Morning Run</a>
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Cameron Wurf
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<time class='timestamp' datetime='2020-11-28 21:26:23 UTC'>
Yesterday
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fizik ride now, shop later
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Yesterday
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fizik ride now, shop later
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Cameron Wurf
<span class="app-icon-wrapper  "><span title="Subscriber" class="app-icon icon-badge-premium icon-sm">Subscriber</span></span>
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<time class='timestamp' datetime='2020-11-28 17:49:59 UTC'>
Yesterday at 12:49 PM
</time>


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<div class='entry-type-icon'><span class="app-icon-wrapper  "><span class="app-icon icon-ride icon-dark icon-lg"></span></span></div>
<strong>
<a href="/activities/4404163137">Suns Out😎👌</a>
</strong>
</h3>
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<li title='Distance'>97.03<abbr class='unit' title='kilometers'> km</abbr></li>
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<a class='minimal' href='/activities/4404163137/segments/2767879808838639970' str-on='click' str-trackable-id='ChQIBTIQCMHkiLQQGAEwdjgAQABIARIECgIIBA==' str-type='self'>Mc Andrews Hill Rd Climb</a>
<strong>PR</strong>
(4:05)
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<li>
<a class='minimal' href='/activities/4404163137/segments/2767879808839986530' str-on='click' str-trackable-id='ChQIBTIQCMHkiLQQGAEwdjgAQABIARIECgIIBA==' str-type='self'>SavageMan Tri 70.0 first decent</a>
<strong>PR</strong>
(29:09)
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<li class='media' style='display:none;'>
<div class='media-left'>
<div class='avatar avatar-athlete avatar-sm'>
<a href="/athletes/1590615" class="avatar-content"><div class='avatar-img-wrapper'>
<img alt='Safehands Groo (3PCC 🇳🇷)' class='avatar-img' src='https://dgalywyr863hv.cloudfront.net/pictures/athletes/1590615/6219694/9/medium.jpg'>
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<div class='comment media-body'>
<a class="athlete-name" href="/athletes/1590615">Safehands Groo (3PCC 🇳🇷)</a>
<span class='comment-text'><a href='/athletes/430673'>Cameron Wurf</a>
 if the sun&#39;s out, something else is usually out 👙</span>
<div class='comment-actionable'>
<span class='timestamp'>
<time class="timeago" datetime="2020-11-28T23:01:50Z">November 28, 2020</time>
</span>
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<a class='report' data-comment-id='876333552' href='/comments/876333552/feedback'>
Report
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<a class="athlete-name" href="/athletes/9715389">Michelle Lawrence</a>
<span class='comment-text'>I find it so cool that you are in my state- I wondered if you would be trying the Savageman course. It is on my radar for racing at SOME point. Welcome and enjoy Maryland! </span>
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<time class="timeago" datetime="2020-11-29T02:05:51Z">November 29, 2020</time>
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<a class="athlete-name" href="/athletes/33680676">Ken C</a>
<span class='comment-text'>Bro you look 10 years older after joining Team Ineos what happened 😂</span>
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<time class="timeago" datetime="2020-11-29T02:11:16Z">November 29, 2020</time>
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<a class="athlete-name" href="/athletes/430673">Cameron Wurf</a>
<span class='comment-text'><a href='/athletes/33680676'>Ken C</a>
 try 20 since to arrival of our first kid 🙄</span>
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<time class="timeago" datetime="2020-11-29T02:29:47Z">November 29, 2020</time>
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<a class="athlete-name" href="/athletes/7334183">Cameron Roper</a>
<span class='comment-text'>All the best in Daytona Mr Wurf, say hi to L Sanders as you give him a lesson in riding , may have been blowing his trumpet too much lately . Stick it to him !!!</span>
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<a class="athlete-name" href="/athletes/430673">Cameron Wurf</a>
<span class='comment-text'><a href='/athletes/7334183'>Cameron Roper</a>
 I won’t be there, I’ll get back into IM next year... The “bubble” system at the races hasn’t allowed me to swim very much for quite a few months, I need to swim a lot to be average, if I don’t swim at all i sink!</span>
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<a class="athlete-name" href="/athletes/33680676">Ken C</a>
<span class='comment-text'><a href='/athletes/430673'>Cameron Wurf</a>
 kids only make you Faster 👊🏻 so they say 🤣</span>
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<time class="timeago" datetime="2020-11-29T03:28:32Z">November 29, 2020</time>
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<a class="athlete-name" href="/athletes/4987883">Jason Brooks</a>
<span class='comment-text'>🥶 cold part of the states this time of season</span>
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<time class="timeago" datetime="2020-11-29T03:30:06Z">November 29, 2020</time>
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<a class="athlete-name" href="/athletes/7317997">Rod Ascui</a>
<span class='comment-text'>Hi Cameron, had a couple of great days with Tony in Hobart. Caught up with Lindy as well. </span>
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<a class="athlete-name" href="/athletes/2127797">Jase B</a>
<span class='comment-text'><a href='/athletes/430673'>Cameron Wurf</a>
  why aren&#39;t you racing Daytona?! Ps we need more banter back! </span>
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Yesterday at 3:06 PM
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<li title='Distance'>2,743<abbr class='unit' title='meters'> m</abbr></li>
<li title='Time'>45<abbr class='unit' title='minute'>m</abbr> 22<abbr class='unit' title='second'>s</abbr></li>
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November 27, 2020 at 2:37 PM
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<time class='timestamp' datetime='2020-11-26 13:39:02 UTC'>
November 26, 2020 at 8:39 AM
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<strong>
<a href="/activities/4393160435">Thankful for my Training 🐩Buddy🐩....              Happy Thanksgiving USA🇺🇸✌️</a>
</strong>
</h3>
<ul class='inline-stats list-stats'>
<li title='Distance'>7.78<abbr class='unit' title='kilometers'> km</abbr></li>
<li title='Pace'>4:27<abbr class='unit' title='minutes per kilometer'> /km</abbr></li>
<li title='Time'>34<abbr class='unit' title='minute'>m</abbr> 41<abbr class='unit' title='second'>s</abbr></li>
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<a class="athlete-name" href="/athletes/21431119">Christian Newbold</a>
<span class='comment-text'>He’s loving it! Hope you’re well mate. Top job in the Vuelta 👍</span>
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<span class='timestamp'>
<time class="timeago" datetime="2020-11-26T18:52:07Z">November 26, 2020</time>
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<a class="athlete-name" href="/athletes/5318176">°Dennis Ilao°</a>
<span class='comment-text'>Happy Thanksgiving <a href='/athletes/430673'>Cameron Wurf</a>
! 🇵🇭 fan here.</span>
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<time class="timeago" datetime="2020-11-26T21:48:10Z">November 26, 2020</time>
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<a class="athlete-name" href="/athletes/153162">The  Fox</a>
<span class='comment-text'>She’s got a better stride length than you </span>
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<time class="timeago" datetime="2020-11-28T02:50:15Z">November 28, 2020</time>
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<a class="minimal athlete-name" href="/athletes/430673">Cameron Wurf</a> joined <a class="minimal" href="https://www.strava.com/clubs/291691">fi&#39;zi:k</a>
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<time class='timestamp' datetime='2020-11-26 02:27:45 UTC'>
November 25, 2020
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Cameron Wurf
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<time class='timestamp' datetime='2020-11-26 02:26:42 UTC'>
November 26, 2020
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fizik ride now, shop later
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Cameron Wurf
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<time class='timestamp' datetime='2020-11-25 18:50:09 UTC'>
November 25, 2020 at 1:50 PM
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<strong>
<a href="/activities/4390495788">Afternoon Ride</a>
</strong>
</h3>
<ul class='inline-stats list-stats'>
<li title='Distance'>55.51<abbr class='unit' title='kilometers'> km</abbr></li>
<li title='Elev Gain'>751<abbr class='unit' title='meters'> m</abbr></li>
<li title='Time'>1<abbr class='unit' title='hour'>h</abbr> 46<abbr class='unit' title='minute'>m</abbr></li>
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<span class='count'>10</span>
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<a class='minimal' href='/activities/4390495788/segments/2766780685678328882' str-on='click' str-trackable-id='ChQIBTIQCKzMxq0QGAEwdjgAQABIARIECgIICg==' str-type='self'>Magic Mike &quot;Kennedy Hill&quot;</a>
<strong>PR</strong>
(27<abbr class='unit' title='second'>s</abbr>)
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<li>
<a class='minimal' href='/activities/4390495788/segments/2766780685682039858' str-on='click' str-trackable-id='ChQIBTIQCKzMxq0QGAEwdjgAQABIARIECgIICg==' str-type='self'>Haley Farm/219 From Spring Glade to Top</a>
<strong>PR</strong>
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<a class="athlete-name" href="/athletes/33240564">Ella Galbraith</a>
<span class='comment-text'>deep creek fun!! 🤟🏼</span>
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<time class="timeago" datetime="2020-11-25T21:13:55Z">November 25, 2020</time>
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<a class="athlete-name" href="/athletes/774489">jimmy railey</a>
<span class='comment-text'>That looks really familiar to me🤔</span>
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<time class="timeago" datetime="2020-11-25T23:26:40Z">November 25, 2020</time>
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</div>
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Cameron Wurf
<span class="app-icon-wrapper  "><span title="Subscriber" class="app-icon icon-badge-premium icon-sm">Subscriber</span></span>
</a>
<time class='timestamp' datetime='2020-11-25 12:46:45 UTC'>
November 25, 2020 at 7:46 AM
</time>


