sofascore

⛏⚽ Scrape soccer data from Club Elo, ESPN, FBref, Football-Data.co.uk, Sofascore, SoFIFA, Understat and WhoScored.

A Python package for fetching live football/soccer stats from multiple online sources (Sofascore, FBref, Promiedos and others).

SofaScore Scraper is a comprehensive Python application designed to fetch, process, and analyze football match data from SofaScore. Built with a focus on flexibility and data integrity, this tool enables researchers, football analysts, and sports enthusiasts to access structured match data across multiple leagues and seasons.

Using the Sofascore API to collect football games for analysis

Unofficial Sofascore endpoint documentation and reference code. Not affiliated with upstream providers; no hosted API or data service.

maps the sofascore rating to comunio players

Python SDK for multi-source sports data — ESPN (17 sports, 139+ leagues), NHL, MLB, NBA, NFL, FotMob, Sofascore & Fantasy. pip install sportly

Daily football/soccer lineup scraper and analyser for card betting.

In-house Chrome extension for duplicating Admin dev session cookie for localhost domain.

Extract football match commentary (FotMob, Sofascore) and clean article text with one click. Chrome / Edge extension (MV3).

Chrome extension sidebar for live sports scores. Filter by league, date, and status. Published on the Chrome Web Store.

Sofascore Scraper gets you Sofascore data ⚡ fast, 🎯 100% accurate and 🔍 ridiculously detailed — as clean JSON. 1,000 free calls/month ❤️

Stay on top of your favorite team's fixtures and broadcasts without ever leaving your command line.

Runnable Python & JS examples for the Sofascore Scraper on Apify

My silly attempt at calculating the best starting 11 round for round at holdet.dk

SofaScore scraper API: live scores, fixtures, stats, lineups, players & odds. Export JSON/CSV. No-code or Python/Node.

A comprehensive FastAPI toolkit and relational CSV dataset exporter for the Sofascore Football Data especially Trendyol Super League, featuring real-time data and advanced statistics.

A comprehensive Python-based scraping project that collects complete performance statistics for all Premier League players from SofaScore, generating a structured dataset for sports analytics, research, and machine learning applications.

Personal homework repository for Frontend Sofascore Academy 2024, documenting my learning journey and assignment submissions in frontend development.

Home Assistant team tracker using the SofaScore API. Fork of vasqued2/ha-teamtracker (GPL-3.0), migrated from ESPN.