RamisLao/scraper-whoscored

Webscraper for the website www.whoscored.com using Python and Selenium

33
/ 100
Emerging

This tool helps football analysts, sports journalists, and betting enthusiasts gather detailed player and team statistics from WhoScored.com. It takes a list of teams and players (behind the scenes, their web page addresses) and outputs structured data files (like CSVs or text files) containing their performance information. It's designed for individuals who need to compile comprehensive football datasets for analysis without manual data entry.

No commits in the last 6 months.

Use this if you need to systematically collect a large amount of football data, including player statistics and team information, from WhoScored.com for analytical purposes.

Not ideal if you only need a few data points or prefer a pre-built data feed, as this requires some technical setup and execution steps.

football-analytics sports-data player-statistics team-performance sports-betting
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 8 / 25
Community 18 / 25

How are scores calculated?

Stars

28

Forks

13

Language

Python

License

Last pushed

Jun 25, 2018

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/perception/RamisLao/scraper-whoscored"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.