</div>
<div class='entry-body'>
<h3 class='entry-title activity-title' str-on='click' str-trackable-id='ChQIBTIQCOrFzawQGAEwNTgAQABIARIECgIICw==' str-type='self'>
<div class='entry-type-icon'><span class="app-icon-wrapper  "><span class="app-icon icon-run icon-dark icon-lg"></span></span></div>
<strong>
<a href="/activities/4388512490">Morning Run</a>
</strong>
</h3>
<ul class='inline-stats list-stats'>
<li title='Distance'>7.36<abbr class='unit' title='kilometers'> km</abbr></li>
<li title='Elev Gain'>212<abbr class='unit' title='meters'> m</abbr></li>
<li title='Time'>31<abbr class='unit' title='minute'>m</abbr> 9<abbr class='unit' title='second'>s</abbr></li>
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<span class='app-icon icon-dark icon-kudo icon-sm'>kudos</span>
<span class='count count-kudos' data-kudo-count='785'>785</span>
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<span class='icon-comment app-icon icon-sm icon-dark'>Comments</span>
<span class='count count-comments'>0</span>
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<div class='comments'>
<div data-entity-id='Activity-4388512490'>
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<img alt='Alan Couzens' class='avatar-img' src='https://d3nn82uaxijpm6.cloudfront.net/assets/avatar/athlete/medium-bee27e393b8559be0995b6573bcfde897d6af934dac8f392a6229295290e16dd.png'>
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<div class='activity entity-details feed-entry' data-updated-at='1606247191' id='Activity-4385737177' str-trackable-id='ChQIBTIQCNmTpKsQGAEwdjgAQABIARIECgIIDA=='>
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<img alt='Cameron Wurf' class='avatar-img' src='https://dgalywyr863hv.cloudfront.net/pictures/athletes/430673/5641391/3/medium.jpg'>
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<a class='entry-athlete' href='/athletes/430673' str-on='click' str-trackable-id='ChQIBTIQCNmTpKsQGAEwdjgAQABIARIECgIIDA==' str-type='name'>
Cameron Wurf
<span class="app-icon-wrapper  "><span title="Subscriber" class="app-icon icon-badge-premium icon-sm">Subscriber</span></span>
</a>
<time class='timestamp' datetime='2020-11-24 16:12:27 UTC'>
November 24, 2020 at 11:12 AM
</time>


</div>
<div class='entry-body'>
<h3 class='entry-title activity-title' str-on='click' str-trackable-id='ChQIBTIQCNmTpKsQGAEwdjgAQABIARIECgIIDA==' str-type='self'>
<div class='entry-type-icon'><span class="app-icon-wrapper  "><span class="app-icon icon-ride icon-dark icon-lg"></span></span></div>
<strong>
<a href="/activities/4385737177">Lunch Ride</a>
</strong>
</h3>
<ul class='inline-stats list-stats'>
<li title='Distance'>102.51<abbr class='unit' title='kilometers'> km</abbr></li>
<li title='Elev Gain'>1,734<abbr class='unit' title='meters'> m</abbr></li>
<li title='Time'>3<abbr class='unit' title='hour'>h</abbr> 25<abbr class='unit' title='minute'>m</abbr></li>
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<span class='app-icon-wrapper'>
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Achievements
</span>
</span>
<span class='count'>17</span>
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<ul class='featured-achievements'>
<li>
<a class='minimal' href='/activities/4385737177/segments/2766406193666399916' str-on='click' str-trackable-id='ChQIBTIQCNmTpKsQGAEwdjgAQABIARIECgIIDA==' str-type='self'>Toothpick Rd.</a>
<strong>3rd overall</strong>
(1:03)
</li>
<li>
<a class='minimal' href='/activities/4385737177/segments/2766406193666399916' str-on='click' str-trackable-id='ChQIBTIQCNmTpKsQGAEwdjgAQABIARIECgIIDA==' str-type='self'>Toothpick Rd.</a>
<strong>PR</strong>
(1:03)
</li>
</ul>


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<div class='btn-group'>
<button class='btn btn-default btn-kudo btn-xs js-add-kudo' data-entry='[&quot;Activity&quot;,4385737177]' str-on='click' str-trackable-id='ChQIBTIQCNmTpKsQGAEwdjgAQABIARIECgIIDA==' str-type='kudos' title='Give Kudos'>
<span class='app-icon icon-dark icon-kudo icon-sm'>kudos</span>
<span class='count count-kudos' data-kudo-count='1201'>1201</span>
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<span class='icon-comment app-icon icon-sm icon-dark'>Comments</span>
<span class='count count-comments'>2</span>
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</div>
<div class='comments'>
<div data-entity-id='Activity-4385737177'>
<ol class='thread' id='Activity-4385737177'>
<li class='media'>
<div class='media-left'>
<div class='avatar avatar-athlete avatar-sm'>
<a href="/athletes/11722746" class="avatar-content"><div class='avatar-img-wrapper'>
<div class='avatar-badge'><span class="app-icon-wrapper  "><span class="app-icon icon-sm icon-badge-premium"></span></span></div>
<img alt='mark henrickson' class='avatar-img' src='https://dgalywyr863hv.cloudfront.net/pictures/athletes/11722746/3559260/4/medium.jpg'>
</div>
</a></div>

</div>
<div class='comment media-body'>
<a class="athlete-name" href="/athletes/11722746">mark henrickson</a>
<span class='comment-text'>savageman-esque!</span>
<div class='comment-actionable'>
<span class='timestamp'>
<time class="timeago" datetime="2020-11-24T21:38:48Z">November 24, 2020</time>
</span>
<div class='comment-actions'>
<span class='report-comment'>
<a class='report' data-comment-id='873634912' href='/comments/873634912/feedback'>
Report
</a>
</span>
</div>
</div>
</div>
</li>

<li class='media'>
<div class='media-left'>
<div class='avatar avatar-athlete avatar-sm'>
<a href="/athletes/7688617" class="avatar-content"><div class='avatar-img-wrapper'>
<div class='avatar-badge'><span class="app-icon-wrapper  "><span class="app-icon icon-sm icon-badge-premium"></span></span></div>
<img alt='Massimo Callegari' class='avatar-img' src='https://dgalywyr863hv.cloudfront.net/pictures/athletes/7688617/3135206/7/medium.jpg'>
</div>
</a></div>

</div>
<div class='comment media-body'>
<a class="athlete-name" href="/athletes/7688617">Massimo Callegari</a>
<span class='comment-text'>What are you doing up there?!</span>
<div class='comment-actionable'>
<span class='timestamp'>
<time class="timeago" datetime="2020-11-24T21:54:15Z">November 24, 2020</time>
</span>
<div class='comment-actions'>
<span class='report-comment'>
<a class='report' data-comment-id='873644394' href='/comments/873644394/feedback'>
Report
</a>
</span>
</div>
</div>
</div>
</li>

