Programming

If you haven’t already heard, Strava provide a powerful API that allows users to access their data using code. This gives us the ability to create interesting visualisations, analyse progress, and create custom trackers and planners, all with just a few lines of code.

In this tutorial, we’re going to walk through the process of building a heatmap to visualise all of your GPS routes on one map. It’ll show routes you travel frequently, adventures in the middle-of-nowhere, and everything in between. It’s a really cool way to see how much of an area you’ve explored, and find some new routes that connect places you’ve been.

Strava offers a powerful Web API that allows users to access and analyse data from their activities. Whether you’re a fitness enthusiast looking to track your progress or a developer interested in building a simple app that leverages activity data, the Strava API provides a wealth of possibilities.

In this tutorial, we’ll walk through how to use Python to interact with the Strava Web API. By the end of this guide, you’ll learn how to authenticate your app, gain authorised access to a user’s account, and retrieve activity data.

Before we get started, you will need a Strava account, and a Python environment set up on your machine. Any libraries used in this project that you don’t already have installed can be downloaded with pip.