First, we create a URL, which we'll use in the browser to login into Strava. Once the language is installed, add the python packages pandas, openpyxl and stravalib (a python library for interacting with version 3 of the Strava API) like this: $ pip install pandas stravalib=0.9.4 openpyxl As I said, we need to generate a new Access Token, since the current one from your profile has limited access to your account and is not sufficient for downloading your activities. To run the script that calls the Strava API, you are going to need python ( download it here). Copy the key pair and save it temporarily. This key pair allows you to generate a new Access Token, which enables you to download your private data via the API. Afterwards the 'My API Application' page should look like this:įrom this site you need your Client ID and Client Secret.

Go to /settings/api, create your dummy app and upload any logo you want. Click here.īefore you can start using the API, you need to create a Strava API application. UPDATE: I have also created a web tool, which you can use to export your Strava activities and download it as an Excel file. This little guide shows you how to export a full year of activities via the Strava API and transform the data into a handy excel sheet. But sometimes you want to get your activities out of the system. This enables you to monitor your performance, compare yourself to other riders and analyze the data. Many cyclists synchronise their cycling data with Strava.

Excel to gpx file