</ol>
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</div></div>

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</div>
</div>
</div>
</div>
<div class='spans5 offset1 sidebar'>
<div class='section'>
<h3>Clubs</h3>
<ul class='grid clubs'>
<li class='verified'>
<div class="avatar avatar-club tipsy-enabled image-only avatar-club avatar-md" title="Amp Human"><a class="avatar-content" href="https://www.strava.com/clubs/AmpHuman"><img alt="Amp Human" class="avatar-img" src="https://dgalywyr863hv.cloudfront.net/pictures/clubs/256926/16645849/1/medium.jpg" /></a></div>
<span class="app-icon-wrapper  "><span title="Verified Club" class="app-icon icon-badge-verified icon-sm tipsy-enabled">Verified Club</span></span>
</li>
<li><div class="avatar avatar-club tipsy-enabled image-only avatar-club avatar-md" title="TurboToThailand (Georgy 120)"><a class="avatar-content" href="https://www.strava.com/clubs/715599"><img alt="TurboToThailand (Georgy 120)" class="avatar-img" src="https://dgalywyr863hv.cloudfront.net/pictures/clubs/715599/16282915/1/medium.jpg" /></a></div></li>
<li><div class="avatar avatar-club tipsy-enabled image-only avatar-club avatar-md" title="Point to Pinnacle"><a class="avatar-content" href="https://www.strava.com/clubs/758855"><img alt="Point to Pinnacle" class="avatar-img" src="https://dgalywyr863hv.cloudfront.net/pictures/clubs/758855/17209171/1/medium.jpg" /></a></div></li>
<li class='verified'>
<div class="avatar avatar-club tipsy-enabled image-only avatar-club avatar-md" title="fi&#39;zi:k"><a class="avatar-content" href="https://www.strava.com/clubs/fizikofficial"><img alt="fi&#39;zi:k" class="avatar-img" src="https://dgalywyr863hv.cloudfront.net/pictures/clubs/291691/6537936/1/medium.jpg" /></a></div>
<span class="app-icon-wrapper  "><span title="Verified Club" class="app-icon icon-badge-verified icon-sm tipsy-enabled">Verified Club</span></span>
</li>
</ul>
</div>
<div class='section connections'>
<h3 class='mb-0'>Social Stats</h3>
<ul class='inline-stats'>
<li>
<span class='label static-label'>Following</span>
<a href="/athletes/430673/follows?type=following">238</a>
</li>
<li>
<span class='label static-label'>Followers</span>
<a href="/athletes/430673/follows?type=followers">17846</a>
</li>
</ul>
<div class='athletes-grid'>
</div>
</div>
<div class='section comparison borderless'>
<h3>
Side by Side Comparison
<div class='spinner sm centered' style=''>
      <div class='graphic'></div>
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<div class='hidden'><script id='glossary-template' type='text/template'>
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Relative Effort
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Perceived Exertion
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Energy Output
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Average Power
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<abbr title='Vertical ascent in meters/hour'>VAM</abbr>
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Intensity
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Segments
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All-time Personal Records
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Estimated Best Efforts
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<abbr title='Functional Threshold Power'>FTP</abbr>
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Calculating Your FTP
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Weighted Average Power
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<button class='btn btn-default dt' data-glossary-term='definition-total-work' role='group' type='button'>
Total Work
</button>
<button class='btn btn-default dt' data-glossary-term='definition-intensity' role='group' type='button'>
Intensity
</button>
<button class='btn btn-default dt' data-glossary-term='definition-segment-intensity' role='group' type='button'>
Segment Intensity
</button>
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Training Load
</button>
<button class='btn btn-default dt' data-glossary-term='definition-power-curve' role='group' type='button'>
Power Curve
</button>
<button class='btn btn-default dt' data-glossary-term='definition-power-zones' role='group' type='button'>
Power Zones
</button>
</div>
<div class='main'></div>
</div>
</script>
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<h4>Segment Intensity</h4>
<p>Intensity on Segments gives you a simple visual indication of how hard you went on a given segment by comparing the effort with your best power for the duration of that segment over the last 6 weeks.</p>
<p>For example, if you maintained 300<abbr title='Watts'>W</abbr> for a 10-minute segment and your best 10-minute power over the past 6 weeks was 330W, your segment intensity will be 90%.</p>
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<script id='glossary-definition-ftp-template' type='text/template'>
<h4><abbr title='Functional Threshold Power'>FTP</abbr></h4>
<p>Your Functional Threshold Power (FTP) is the maximum average power that you can hold for one continuous hour. For example, if you were to ride a 40k time trial in 60 minutes at an average power of 275<abbr title='Watts'>W</abbr>, your FTP would be 275W.</p>
<p>FTP is the keystone to training with power. It allows Strava to determine how hard a ride is for you. You doing 300W might feel much different than someone less trained doing 300W and FTP allows us to gauge just how hard segments, rides, and even weeks or months of training were for you!</p>
</script>
<script id='glossary-definition-calculating-ftp-template' type='text/template'>
<h4>Calculating Your FTP</h4>
<p>We recommend you test for your FTP at least every few weeks to a month while you&#39;re training. Here are some tips to get the most out of your FTP testing:</p>
<p>It&#39;s extremely taxing on your body (and your training program) to continuously push out 60-minute max efforts. It&#39;s also difficult to find a stretch of road where you can ride for 60 minutes uninterrupted and maintain a steady wattage. Thus, the easiest way to calculate your FTP is to test your best average power for 20 minutes. We believe 20 minutes is enough time to stress the same physiological systems as a 60-minute effort would and it is easier to consistently do within your season.</p>
<ol>
<li>Try to reproduce the same conditions each test – this means use the same stretch of road or always use the same trainer/rollers</li>
<li>Make sure you are fresh (the previous few days should be light in terms of training load)</li>
<li>Properly warm up</li>
</ol>
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<script id='glossary-definition-weighted-average-power-template' type='text/template'>
<h4>Weighted Average Power</h4>
<p>When you ride with a power meter, you&#39;ll notice how your power jumps all over the place based on the terrain, grade, wind, and other factors. Weighted Average Power looks at all of this variation and provides an average power for your ride that is a better indicator of your effort than simply taking your average power. It is our best guess at your average power if you rode at the exact same wattage the entire ride.</p>
</script>
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<h4>Total Work</h4>
<p>Total Work, expressed in kilojoules (kJ), is simply the sum of the watts generated during your ride. There is a close 1–to–1 ratio with Total Work and Calories expended during a ride.</p>
</script>
<script id='glossary-definition-intensity-template' type='text/template'>
<h4>Intensity</h4>
<p>Intensity is our way of showing how difficult a ride was as compared to your <abbr title ='Functional Threshold Power'>FTP</abbr>. We look at your Weighted Average Power for the ride and compare it to your FTP. If your Weighted Average Power was 250<abbr title='Watts'>W</abbr> and your FTP 300<abbr title='Watts'>W</abbr>, the Intensity would be 83%. It's very possible to have an Intensity of over 100% if the ride was shorter than an hour.</p>
<ul>
<li>Endurance / Recovery Ride – 65% and lower</li>
<li>Moderate Ride – 65-80%</li>
<li>Tempo Ride – 80-95%</li>
<li>Time Trial or Race – 95-105%</li>
<li>Short Time Trial or Race – 105% and higher</li>
</ul>
</script>
<script id='glossary-definition-training-load-template' type='text/template'>
<h4>Training Load</h4>
<p>We calculate Training Load by comparing your power during your ride to your <abbr title='Functional Threshold Power'>FTP</abbr> and determining how much load you put on your body during the workout. Training Load is a great way to determine how much rest you need after your workouts. The guide below will tell you how long after a workout it will take you to fully recover:</p>
<ul>
<li>About 24 hours – 125 and lower</li>
<li>36-48 hours – 125-250</li>
<li>At least 3 days – 250-400</li>
<li>At least 5 days – 400+</li>
</ul>
</script>
<script id='glossary-definition-power-curve-template' type='text/template'>
<h4>Power Curve</h4>
<p>The Power Curve shows your best average power for time periods of 1 second up to the length of your ride. We search your entire ride and find these best efforts and you can compare them with your best efforts for your last 6 weeks, the current year, years in the past, or all-time!</p>
<p>The Power Curve can be displayed in Watts (W) or Watts per Kilogram (W/kg.)</p>
</script>
<script id='glossary-definition-power-zones-template' type='text/template'>
<h4>Power Zones</h4>
<p>While the Power Curve shows your best efforts for given periods of time, Power Zone charts take each 1 second of power of your ride and put it into a bucket. The buckets are based on your <abbr title='Functional Threshold Power'>FTP</abbr> and are as follows:</p>
<ol>
<li>Active Recovery – Social pace with very little physiological effect on your body. Can be used in between intervals and for recovery rides.</li>
<li>Endurance – Easy pace that you could ride “all day long” Conversation is still possible with little concentration required.</li>
<li>Tempo – Brisk pace that can be maintained for a few hours that requires concentration when riding alone. Breathing in tempo is rhythmic and may become strained at the upper end of this zone.</li>
<li>Threshold – Moderate to hard effort and leg fatigue that can be maintained for up to 1 hour. Conversation is difficult and concentration is required.</li>
<li>VO2Max – Power that is primarily taxing your VO2Max system. Leg fatigue is high and conversation is not possible. VO2Max can be maintained for 3-8 minutes.</li>
<li>Anaerobic – Extremely hard efforts with severe leg fatigue that can be maintained for 30 seconds to 3 minutes.</li>
<li>Neuromuscular – Sprinting power that is taxing your neuromuscular system and can be maintained for 1-20 seconds.</li>
</ol>
</script>
<script id='glossary-definition-suffer-score-template' type='text/template'>
<h4>Relative Effort</h4>
<p>Relative Effort is an analysis of your heart rate data. By tracking your heart rate through your workout and its level relative to your maximum heart rate, we attach a value to show exactly how hard you worked. The more time you spend going full gas and the longer your activity, the higher the score. Compare your Relative Effort with friends and pros, see if you can do a truly epic workout and motivate yourself to push that extra bit harder! Relative Effort was inspired by the concept of TRIMP (TRaining IMPulse) coined by Dr. Eric Bannister.</p>
</script>
<script id='glossary-definition-perceived-exertion-template' type='text/template'>
<h4>Perceived Exertion</h4>
<p>Perceived Exertion lets you manually record how intense your efforts feel on a 1-10 scale ranging from “Easy” to “Max Effort.” When tracking how difficult a workout feels overall, Perceived Exertion can stand in for an athlete’s heart rate data. That means Perceived Exertion can power features that otherwise require heart rate data, like Relative Effort and Fitness. Add Perceived Exertion to activities for a layer of qualitative data, or when you happen to forget your heart rate monitor.</p>
</script>
<script id='glossary-definition-energy-output-template' type='text/template'>
<h4>Energy Output</h4>
<p>Energy Output measures the amount of work you&#39;ve done during a ride, expressed in kilojoules (KJ). It is a factor of how much you&#39;re pedaling, how fast you&#39;re pedaling and how much force you&#39;re exerting on the pedals (measured in W). Power output is most accurately taken from a power meter, but if you don&#39;t have a power meter we give a rough approximation through our power estimator.</p>
</script>
<script id='glossary-definition-average-power-template' type='text/template'>
<h4>Average Power</h4>
<p>Average power reflects your average power value during a ride, expressed in Watts (a measure of how much energy you are exerting onto the pedals). This is inclusive of the entire ride, and takes coasting into account as well. Average power is most accurately measured with a power meter, though if you don&#39;t have a power meter we give a rough approximation through our power estimator.</p>
</script>
<script id='glossary-definition-vam-template' type='text/template'>
<h4><abbr title='Vertical ascent in meters/hour'>VAM</abbr></h4>
<p>VAM measures your Vertical Ascent in Meters/hour – it measures how quickly you are traveling upward. VAM is useful for comparing your effort on different hills and segments, and is used by both cyclists and runners. To get a high VAM score, grades between 6-10% generally present the best opportunity to ascend quickly, as they are steep enough to avoid wind, and gradual enough to allow unrestricted motion.</p>
</script>
<script id='glossary-definition-intensity-template' type='text/template'>
<h4>Intensity</h4>
<p>Intensity is a measure that describes running activities on a 10-point scale, with race pace set to 10. The pace used to calculate the intensity takes into account the distance of the run and elevation gained and lost over the run. Now you can instantly gauge how tough your pace is for a run, and see if you&#39;re slowing down enough on your recovery runs.</p>
</script>
<script id='glossary-definition-segment-template' type='text/template'>
<h4>Segments</h4>
<p>A segment is Strava&#39;s term for a specific section of a road, climb or trail. Strava athletes can create segments from their uploaded activities. Strava tracks your performance on each segment every time you run or ride so you can see how you&#39;re progressing over time, and compare your results with other athletes on Strava: your friends, local athletes and even the pros. Start creating segments and see where you land on the leaderboards.</p>
</script>
<script id='glossary-definition-best-efforts-template' type='text/template'>
<h4>Estimated Best Efforts</h4>
<p>Estimated Best Efforts are calculated using your GPS-based running activity. Strava will look at the running activity and identify the fastest rolling-time for benchmark distances. They are considered estimates, because they are subject to normal discrepancies in GPS accuracy.</p>
<p>
How are All-time Personal Records different from Estimated Best Efforts?
</p>
<ul>
<li>All-time Personal Records = a runner&#39;s fastest time ever run over a distance in an official race, or over a verified, known distance</li>
<li>Estimated Best Efforts = training level insight into GPS based activities</li>
</ul>
</script>
<script id='glossary-definition-all-time-prs-template' type='text/template'>
<h4>All-time Personal Records</h4>
<p>All-time Personal Records (PRs) represent a runner&#39;s fastest time ever run for benchmark distances. PRs are manually entered, and can be linked to official race results and Strava activities.</p>
<p>Whether the PR is from a track, road, or trail race, the PR is often verified by a known time over the race distance. We know that PRs matter down to the second, and we know that GPS data isn&#39;t quite as accurate as a time over a verified race course.</p>
<p>How are All-time Personal Records different from Estimated Best Efforts?</p>
<ul>
<li>All-time Personal Records = a runner&#39;s fastest time ever run over a distance in an official race, or over a verified, known distance</li>
<li>Estimated Best Efforts = training level insight into GPS based activities</li>
</ul>
</script>
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    var gridPhotos = new Strava.Models.Photos(gridPhotosJson);
    Strava.ExternalPhotos.PhotoPageManager
      .getInstance()
      .renderGridImages(gridPhotos, 'header-photos');
  });
</script>
<script>
  jQuery(document).ready(function($){
    if ($('.description-content').height() > $('.description-container').height()) {
      $('#athlete-description').addClass('description-overflow');
    }
    $('#toggle-description').on('click', function(e){
      $('#athlete-description').toggleClass('expand-description');
      e.preventDefault();
    });
  });
</script>
<script>
  jQuery(document).ready(function() {
    var currentAthleteId = 342595;
    var trophiesAnalyticsPageType = (430673 === currentAthleteId) ? 'profile_own' : 'profile_other';
    var trophiesAnalyticsProperties = {challenge_id: [[2073,2115]]};
    if (trophiesAnalyticsPageType === 'profile_other') {
      trophiesAnalyticsProperties['other_athlete'] = 430673;
    }
  
