StravDuro is a simple Python script that looks through a list of Strava activities, gathers segment times for a select set of segments, then outputs the results to an easy-to-view spreadsheet.
This project is completely unaffiliated with Strava. Bike racing is an inherently dangerous and risky activity. By using this tool, you agree to ride responsibly and not hold the StravDuro developers or Strava liable for any damages or injuries that may occur during your ride. Mmmkay?
- Python 3 or later
- pip3 (should come with your Python 3 Installation)
- A web browser that is logged in to Strava (more on this in the --browser section)
Install the required modules:
pip3 install -r ./requirements.txt
python3 ./stravDuro.py --name "race title" --activities . . . --segments . . . --browser [firefox | chrome | opera | edge]
StravDuro must be run with the required --name, --activities, --segments, and --browser flags:
Following the --name flag should be a quotation-wrapped title for the race.
Following the --activities flag should be a space-separated list of Strava activity IDs to be entered into the race. An activity's ID can be found after the /activities/ part in its URL.
https://www.strava.com/activities/5678626826
In the above ride URL example, 5678626826 is the activity ID
Similarly to the activities flag, the --segments flag should be followed by a space-separated list of Strava segment IDs to be added to the race course. A segment's ID can be found after the /segments/ part in its URL.
IMPORTANT NOTE ABOUT SEGMENT IDs: If you click on a segment from an activity page, you might notice /segments/2853984407537277732 or similar is appended to the activity URL. This does NOT contain the segment's true ID. This is the effort ID, which refers to the specific instance the segment was ridden, not the segment itself. To get to the URL with the correct segment ID, click on the "View full leaderboard" button.
https://www.strava.com/segments/29191644?filter=overall
In the above segment URL example, 29191644 is the segment ID
If you are an anonymous Strava browser, you are unable to view any segment or activity data. Instead, you are given a prompt to log in or sign up. To get around this, we need to use the browser's Strava cookie so the script can access data that a logged-in user could see. Make sure you are logged in to Strava on your browser of choice before running this script! Supported options for the --browser flag are the following:
firefoxchromeoperaedge
Once the script is finished running, a your_race_title_here.xlsx spreadsheet file will be created in the working directory of the script.