mixa2130/strava
Asynchronous library based on asyncio and aiohttp for web-scraping data from Strava
This is a Python library for developers who need to extract large amounts of athletic activity data from Strava clubs quickly and efficiently. It goes beyond the official Strava API to provide more comprehensive data, taking your Strava login credentials and a club ID as input. The output is structured activity data ready for analysis or serialization, making it ideal for developers building tools for athletes, coaches, or sports researchers.
No commits in the last 6 months. Available on PyPI.
Use this if you are a Python developer needing to programmatically collect extensive activity data from Strava clubs for analysis or other applications, especially when the official Strava API doesn't provide enough detail.
Not ideal if you are an end-user athlete or coach looking for a ready-to-use application to visualize your Strava data; this requires programming knowledge to implement.
Stars
8
Forks
3
Language
Python
License
MIT
Category
Last pushed
Sep 26, 2021
Commits (30d)
0
Dependencies
33
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