    jQuery('.tab.trophy-case').on('click', function(event) {
      Strava.ExternalAnalytics.trackV2({
        category: 'challenges',
        page: trophiesAnalyticsPageType,
        action: 'click',
        properties: trophiesAnalyticsProperties,
        element: 'all_trophies'
      });
    });
  });
</script>
<script>
  jQuery(document).ready(function(){
    new Strava.Feed.ClubJoinButtonView("#Club-291691 .join-button", {
      club_id: 291691
    });
  });
</script>
<script src="https://d3nn82uaxijpm6.cloudfront.net/assets/strava/challenges/manifest-c43b2baf1fd61f3a5a73734c5ec4ddc414cc6a1f5ab7dea991002a82ed0d9045.js"></script>
<script src="https://d3nn82uaxijpm6.cloudfront.net/assets/strava/follows/manifest-18bad5d04fab4f3f3f4c786ea405d27d0e5bafbf07d3fd2f10ad167d13d4a3d0.js"></script>
<script src="https://d3nn82uaxijpm6.cloudfront.net/assets/strava/reports/Factory-0bac028c9eace2fd5cde8f9bc4bf42602ed94fc423c414ba10bd8a30e4061292.js"></script>
<script src="https://d3nn82uaxijpm6.cloudfront.net/assets/strava/reports/Action-5d46cc8dcb92f5b6d11570d958f216108371a3832bfc0072734740cb5e217840.js"></script>
<script>
  function handle_block_actions(elem, parent, selector) {
    var action;
    if (elem.hasClass('suspicious')) {
      action = Strava.Reports.Factory.createSuspiciousMenu(parent.data('athlete-id'), elem.data('category'));
    } else if (elem.hasClass('fake')) {
      action = Strava.Reports.Factory.createFakeMenu(parent.data('athlete-id'), elem.data('category'));
    } else if (elem.hasClass('block')) {
      action = Strava.Follows.Blocks.Factory.createBlockMenu('block', parent.data('athlete-id'), selector);
    } else if (elem.hasClass('removeFollower')) {
      action = Strava.Follows.Blocks.Factory.createBlockMenu('removeFollower', parent.data('athlete-id'), selector);
    } else {
      action = Strava.Follows.Blocks.Factory.createBlockMenu('unblock', parent.data('athlete-id'), selector);
    }
    action.execute(elem);
  };
  
  function initialize_context() {
    var stm_source = "follow-athletes-show";
    var controller = new Strava.Follows.FollowsController("/athletes/342595/follows", 342595, stm_source);
    Strava.Follows.Factory.controller = controller;
    Strava.Follows.Blocks.Factory.controller = controller;
  };
</script>
<script>
  function handle_follows_actions(elem, parent, selector) {
    var state = elem.data('state');
    var action = Strava.Follows.Factory.createAction(state, parent.data('athlete-id'));
    action.use_selector(selector);
    action.execute(elem);
    parent.trigger('followActionChanged')
  }
  
  jQuery(document).ready(function() {
  
    initialize_context();
  
    jQuery(document).on({
      mouseenter: function(){
        $elem = jQuery(this);
        $elem.addClass('alt').text($elem.data('hovertext'));
      },
      mouseleave: function(){
        $elem = jQuery(this);
        $elem.removeClass('alt').text($elem.data('original'));
      }
    }, 'ul.following.list-athletes .unfollow, ul.following.list-athletes .cancel, .follow-action .unfollow, .follow-action .cancel');
  
    function handle_click(elem, parent, selector) {
      if (elem.hasClass('disabled')) return;
      if (elem.hasClass('primary')) {
        handle_follows_actions(elem, parent, selector);
        return false;
      } else if (elem.hasClass('secondary')) {
        handle_block_actions(elem, parent, selector);
      }
    };
  
    jQuery(document).on('click', 'ul.following.list-athletes > li', function(event) {
      var elem = jQuery(event.target);
      var parent = jQuery(this);
      return handle_click(elem, parent, 'ul.following.list-athletes > li');
    });
  
    jQuery(document).on('click', '.follow-action', function(event) {
      var elem = jQuery(event.target);
      var parent = jQuery(this);
      handle_click(elem, parent, '.follow-action');
    });
  });
</script>
<script>
  jQuery(document).ready(function($) {
    var challengeDataObject = function(idString) {
      var idSubStrings = idString.split('-');
      var entityId = parseInt(idSubStrings[2]);
      var rank = parseInt(idSubStrings[3]);
      return { 'rank': rank, 'entityId': entityId }
    };
  
    var snowplowEvent = function(element, rank, challenge_id) {
      Strava.ExternalAnalytics.trackV2({
        category: 'feed',
        page: 'challenge',
        action: 'click',
        element: element,
        properties: {
          rank: rank,
          challenge_id: challenge_id,
          source: 'following'
        }
      });
    };
  
    var dashboardFeed = $($('#dashboard-feed')[0]);
  
    dashboardFeed.on('click', '.challenge-image a', function(){
      var id = $(this).attr('id');
      var challengeData = challengeDataObject(id);
      snowplowEvent('challenge-image', challengeData.rank, challengeData.entityId);
    });
  
    dashboardFeed.on('click', '.challenge-title a', function(){
      var id = $(this).attr('id');
      var challengeData = challengeDataObject(id);
      snowplowEvent('challenge-title', challengeData.rank, challengeData.entityId);
    });
  
    function dateYearsAgo(years) {
      var d = new Date(new Date().toDateString());
      d.setFullYear(d.getFullYear() - parseInt(years));
      return d;
    }
  
    function renderModal(el, data) {
      var dobKey = 'age-gate-dob';
  
      var props = {
        minimumAge: parseInt(data.minimumage),
        joinUrl: el.attr('href'),
        redirectUrl: '/challenges/' + data.challengeid + '#joined',
        joinMethod: data.method,
        currentAthlete: {
          id: data.athleteid,
          dateOfBirth: dashboardFeed.data(dobKey) || data.dateofbirth
        }
      };
  
      var node = $("<div />");
      el.after(node);
  
      function onUpdateDOB(serializedDate) {
        dashboardFeed.data(dobKey, serializedDate);
      }
  
      document.dispatchEvent(
        new CustomEvent('JSCreatedReactNode', {
          detail: {
            node: node,
            component: 'FeedEntryAgeGate',
            props: Object.assign({ onUpdateDOB: onUpdateDOB }, props)
          }
        })
      );
  
      return false;
    }
  
    dashboardFeed.on('click', '.btn-join-challenge', function(e){
      var id = $(this).attr('id');
      var challengeData = challengeDataObject(id);
      snowplowEvent('join', challengeData.rank, challengeData.entityId);
  
      var target = $(e.target);
      var data = target.data();
  
      function disableButton() { $(this).addClass('disabled'); }
  
      if (!data.minimumage) {
        disableButton();
        return;
      }
  
      var youngestDob = data.minimumage && dateYearsAgo(data.minimumage);
  
      if (data.dateofbirth && new Date(data.dateofbirth) <= youngestDob) {
        disableButton();
        return;
      }
  
