This project is my personal experiment with Strava's API. As an almost daily user of Strava recording private/commute rides as well as the occasional long weekend workout ride, I have some ideas for working with my own personal data as well as public community data, but I am not ready to package this tool for public consumption yet (e.g. as a published lib or web app).

This is an "afternoon project" for the time being, so I don't guarantee or claim any foresight or quality. Use or borrow this code at your own risk!

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• analyze the breakdown between public vs. private activities
• analyze workout vs. commute bike rides

Note: there's a site called VeloViewer which already does a bunch of fancy analytics and visualizations with your Strava data, so you might want to check that out. However, it's not open source (as far as I can tell).

• a simple OAuth client to get a write-permission access_token (for developer use)
• some starter utilities to analyze my personal ride data

• hozn's stravalib
• Python libs listed in requirements.txt

1. create a new Python virtualenv (highly recommended)
2. git clone git@github.com:anthonywu/strava-api-experiment.git
3. cd strava-api-experiment
4. with the project virtualenv activated: pip install -r requirements.txt
5. Register your app with Strava, then get the client_id and client_secret parameters from https://www.strava.com/settings/api
6. cd src, examine the source of ./strava_local_client.py or run ./strava_local_client.py -h - this is a script that interacts with Strava's OAuth endpoints to give you a write-access token
7. Run the local OAuth client: ./strava_local_client.py get_write_token <client_id> <client_secret>. The client will provide an url (or on OS X, launch your default browser to that url) which directs you to a strava.com page that lets you authorize write-access to your account. After you authorize the usage, the OAuth callback returns to the localhost-hosted client app with a code that the client then exchanges for an access_token. Your browser should display the access_token as the response. You can now use this write-permission access_token to view and modify your own user data.
8. Getting on the Python command line to play with the API: STRAVA_API_TOKEN=<access_token> konch

e.g.

$ strava-api-experiment/src $ STRAVA_API_TOKEN=<...> konch
utils: <module 'utils' from 'strava-api-experiment/src/utils.pyc'>
client: <utils.MyStravaClient object at 0x10edc9050>

In [1]: client.get_athlete_clubs()
Out[1]:
[<Club id=11111 name=u'BAF' resource_state=2>,
 <Club id=22222 name=u'LS' resource_state=2>]

See stravalib documentation on how to use the client object.

Enjoy!