James Elias Phelps

The current Strava API does not allow for users to request activities in the form of a gpx file. The strava2gpx package for Python uses the Strava API to pull data streams which it then compiles into GPX files, effectively allowing users to get GPX files from the Strava API. This tutorial will cover usage of the strava2gpx package in Python.

Before beginning, it is important to note that gpx files deal with gps data, so Strava activities that do not have gps data, currently will not work with the strava2gpx package. (eg. Yoga, Weightlifting, Pool Swimming, etc.)

Installing strava2gpx

The strava2gpx Python package is available through PyPi and can be downloaded easily by running the following command in your development environment:

pip install strava2gpx

Getting Strava API Access

If you already have your credentials for Strava API access you can skip this section. Go to https://www.strava.com/settings/api and if you have not already, go through the steps to create an app there. Eventually, you should get to a screen that looks like this:

The information that we are interested in is the Client ID, Client Secret, and the Refresh Token. Copy those down in a safe spot and don’t share them.

Getting the GPX File in Python

Copy the code below into your code editor and replace client_id, client_secret, and refresh_token with their respective values you copied in the previous section from the Strava API.

from strava2gpx import strava2gpx
import asyncio

async def main():
    '''
    put in your Strava Api client_id, refresh_token, and client_secret
    '''
    client_id = '123456'
    refresh_token = 'adfh750a7s5df8a00dh7asdf98a9s8df6s9asdf8'
    client_secret = 'ahgdyt5672i3y8d345hgd2345c23hjgd1234yd23'

    # create an instance of strava2gpx
    s2g = strava2gpx(client_id, client_secret, refresh_token)

    # connect to the Strava API
    await s2g.connect()

    # write activity to output.gpx by activity id
    await s2g.write_to_gpx(11893637629, "output")

if __name__ == '__main__':
    asyncio.run(main())

On the line

# write activity to output.gpx by activity id
    await s2g.write_to_gpx(11893637629, "output")

you can replace the number (11893637629) with one of your own Strava activity IDs which can be found in the url when looking at them in Strava. (Ex: strava.com/activities/11893637629) This will pull the data from that activity and then compile it into a file called output.gpx. You can change the name of the file by editing the second argument where it currently reads “output”.

Save the python file as strava2gpx.py and run it in the terminal with the following command

python3 strava2gpx.py

When the program has run to completion, you will have an “output.gpx” file in the same directory. This file can be uploaded to other services like Garmin Connect and similar and contains all data like heartrate, power, etc.

Advanced Usage

The package provides an additional function called get_activities_list() which will get a list of all the user’s data and store it in a list of lists where each element is in the following format:

[name, id, start_date, type]
ex:
['Fun Run', 11893637629, '2024-07-15T11:50:49Z', 'Run']

This gives room for bulk processing of activities using custom actions like using date-time to choose what activities are processed or naming them by id and whatnot. Below is an example of calling the function.

from strava2gpx import strava2gpx
import asyncio

async def main():
    '''
    put in your Strava Api client_id, refresh_token, and client_secret
    '''
    client_id = '123456'
    refresh_token = 'adfh750a7s5df8a00dh7asdf98a9s8df6s9asdf8'
    client_secret = 'ahgdyt5672i3y8d345hgd2345c23hjgd1234yd23'

    # create an instance of strava2gpx
    s2g = strava2gpx(client_id, client_secret, refresh_token)

    # connect to the Strava API
    await s2g.connect()

    # get a list of all user's Strava activities
  activities_list = await s2g.get_activities_list()  
  print(activities_list[0:5])

if __name__ == '__main__':
    asyncio.run(main())

The above code would generate the following output:

[
    ['Legs may be sore', 11910466229, '2024-07-17T11:57:21Z', 'Ride'],
    ['Tall Grass, Hidden Dirt', 11906994862, '2024-07-17T00:10:57Z', 'Ride'],
    ['A little thunder there, a little MTB here', 11898361818, '2024-07-16T01:16:13Z', 'Ride'],
    ['Morning Run', 11893637629, '2024-07-15T11:50:49Z', 'Run'],
    ['Afternoon Yoga', 11880523323, '2024-07-13T19:09:04Z', 'Yoga']
]