      renderModal(target, data);
      return false;
    });
  });
</script>
<script id='facebook-open-graph-lightbox-template' type='text/template'>
<header class='modal-header'>
<h3>Share on Facebook</h3>
</header>
<div class='content modal-body'>
<div class='share-container'>
<div class='spinner sm centered' style=''>
      <div class='graphic'></div>
      <span class='status'></span>
    </div>
</div>
</div>
</script>
<script id='facebook-open-graph-lightbox-connect-template' type='text/template'>
<div class='share-container connect-with-facebook text-center'>
<h4>
<% if (type == 'activity') { %>
Sign in to Facebook to share your Strava activity
<% } else if (type == 'challenge' && challenge.isVirtualRace) { %>
Sign in to Facebook to share this virtual race
<% } else if (type == 'challenge') { %>
Sign in to Facebook to share this challenge
<% } else if (type == 'group_event') { %>
Sign in to Facebook to share this club event
<% } else { %>
Sign in to Facebook
<% } %>
</h4>
<button class='btn btn-facebook mb-md fb-button fb-connect fb-connect-js'>
Connect with Facebook
</button>
<p>You can preview your share before posting after completing this step</p>
</div>
</script>
<script id='facebook-request-publish-template' type='text/template'>
<div class='share-container request-publish-permission text-center'>
<h4>
<% if (type == 'activity') { %>
Before sharing your activity, Strava needs your permission to post to Facebook.
<% } else if (type == 'challenge' && challenge.isVirtualRace){ %>
Before sharing this virtual race, Strava needs your permission to post to Facebook.
<% } else if (type == 'challenge'){ %>
Before sharing this challenge, Strava needs your permission to post to Facebook.
<% } else if (type == 'group_event'){ %>
Before sharing this club event, Strava needs your permission to post to Facebook.
<% } else { %>
Strava needs your permission to post to Facebook.
<% } %>
</h4>
<button class='btn btn-facebook mb-md fb-button fb-request-permission-js'>
Continue
</button>
<p>Strava will never post without your consent.</p>
</div>
</script>
<script id='facebook-rejected-publish-template' type='text/template'>
<div class='share-container request-publish-permission text-center'>
<h4>You previously rejected Facebook sharing permissions</h4>
<button class='btn btn-facebook mb-md fb-button fb-request-permission-js'>
Continue
</button>
<p>Strava will never post without your consent.</p>
</div>
</script>
<script id='facebook-open-graph-lightbox-share-template' type='text/template'>
<form class='open-graph-form share-container'>
<div class='row'>
<div class='message-container spans5 col-md-4'>
<div class='form-group'>
<label class='topless'>Message</label>
<textarea class='form-control wide' name='message' placeholder='Tell your friends about this activity.'></textarea>
</div>
</div>
<div class='friends spans5 col-md-4'>
<div class='form-group'>
<label class='topless'>{{ data.also_on_activity_str }}</label>
<div class='friends-on-this-activity'>
<div class='spinner sm centered' style=''>
      <div class='graphic'></div>
      <span class='status'>Loading friends...</span>
    </div>
</div>
</div>
</div>
<div class='preview-container spans6 col-md-4'>
<label class='topless'>Preview</label>
<div class='preview'></div>
</div>
</div>
<div class='control inline-inputs'>
<span>
<button class='btn btn-primary alt post-action'>Share</button>
</span>
<span class='checkbox'>
<label>
<input type="checkbox" name="autoshare" id="autoshare" value="1" />
Automatically share activities in the future
</label>
</span>
</div>
</form>
</script>
<script id='facebook-open-graph-share-friends-template' type='text/template'>
<div class='tag-facebook-friends'></div>
<ul class='strava-friends' style='display: none'></ul>
</script>
<script id='facebook-open-graph-share-preview-normal-privacy-template' type='text/template'>
<ul class='list-stats preview-stats bottomless'>
<li>
<div class='stat'>
<span class='stat-subtext caption'>{-data.distance_unit-}</span>
<b class='stat-text value'>{-data.distance-}</b>
</div>
</li>
<li>
<div class='stat'>
<span class='stat-subtext caption'>{-data.duration_unit-}</span>
<b class='stat-text value'>{-data.duration-}</b>
</div>
</li>
<li>
<div class='stat'>
<span class='stat-subtext caption'>{-data.speed_pace_unit-}</span>
<b class='stat-text value'>{-data.speed_pace-}</b>
</div>
</li>
</ul>
<div class='facebook-share-preview-map'></div>
</script>
<script id='facebook-open-graph-share-preview-no-latlng-stream-template' type='text/template'>
<ul class='list-stats preview-stats bottomless'>
<li>
<div class='stat'>
<span class='stat-subtext caption'>{-data.distance_unit-}</span>
<b class='stat-text value'>{-data.distance-}</b>
</div>
</li>
<li>
<div class='stat'>
<span class='stat-subtext caption'>{-data.duration_unit-}</span>
<b class='stat-text value'>{-data.duration-}</b>
</div>
</li>
<li>
<div class='stat'>
<span class='stat-subtext caption'>{-data.speed_pace_unit-}</span>
<b class='stat-text value'>{-data.speed_pace-}</b>
</div>
</li>
</ul>
<div class='facebook-share-no-preview'>
A map of your activity will not be shared on Facebook because it does not have position coordinates.
</div>
</script>
<script id='facebook-open-graph-pending-share' type='text/template'>
<div class='status-message'>
<div class='alert-message pending'>
Sharing on Facebook
&hellip;
</div>
</div>
</script>
<script id='facebook-open-graph-share-success' type='text/template'>
<div class='status-message'>
<div class='alert alert-success alert-message success'>
Successfully shared!
</div>
</div>
</script>
<script id='facebook-open-graph-share-failure' type='text/template'>
<div class='status-message'>
<div class='alert alert-danger alert-message error'>
Looks like something went wrong. Please try again.
</div>
</div>
</script>
<script id='share-success-template' type='text/template'>
<div class='status-message'>
<div class='alert alert-success alert-message success'>
{{ successMessage }}
</div>
</div>
</script>
<script id='share-failure-template' type='text/template'>
<div class='status-message'>
<div class='alert alert-danger alert-message error'>
{{ message }}
</div>
</div>
</script>
<script id='tabbed-share-lightbox' type='text/template'>
<header class='modal-header'>
<h3>{{header}}</h3>
</header>
<div class='content' style='display: none'>
<div class='main share-area container-fluid'></div>
<ul class='tabs tabs-inset' id='share-tabs'>
<li id='invite-tab'>
<span class='tab'>
<div class='app-icon icon-strava icon-sm icon-dark'></div>
Invite Strava Friends
</span>
</li>
</ul>
<div class='tab-contents' id='share-tab-contents'></div>
</div>
<div class='centered' id='spinner'><div class='spinner sm centered' style=''>
      <div class='graphic'></div>
      <span class='status'></span>
    </div></div>
</script>
<script id='facebook-share-tab' type='text/template'>
<div class='content'>
<div class='share-container'>
<div class='spinner sm centered' style=''>
      <div class='graphic'></div>
      <span class='status'></span>
    </div>
</div>
</div>
</script>
<script id='facebook-simple-share-template' type='text/template'>
<form class='facebook-message'>
<div class='avatar avatar-athlete'>
<div class='avatar-content'>
<img class='avatar-img' id='fb-avatar-img'>
</div>
</div>
<div class='form-group message-container'>
<textarea class='form-control input-block' id='message'>{{ facebook.message }}</textarea>
</div>
<div class='form-actions'>
<button class='btn btn-facebook alt post-action' id='share-fb'>
Post
</button>
</div>
</form>
</script>
<script id='facebook-message-template' type='text/template'>
<div class='row'>
<div class='spans8'>
<div class='invite-facebook-friends'>
<h3>Invite Facebook Friends to this club</h3>
<input class='facebook-friend-autocomplete' type='text'>
</div>
</div>
<div class='spans8'>
<ul class='facebook-friends'></ul>
</div>
</div>
</script>
<script id='friend-template' type='text/template'>
<div class='avatar avatar-athlete'>
<div class='avatar-content'>
<img class='avatar-img profile-picture' height='40' src='{{ data.picture }}' width='40'>
<div class='avatar-body'>
<div class='avatar-primary name'>
{{ data.first_name }} {{ data.last_name }}
<img class="private-athlete" style="display: none" src="https://d3nn82uaxijpm6.cloudfront.net/assets/common/img-locked-ac90a57829f0f90818b29de9b15ce2f1aca8f2c4c812e76ec6e35393cccc74af.png" />
</div>
</div>
</div>
</div>
<button class='btn btn-default invite btn-xs' data-facebook_uid='{{ data.facebook_uid }}'>
{{ data.call_to_action }}
</button>
</script>
<script id='friends-share-tab' type='text/template'>
<div class='form-group'>
<label for='strava-athletes'>
To:
</label>
<input class='strava-athletes' data-placeholder='Enter Strava athlete names separated by commas' name='strava-athletes' type='hidden'>
</div>
<div class='form-group'>
<label>Message:</label>
<blockquote class='set-message mb-md'>{{ invite_friends.message }}</blockquote>
</div>
<div class='form-actions'>
<input class='button btn btn-primary' disabled id='invite_on_strava' type='button' value='Invite'>
<span class='loading-spinner' style='display: none'>
<div class='spinner sm centered' style=''>
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      <span class='status'></span>
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    commentsController.setHash({"Activity-4407563011":[],"AthleteFeedEntry-432480489":[],"AthleteFeedEntry-432480490":[],"Activity-4404163137":[{"comment_id":876293304,"deletable":false,"reportable":true,"quarantinable":false,"comment":[{"type":"raw_token","text":"Welcome back to the US.  Going down to Daytona next week?"}],"timestamp":"\u003ctime class=\"timeago\" datetime=\"2020-11-28T21:55:42Z\"\u003eNovember 28, 2020\u003c/time\u003e","athlete":{"id":10774705,"url":"/athletes/10774705","name":"Micah Cohen","firstname":"Micah","athlete_name":"Micah Cohen","short_name":"Micah C.","avatar_url":"https://dgalywyr863hv.cloudfront.net/pictures/athletes/10774705/10593746/1/medium.jpg","member_type":"premium"}},{"comment_id":876333552,"deletable":false,"reportable":true,"quarantinable":false,"comment":[{"type":"mention_token","text":"Cameron Wurf","path":"/athletes/430673","athlete_id":430673},{"type":"raw_token","text":" if the sun's out, something else is usually out 👙"}],"timestamp":"\u003ctime class=\"timeago\" datetime=\"2020-11-28T23:01:50Z\"\u003eNovember 28, 2020\u003c/time\u003e","athlete":{"id":1590615,"url":"/athletes/1590615","name":"Safehands Groo (3PCC 🇳🇷)","firstname":"Safehands","athlete_name":"Safehands Groo (3PCC 🇳🇷)","short_name":"Safehands G.","avatar_url":"https://dgalywyr863hv.cloudfront.net/pictures/athletes/1590615/6219694/9/medium.jpg","member_type":""}},{"comment_id":876412825,"deletable":false,"reportable":true,"quarantinable":false,"comment":[{"type":"raw_token","text":"I find it so cool that you are in my state- I wondered if you would be trying the Savageman course. It is on my radar for racing at SOME point. Welcome and enjoy Maryland! "}],"timestamp":"\u003ctime class=\"timeago\" datetime=\"2020-11-29T02:05:51Z\"\u003eNovember 29, 2020\u003c/time\u003e","athlete":{"id":9715389,"url":"/athletes/9715389","name":"Michelle Lawrence","firstname":"Michelle","athlete_name":"Michelle Lawrence","short_name":"Michelle L.","avatar_url":"https://dgalywyr863hv.cloudfront.net/pictures/athletes/9715389/3396215/3/medium.jpg","member_type":""}},{"comment_id":876414815,"deletable":false,"reportable":true,"quarantinable":false,"comment":[{"type":"raw_token","text":"Bro you look 10 years older after joining Team Ineos what happened 😂"}],"timestamp":"\u003ctime class=\"timeago\" datetime=\"2020-11-29T02:11:16Z\"\u003eNovember 29, 2020\u003c/time\u003e","athlete":{"id":33680676,"url":"/athletes/33680676","name":"Ken C","firstname":"Ken","athlete_name":"Ken C","short_name":"Ken C.","avatar_url":"https://dgalywyr863hv.cloudfront.net/pictures/athletes/33680676/10675134/22/medium.jpg","member_type":""}},{"comment_id":876421464,"deletable":false,"reportable":true,"quarantinable":false,"comment":[{"type":"mention_token","text":"Ken C","path":"/athletes/33680676","athlete_id":33680676},{"type":"raw_token","text":" try 20 since to arrival of our first kid 🙄"}],"timestamp":"\u003ctime class=\"timeago\" datetime=\"2020-11-29T02:29:47Z\"\u003eNovember 29, 2020\u003c/time\u003e","athlete":{"id":430673,"url":"/athletes/430673","name":"Cameron Wurf","firstname":"Cameron","athlete_name":"Cameron Wurf","short_name":"Cameron W.","avatar_url":"https://dgalywyr863hv.cloudfront.net/pictures/athletes/430673/5641391/3/medium.jpg","member_type":"premium"}},{"comment_id":876424873,"deletable":false,"reportable":true,"quarantinable":false,"comment":[{"type":"raw_token","text":"All the best in Daytona Mr Wurf, say hi to L Sanders as you give him a lesson in riding , may have been blowing his trumpet too much lately . Stick it to him !!!"}],"timestamp":"\u003ctime class=\"timeago\" datetime=\"2020-11-29T02:39:48Z\"\u003eNovember 29, 2020\u003c/time\u003e","athlete":{"id":7334183,"url":"/athletes/7334183","name":"Cameron Roper","firstname":"Cameron","athlete_name":"Cameron Roper","short_name":"Cameron R.","avatar_url":"https://dgalywyr863hv.cloudfront.net/pictures/athletes/7334183/3884621/1/medium.jpg","member_type":""}},{"comment_id":876431928,"deletable":false,"reportable":true,"quarantinable":false,"comment":[{"type":"mention_token","text":"Cameron Roper","path":"/athletes/7334183","athlete_id":7334183},{"type":"raw_token","text":" I won’t be there, I’ll get back into IM next year... The “bubble” system at the races hasn’t allowed me to swim very much for quite a few months, I need to swim a lot to be average, if I don’t swim at all i sink!"}],"timestamp":"\u003ctime class=\"timeago\" datetime=\"2020-11-29T03:01:09Z\"\u003eNovember 29, 2020\u003c/time\u003e","athlete":{"id":430673,"url":"/athletes/430673","name":"Cameron Wurf","firstname":"Cameron","athlete_name":"Cameron Wurf","short_name":"Cameron W.","avatar_url":"https://dgalywyr863hv.cloudfront.net/pictures/athletes/430673/5641391/3/medium.jpg","member_type":"premium"}},{"comment_id":876440619,"deletable":false,"reportable":true,"quarantinable":false,"comment":[{"type":"mention_token","text":"Cameron Wurf","path":"/athletes/430673","athlete_id":430673},{"type":"raw_token","text":" kids only make you Faster 👊🏻 so they say 🤣"}],"timestamp":"\u003ctime class=\"timeago\" datetime=\"2020-11-29T03:28:32Z\"\u003eNovember 29, 2020\u003c/time\u003e","athlete":{"id":33680676,"url":"/athletes/33680676","name":"Ken C","firstname":"Ken","athlete_name":"Ken C","short_name":"Ken C.","avatar_url":"https://dgalywyr863hv.cloudfront.net/pictures/athletes/33680676/10675134/22/medium.jpg","member_type":""}},{"comment_id":876441084,"deletable":false,"reportable":true,"quarantinable":false,"comment":[{"type":"raw_token","text":"🥶 cold part of the states this time of season"}],"timestamp":"\u003ctime class=\"timeago\" datetime=\"2020-11-29T03:30:06Z\"\u003eNovember 29, 2020\u003c/time\u003e","athlete":{"id":4987883,"url":"/athletes/4987883","name":"Jason Brooks","firstname":"Jason","athlete_name":"Jason Brooks","short_name":"Jason B.","avatar_url":"https://dgalywyr863hv.cloudfront.net/pictures/athletes/4987883/1559323/5/medium.jpg","member_type":"premium"}},{"comment_id":876477966,"deletable":false,"reportable":true,"quarantinable":false,"comment":[{"type":"raw_token","text":"Hi Cameron, had a couple of great days with Tony in Hobart. 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<script>
  jQuery(document).ready(function($) {
    new Strava.GlobalSearch.SearchFieldController(currentAthlete);
  });
</script>
<script>
  // Mobile Menu transition handler
  jQuery('.collapsable-nav #container-nav')
    .on('show.bs.collapse', function(){
      jQuery('.smartbanner-content').slideUp(100);
      jQuery('html').addClass('mobile-menu-open');
    })
    .on('hidden.bs.collapse', function(){
      jQuery('.smartbanner-content').slideDown(100);
      jQuery('html').removeClass('mobile-menu-open');
    });
</script>
<script>
  // Dismiss function for alert messages
  jQuery('document').ready(function(){
    var dismissController = new Strava.Util.DismissController("/dashboard/dismiss_ui");
    jQuery('.alert-message').on('click', '.dismiss', function(){
      dismissController.dismiss("");
      jQuery(this).parents('.alert-message').slideUp('fast');
    });
  });
</script>
<script>
  jQuery(document).ready(function() {
    new Strava.Util.DropDownMenu('.drop-down-menu')
    jQuery('.language-pick').each(function(index) {
      jQuery( this ).click(function() {
        language = jQuery( this ).attr('language-code');
        expiration = new Date();
        expiration.setTime(expiration.getTime() + (1825 * 24 * 60 * 60 * 1000));
        // Reset any previously set cookie for this page
        document.cookie = 'ui_language= ; expires=Thu, 01 Jan 1970 00:00:01 GMT;'
        // Set a global cookie
        document.cookie = 'ui_language=' + language + '; expires=' + expiration + '; path=/';
        location.reload(true);
      });
    });
  });
</script>
<script>
  jQuery(document).ready(function() {
    jQuery('#explore-strava, #challenge-list-view, .promo-simple, .promo-fancy, .promo-overlay, .sponsor-link-section, .sponsor').on('click', 'a', function(event) {
      var link = jQuery(event.target).closest('a');
      var adzerkClickUri = link.data('adzerk-click-uri');
      if (adzerkClickUri != null) {
        jQuery.get(adzerkClickUri); // this is fire-and-forget - we don't need to wait for a successful response from Adzerk
      }
    });
  });
</script>

