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The stravalib project aims to provide a simple API for interacting with Strava v3 web services, in particular abstracting the v3 REST API around a rich and easy-to-use object model and providing support for date/time/temporal attributes and quantities with units (using the python units library).

See the online documentation for more comprehensive documentation.


  • Python 2.7+, 3.4+ (Uses six for 2/3 compatibility.)
  • Setuptools for installing dependencies
  • Other python libraries (installed automatically when using pip/easy_install): requests, pytz, units, arrow, six


The package is available on PyPI to be installed using easy_install or pip:

shell$ pip install stravalib

(Installing in a virtual environment is always recommended.)

Of course, by itself this package doesn't do much; it's a library. So it is more likely that you will list this package as a dependency in your own install_requires directive in Or you can download it and explore Strava content in your favorite python REPL.

Building from sources

To build the project from sources access the project root directory and run

shell$ python build


shell$ python install

will build and install stravalib in your pip package repository.

To execute unit tests you will need to run

shell$ nosetests


shell$ nosetests-3

if you use Python3.

To run integration tests you will need to rename test.ini-example (which you can find /stravalib/tests/) to test.ini In test.ini provide your access_token and activity_id

Basic Usage

Please take a look at the source (in particular the stravalib.client.Client class, if you'd like to play around with the API. Most of the Strava API is implemented at this point; however, certain features such as streams are still on the to-do list.


In order to make use of this library, you will need to have access keys for one or more Strava users. This effectively requires you to run a webserver; this is outside the scope of this library, but stravalib does provide helper methods to make it easier.

from stravalib.client import Client

client = Client()
authorize_url = client.authorization_url(client_id=1234, redirect_uri='http://localhost:8282/authorized')
# Have the user click the authorization URL, a 'code' param will be added to the redirect_uri
# .....

# Extract the code from your webapp response
code = request.get('code') # or whatever your framework does
token_response = client.exchange_code_for_token(client_id=1234, client_secret='asdf1234', code=code)
access_token = token_response['access_token']
refresh_token = token_response['refresh_token']
expires_at = token_response['expires_at']

# Now store that short-lived access token somewhere (a database?)
client.access_token = access_token
# You must also store the refresh token to be used later on to obtain another valid access token 
# in case the current is already expired
client.refresh_token = refresh_token

# An access_token is only valid for 6 hours, store expires_at somewhere and
# check it before making an API call.
client.token_expires_at = expires_at
athlete = client.get_athlete()
print("For {id}, I now have an access token {token}".format(, token=access_token))

# ... time passes ...
if time.time() > client.token_expires_at:
    refresh_response = client.refresh_access_token(client_id=1234, client_secret='asdf1234',
    access_token = refresh_response['access_token']
    refresh_token = refresh_response['refresh_token']
    expires_at = refresh_response['expires_at']

Athletes and Activities

(This is a glimpse into what you can do.)

# Currently-authenticated (based on provided token) athlete
# Will have maximum detail exposed (resource_state=3)
curr_athlete = client.get_athlete()

# Fetch another athlete
other_athlete = client.get_athlete(123)
# Will only have summary-level attributes exposed (resource_state=2)

# Get an activity
activity = client.get_activity(123)
# If activity is owned by current user, will have full detail (resource_state=3)
# otherwise summary-level detail.


Streams represent the raw data of the uploaded file. Activities, efforts, and segments all have streams. There are many types of streams, if activity does not have requested stream type, returned set simply won't include it.

# Activities can have many streams, you can request n desired stream types
types = ['time', 'latlng', 'altitude', 'heartrate', 'temp', ]

streams = client.get_activity_streams(123, types=types, resolution='medium')

#  Result is a dictionary object.  The dict's key are the stream type.
if 'altitude' in streams.keys():

Working with Units

stravalib uses the python units library to facilitate working with the values in the API that have associated units (e.g. distance, speed). You can use the units library directly stravalib.unithelper module for shortcuts

activity = client.get_activity(96089609)
assert isinstance(activity.distance, units.quantity.Quantity)
# 22530.80 m

# Meters!?

from stravalib import unithelper

# 14.00 mi

# And to get the number:
num_value = float(unithelper.miles(activity.distance))
# Or:
num_value = unithelper.miles(activity.distance).num

Still reading?

The published sphinx documentation provides much more.


Library to provide simple client interface to Strava's REST API (v3).




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