A Strava dashboard on a Raspberry Pi (Part 3): The Strava API

This is part 3 of a series of blogposts on how I created a Strava dashboard on a Inky Impression e-ink display with a Raspberry Pi.

OAuth2

This was the part that I expected to be the hard part: getting my data from Strava. Or, to be more precise: getting the connection right so the Strava API would allow me to get that data. Because it requires authentication via the OAuth2 protocol and I’ve tried a similar thing a few years back with a Google API and I just didn’t get it. But now I do.

Strava API documentation

It requires a whole “dance” between your computer code and the Strava API where you exchange all kinds of tokens back and forth. Strava’s Getting Started with the Strava API document explains it quite well. And this blogpost by Graziano Fuccio helped me a lot with the Python code: http://www.grace-dev.com/python-apis/strava-api/.

Frustratingly I still didn’t get it to work though. The reason I found out, is because the URL of the authentication has changed. From https://www.strava.com/oauth/token it became  https://www.strava.com/api/v3/oauth/token. I found this elsewhere in the Stava API documentation, where the correct URL was shown. I’ve told Strava that their Getting Started documentation is outdated. They asked me to create a ticket and I’ve done so, but I don’t think they changed their document yet. But Graziano Fuccio did though.

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Adding the track of my bike ride on a Folium map

Having markers of videos and photos taken during my bike ride is cool and all, but how about having a track of the bike ride itself? All my bike rides are registered on Strava, the cycling and running app. Strava has an API for developers, but it requires connecting via OAuth 2.0 and knowledge of the API. I decided to go an easier route: because I’m Strava Premium member, I can download the GPX track of any ride, including my own.

These .gpx track files are of the same XML structure as we saw embedded in video files in my last blogpost. I can just open the file and use almost the same Python code to read the locations.

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