<script src="https://d3nn82uaxijpm6.cloudfront.net/assets/strava/notifications/drop_down/manifest-075acd063186585f92edd9e56d4e329e7e2d8fbb2d25a9eac237a61a1873cc40.js"></script>
<script>
  jQuery(function($) {
    var mark_all_read_notifications_path = "/notifications/mark_all_read";
    var controller = new Strava.Notifications.DropDown.MarkAllReadController(mark_all_read_notifications_path);
    var view = new Strava.Notifications.DropDown.View(controller);
  })
</script>
<script src='https://apis.google.com/js/client.js' type='text/javascript'></script>

<script src="https://d3nn82uaxijpm6.cloudfront.net/assets/strava/invites/manifest-40822ff9267b9be03a13810859a3055831859abdd614e1222fb9d1615325c8c8.js"></script>
<script>
  Strava.Google.CI = "541588808765.apps.googleusercontent.com";
  
  jQuery(document).ready(function() {
    inviteController = new Strava.Invites.InviteController(
      {
        athlete_id: 342595,
        athlete_first_name: 'Alan',
        athlete_url: 'https://www.strava.com/athletes/342595',
        strava_logo_url: 'https://d3nn82uaxijpm6.cloudfront.net/assets/common/strava-logo-62b5d3764a6fa7a282bb2537b2a9619ba6b3fcb0ef5fcb0a431c98c003717b29.png',
        invite_link: 'https://www.strava.com/?utm_content=342595&amp;utm_medium=facebook&amp;utm_source=member_referral'
      });
  
    inviteView = new Strava.Invites.InviteButtonView(inviteController, '.find-and-invite');
  
    if (window.location.hash === '#invite') {
      Strava.Invites.InviteLightboxView.show(inviteController);
    }
  
    jQuery('.drop-down-menu li').on('click', function() {
      const $this = jQuery(this);
      const element = $this.data('logElement');
      if (element) {
        const category = $this.closest('.drop-down-menu').data('logCategory');
        const page = $this.closest('.drop-down-menu').data('logPage');
        Strava.ExternalAnalytics.trackV2({
          category: category,
          page: page,
          action: 'click',
          element: element
        });
      }
    });
  });
</script>

<script>
  jQuery(document).ready(function(){
    if (!Backbone.History.started) {
      if (Modernizr.history) {
        Backbone.history.start({ pushState: true, silent: false });
      } else {
        Backbone.history.start({ pushState: false, silent: false, hashChange: false });
      };
    }
  });
</script>
</body>
</html>

Here we've used a GET request to again access the athlete data, only this time we added some parameters, specifically "interval?interval=201922&interval_type=week&chart_type=miles&year_offset=0". This will pull each week of training from the last 365 days ("offset = 0").

We can then roll through the html that this gives us and search for any text that starts with "activity_id" (assuming that an activity id number will follow). If you do a ctrl-f for 'activity_id' in the response above, you'll find it occurs ~170 times in the html - one for each activity during that time period.

I have a funny feeling that we might use this code again in the future ;-), so let's wrap it in a function...

A word of warning, if you're running the below cell, it might take a while as it is looping through every single letter in the html to see if that letter and the preceding letters match our target text ('activity_id'). There are more efficient ways to do it but in the interests of simplicity, it will get the job done...eventually :-)

In [9]:
def get_location_of_string_in_response_text(string, response):
  activity_indices = [i for i in range(len(response.text)) if response.text.startswith(string, i)]
  return activity_indices

activity_indices = get_location_of_string_in_response_text('activity_id', response)
print(activity_indices)
[54955, 55812, 56798, 57663, 58528, 59393, 60250, 61113, 61957, 62813, 63691, 64543, 65420, 66271, 67209, 68057, 68997, 69852, 70718, 71570, 72432, 73288, 74142, 75012, 75868, 76725, 77601, 78499, 79356, 80216, 81104, 82001, 82901, 83801, 84661, 85563, 86434, 87285, 88164, 89033, 89930, 90820, 91725, 92603, 93488, 94365, 95258, 96134, 97044, 97926, 98822, 99709, 100577, 101483, 102385, 103290, 104172, 105038, 105921, 106828, 107759, 108681, 109574, 110470, 111378, 112295, 113166, 114027, 114908, 115807, 116715, 117647, 118519, 119385, 120331, 121288, 122130, 123008, 123896, 124751, 125616, 126476, 127347, 128216, 129114, 130000, 130876, 131770, 132641, 133558, 134486, 135413, 136330, 137201, 138112, 138983, 139923, 140827, 141722, 142630, 183006, 207341, 267647, 268504, 269490, 270355, 271220, 272085, 313400, 313628, 313845, 314074, 314328, 314561, 314789, 315014, 315242, 315480, 315708, 315966, 316190, 316565, 316794, 317074, 317306, 317555, 317804, 318051, 318340, 318568, 318785, 319062, 319278, 319484, 319713, 319967, 320199, 320449, 320687, 320924, 321156, 321421, 321666, 321940, 322168, 322393, 322627, 322847]

So, in the above we used the list comprehension that I introduced in the last blog to build a function that will roll through each character in response.text and it looks for any combination of characters that starts with 'activity_id'. The .startswith function takes (the value of the string we're searching for, the start point in the big string) When it finds a spot in the text that starts with activity id, it adds the location of that spot to a list (e.g. 54955 means we will find the words 'activity_id' at character number 54955 in the html response. We'll find another at character number 55812 etc...) Then it returns this list so that we can go to each spot in the list and look for the actual activity id number in the next function...

In [10]:
def get_activity_ids(response, activity_indices):
  activity_ids = []
  for activity in activity_indices:
    if response.text[activity+13:activity+23] not in activity_ids:
      activity_ids.append(response.text[activity+13:activity+23])
  return activity_ids

activity_ids = get_activity_ids(response, activity_indices)
print(activity_ids)
['4404163137', '4393160435', '4350568178', '4194465500', '4193564883', '4186371565', '4181970551', '4180954755', '4177448740', '4170759432', '4166767502', '4150875276', '4144446577', '4132840040', '4123442691', '4119317007', '4115890464', '4104914453', '4102670218', '4101555805', '4096538318', '4092793988', '4083707689', '4082380387', '4076333734', '4068311669', '4062556172', '4055835490', '4054185481', '4050017892', '4030837539', '4030056003', '4025084801', '4015317499', '4010036557', '4005389588', '4000666729', '3996108842', '3982381924', '3963500751', '3950250721', '3931313082', '3926624535', '3911225898', '3911661750', '3898342356', '3887955019', '3887212496', '3881847180', '3878319028', '3873210360', '3868916510', '3863389652', '3854546790', '3853436776', '3842501262', '3838021893', '3833612627', '3831365317', '3816601210', '3815358277', '3811095415', '3808498026', '3808518901', '3796001560', '3787323368', '3786133046', '3784298992', '3775355687', '3769711860', '3767167410', '3752792722', '3751703615', '3747415156', '3740265486', '3737645237', '3736117332', '3730313479', '3726172650', '3718651386', '3716923663', '3712144706', '3708402893', '3706518797', '4390495788', '4385737177']

In this function we pass the function the html response along with a list of the position of all of the 'athlete_id' instances above. It then goes to each of those spots that we identified in the last function and we look for a 10 digit number going from 13 characters ahead of the start of 'activity_id' to 23 characters (since all activity id numbers are 10 digits). We add each of these 10 digit identifiers to a list that we can then pass to our good old /activity endpoint to get the workout specifics in the next function..

In [14]:
def get_power_stats_from_each_activity(activity_ids):
  power_stats = []
  activities_with_power = []
  for i in range(len(activity_ids)):
    url = f"https://www.strava.com/activities/{activity_ids[i]}/power_data"
    response = session.get(url)
    if (response.text not in power_stats) and (len(response.text)>1):
      stats_dictionary = json.loads(response.text)
      stats_dictionary['activity_id'] = activity_ids[i]
      power_stats.append(stats_dictionary)
  return power_stats

power_stats = get_power_stats_from_each_activity(activity_ids)
for stat in power_stats:
  print(stat)
{'weighted_power': 256, 'training_load': 141, 'max_watts': 969, 'relative_intensity': 63, 'cp_data': [[1238, 1238, 969], [1237, 1238, 937], [1238, 1240, 934], [1237, 1240, 927], [1235, 1239, 911], [1235, 1240, 915], [1235, 1241, 899], [1237, 1244, 890], [1238, 1246, 890], [1237, 1246, 892], [1237, 1247, 892], [1235, 1246, 891], [1235, 1247, 892], [1235, 1248, 887], [1234, 1248, 879], [1235, 1250, 871], [1235, 1251, 869], [1235, 1252, 868], [1235, 1253, 864], [1234, 1253, 859], [1234, 1254, 854], [1234, 1255, 847], [1235, 1257, 842], [1234, 1257, 839], [1235, 1259, 837], [1234, 1259, 834], [1234, 1260, 830], [1234, 1261, 823], [1234, 1262, 818], [1234, 1263, 816], [1235, 1265, 814], [1234, 1265, 813], [1235, 1267, 810], [1234, 1267, 809], [1234, 1268, 807], [1235, 1270, 805], [1235, 1271, 804], [1234, 1271, 803], [1234, 1272, 802], [1234, 1273, 801], [1234, 1274, 797], [1234, 1275, 796], [1235, 1277, 795], [1235, 1278, 795], [1235, 1279, 794], [1234, 1279, 794], [1234, 1280, 792], [1234, 1281, 790], [1234, 1282, 789], [1234, 1283, 786], [1233, 1283, 783], [1234, 1285, 782], [1234, 1286, 782], [1234, 1287, 779], [1234, 1288, 776], [1234, 1289, 776], [1234, 1290, 776], [1234, 1291, 773], [1233, 1291, 771], [1232, 1291, 767], [1231, 1291, 762], [1231, 1292, 758], [1230, 1292, 750], [1230, 1293, 742], [1228, 1292, 734], [1227, 1292, 729], [1226, 1292, 723], [1226, 1293, 716], [1226, 1294, 707], [1223, 1292, 698], [1222, 1292, 692], [1222, 1293, 685], [1221, 1293, 678], [1219, 1292, 671], [1218, 1292, 665], [1217, 1292, 660], [1216, 1292, 656], [1215, 1292, 651], [1214, 1292, 647], [1214, 1293, 642], [1213, 1293, 636], [1212, 1293, 631], [1211, 1293, 625], [1210, 1293, 619], [1209, 1293, 614], [1208, 1293, 608], [1207, 1293, 603], [1206, 1293, 597], [1205, 1293, 591], [1204, 1293, 586], [1203, 1293, 581], [1202, 1293, 576], [1200, 1292, 572], [1199, 1292, 569], [1199, 1293, 565], [1198, 1293, 561], [1197, 1293, 557], [1196, 1293, 553], [1195, 1293, 548], [1194, 1293, 545], [1193, 1293, 541], [1226, 1327, 537], [1226, 1328, 534], [1226, 1329, 531], [1226, 1330, 528], [1226, 1331, 526], [1226, 1332, 523], [1226, 1333, 521], [1226, 1334, 518], [1226, 1335, 516], [1226, 1336, 514], [1226, 1337, 511], [1226, 1338, 509], [1226, 1339, 507], [1226, 1340, 505], [1226, 1341, 503], [1226, 1342, 501], [1226, 1343, 498], [1226, 1344, 496], [1226, 1345, 493], [1226, 1346, 491], [1226, 1347, 489], [1226, 1348, 487], [1226, 1349, 485], [1226, 1350, 483], [1226, 1351, 480], [1214, 1340, 478], [1214, 1341, 477], [1214, 1342, 475], [1213, 1342, 473], [1213, 1343, 471], [1214, 1345, 468], [1213, 1345, 466], [1213, 1346, 465], [1214, 1348, 463], [1214, 1349, 461], [1214, 1350, 459], [1213, 1350, 458], [1213, 1351, 456], [1213, 1352, 454], [1213, 1353, 452], [1213, 1354, 450], [1213, 1355, 448], [1213, 1356, 446], [1213, 1357, 445], [1213, 1358, 443], [1212, 1358, 441], [1211, 1358, 439], [1210, 1358, 437], [1209, 1358, 435], [1208, 1358, 433], [1207, 1358, 431], [1206, 1358, 429], [1206, 1359, 427], [1198, 1352, 425], [1198, 1353, 424], [1198, 1354, 422], [1198, 1355, 421], [1198, 1356, 419], [1198, 1357, 418], [1198, 1358, 416], [1197, 1358, 415], [1196, 1358, 413], [1195, 1358, 411], [1194, 1358, 410], [1193, 1358, 408], [1192, 1358, 406], [1191, 1358, 405], [1190, 1358, 403], [1189, 1358, 402], [1188, 1358, 400], [1188, 1359, 398], [1187, 1359, 397], [1185, 1358, 395], [1185, 1359, 393], [1183, 1358, 392], [1116, 1292, 390], [1115, 1292, 389], [1114, 1292, 389], [1113, 1292, 388], [1113, 1293, 387], [1112, 1293, 386], [1111, 1293, 385], [1110, 1293, 383], [1108, 1292, 382], [1107, 1292, 382], [1106, 1292, 382], [1105, 1292, 381], [1104, 1292, 380], [1104, 1293, 379], [1103, 1293, 378], [1102, 1293, 377], [1101, 1293, 376], [1100, 1293, 374], [1099, 1293, 373], [1097, 1292, 372], [1096, 1292, 372], [1095, 1292, 372], [1094, 1292, 371], [1093, 1292, 370], [1093, 1293, 370], [1092, 1293, 369], [1091, 1293, 368], [1090, 1293, 367], [1089, 1293, 366], [1088, 1293, 365], [1087, 1293, 364], [1086, 1293, 362], [1086, 1294, 361], [1085, 1294, 360], [1084, 1294, 358], [1082, 1293, 357], [1081, 1293, 356], [1128, 1341, 355], [1127, 1341, 355], [1126, 1341, 354], [1125, 1341, 354], [1125, 1342, 353], [1124, 1342, 353], [1123, 1342, 352], [1123, 1343, 351], [1114, 1335, 351], [1114, 1336, 350], [1115, 1338, 350], [1114, 1338, 350], [1114, 1339, 349], [1114, 1340, 349], [1114, 1341, 349], [1114, 1342, 348], [1113, 1342, 348], [1112, 1342, 347], [1112, 1343, 346], [1113, 1345, 346], [1113, 1346, 345], [1106, 1340, 345], [1106, 1341, 344], [1105, 1341, 344], [1105, 1342, 344], [1104, 1342, 343], [1104, 1343, 342], [1104, 1344, 342], [1104, 1345, 341], [1104, 1346, 341], [1105, 1348, 340], [1105, 1349, 340], [1104, 1349, 339], [1104, 1350, 339], [1104, 1351, 338], [1103, 1351, 338], [1104, 1353, 337], [1104, 1354, 336], [1104, 1355, 336], [1104, 1356, 335], [1039, 1292, 335], [1038, 1292, 336], [1037, 1292, 336], [1036, 1292, 336], [1035, 1292, 336], [1034, 1292, 336], [1033, 1292, 337], [1032, 1292, 337], [1031, 1292, 337], [1030, 1292, 337], [1029, 1292, 338], [1028, 1292, 338], [1027, 1292, 338], [1026, 1292, 339], [1025, 1292, 339], [1024, 1292, 339], [1023, 1292, 339], [1022, 1292, 340], [1021, 1292, 340], [1020, 1292, 340], [1019, 1292, 340], [1018, 1292, 340], [1017, 1292, 340], [1016, 1292, 340], [1016, 1293, 340], [1014, 1292, 339], [1013, 1292, 339], [1012, 1292, 339], [1011, 1292, 339], [1010, 1292, 339], [1009, 1292, 339], [1009, 1293, 338], [1008, 1293, 338], [1007, 1293, 337], [1006, 1293, 336], [1004, 1292, 336], [1003, 1292, 336], [1002, 1292, 336], [1001, 1292, 335], [1001, 1293, 335], [1000, 1293, 334], [998, 1292, 334], [998, 1293, 334], [997, 1293, 333], [996, 1293, 333], [996, 1294, 332], [994, 1293, 331], [989, 1293, 329], [983, 1292, 327], [978, 1292, 328], [973, 1292, 329], [968, 1292, 329], [964, 1293, 327], [959, 1293, 324], [953, 1292, 323], [949, 1293, 323], [943, 1292, 322], [939, 1293, 319], [933, 1292, 319], [929, 1293, 317], [5837, 6206, 315], [5832, 6206, 315], [5828, 6207, 315], [5827, 6211, 315], [5827, 6216, 315], [5828, 6222, 315], [5770, 6169, 316], [5765, 6169, 316], [5761, 6170, 316], [5761, 6175, 316], [5761, 6180, 316], [5741, 6165, 316], [5741, 6170, 316], [5741, 6175, 316], [5740, 6179, 316], [5740, 6184, 316], [5738, 6187, 316], [5761, 6215, 315], [5741, 6200, 315], [5742, 6206, 315], [5740, 6209, 315], [5741, 6215, 315], [5741, 6220, 315], [5740, 6224, 315], [5740, 6229, 315], [5740, 6234, 315], [5739, 6238, 314], [5738, 6242, 314], [5738, 6247, 312], [5704, 6206, 311], [5699, 6206, 311], [5699, 6211, 311], [5699, 6216, 311], [5700, 6222, 311], [5699, 6226, 311], [5699, 6231, 311], [5698, 6235, 311], [5698, 6240, 310], [5658, 6205, 310], [5654, 6206, 310], [5650, 6207, 310], [5595, 6157, 311], [5595, 6162, 311], [5594, 6166, 312], [5594, 6171, 312], [5594, 6176, 312], [5594, 6181, 312], [5594, 6186, 312], [5594, 6191, 311], [5594, 6196, 311], [5594, 6201, 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As you can see, with the above function, we loop through each activity number in the list that we built above, we pass it to the activities/activity_id/power_data endpoint and it returns the power data from each of these rides.

If the activity doesn't already exist in our list (we don't want duplicates) and if the length of the power data is greater than 1 character (we don't want to include activities without any power data), we use the json.loads function that I introduced above to convert each of the json responses into a dictionary. We then add another item to that dictionary: We add the 'activity_id':value pair so that we can reference any of these workouts by their id if we need to in the future.

You'll note the method for adding to a dictionary above. Any time you have a new item that you want to add to a dictionary, you just reference it as follows (expanding on our first example of first_name, last_name, age) if we wanted to add weight, it's as easy as...

my_dictionary['weight'] = 174

Now, it would be handy if, in addition to getting the power stats from each ride, we also got the date of the ride so we can see how Cam's fitness is progressing over time. The date doesn't come through in the power_data call above but, as I like to say, when you know how to code, there's always a workaround! :-) In this case, if we pass the activity id in our dictionary to the activities endpoint e.g. activities/123456789, it will return a html response that has the time and date of the session in it, conveniently inside html tags called <time>. We can use our good old friend Beautiful Soup to, again, parse the html and return the time and date of the ride. E.g.

In [15]:
def find_date_of_workout(activity_id):
  response = session.get(f"https://www.strava.com/activities/{activity_id}")
  soup = BeautifulSoup(response.text, features="lxml")
  workout_date = soup.find('time').getText()
  return workout_date

find_date_of_workout('4404163137')
Out[15]:
'\n12:49 PM on Saturday, November 28, 2020\n'

So, in the above we use beuatiful soup to find the <time> tags and return the text in between with the getText method. Almost perfect, except we have a new line character '\n' messing things up. Let's modify our function to strip that.

In [16]:
def find_date_of_workout(activity_id):
  response = session.get(f"https://www.strava.com/activities/{activity_id}")
  soup = BeautifulSoup(response.text, features="lxml")
  workout_date = soup.find('time').getText()
  workout_date = workout_date.strip('\n')
  return workout_date

find_date_of_workout('4404163137')
Out[16]:
'12:49 PM on Saturday, November 28, 2020'

Perfect! The strip function removes the characters that we pass (along with any leading or trailing whitespace) from our string of text. And now, to add the day and time for every workout in our list by appending it to our power_data dictionary...

In [17]:
for workout in power_stats:
  date = find_date_of_workout(workout['activity_id'])
  workout['date'] = date
print(power_stats)
[{'weighted_power': 256, 'training_load': 141, 'max_watts': 969, 'relative_intensity': 63, 'cp_data': [[1238, 1238, 969], [1237, 1238, 937], [1238, 1240, 934], [1237, 1240, 927], [1235, 1239, 911], [1235, 1240, 915], [1235, 1241, 899], [1237, 1244, 890], [1238, 1246, 890], [1237, 1246, 892], [1237, 1247, 892], [1235, 1246, 891], [1235, 1247, 892], [1235, 1248, 887], [1234, 1248, 879], [1235, 1250, 871], [1235, 1251, 869], [1235, 1252, 868], [1235, 1253, 864], [1234, 1253, 859], [1234, 1254, 854], [1234, 1255, 847], [1235, 1257, 842], [1234, 1257, 839], [1235, 1259, 837], [1234, 1259, 834], [1234, 1260, 830], [1234, 1261, 823], [1234, 1262, 818], [1234, 1263, 816], [1235, 1265, 814], [1234, 1265, 813], [1235, 1267, 810], [1234, 1267, 809], [1234, 1268, 807], [1235, 1270, 805], [1235, 1271, 804], [1234, 1271, 803], [1234, 1272, 802], [1234, 1273, 801], [1234, 1274, 797], [1234, 1275, 796], [1235, 1277, 795], [1235, 1278, 795], [1235, 1279, 794], [1234, 1279, 794], [1234, 1280, 792], 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Excellent! So, our little script above did a lot of heavy lifting when it ran. It opened every single individual activity web page from Strava, it then scanned the html for that time tag, it pulled the data from inside that time tag and then it added it to our ever-growing dictionary of individual workout data. If you look at the list of workouts it returned, you'll see that each dictionary within the last, now has a date item giving the date and time that the workout occurred.

Final step...

Now that we have pulled all of this yummy data from Cam's Strava account, we don't want to lose it! So, let's put it into a file that we can reference later. Spreadsheets are always good for this type of thing so let's do that...

Of course, Python has a library that deals specifically with transforming data into spreadsheets/csv files called, apprpriately enough - csv...

In [19]:
import csv

our_spreadsheet = open('our_spreadsheet.csv', 'w', newline='')
output_writer = csv.writer(our_spreadsheet)
headers = power_stats[0].keys()
output_writer.writerow(headers)
for workout in power_stats:
  output_writer.writerow(workout.values())

Bingo bango! In the above block of code, we opened a new csv file and called it 'our_spreadsheet', we then used the csv library's 'writer' function to write to our spreadsheet. First we wrote in all of the headers from our data by simply referencing the first workout dictionary in our big list of workouts and pulling the name of each key from that dictionary. Then we looped through each workout and pulled each of the values from the workout and wrote it to a row on our spreadsheet. That's it! If you're viewing this in Colab and you look to the files pane on your left, you'll now see that we have a nice collated spreadsheet of all of Cam's rides with power from the last year with all of the data that we pulled above - his weighted power, training load, max watts, relative intensity, cp data, time in each power bucket, time in zone, athlete ftp, athlete weight, activity id & the date and time of the activity. All is a nice spreadsheet (that you can download, open with Excel etc.) ready for further analysis and modeling! (as shown below)

And, more importantly, since we built everything in functions above, we could now use the exact same pattern above to loop through multiple years of training by simply replacing the offset of 0 in the url above with a loop of 0-10.

If you have more time to kill, you could potentially make an even bigger loop that increments through all of the available athlete ids (at least up to your API limit for that day) and pull all of the public data into one humungous dataset! The sky is the limit with Python & the web!

I will leave it to you to play with that until, in our next edition of Python for Coaches I'll go into how we can use Python's Pandas library to analyze the spreadsheet that you've built (and other exported spreadsheets, e.g. from Training Peaks) to extract key insights from the data that you've mined!

Until then...

Train smart,

AC