SoccerData is a toolset for scraping soccer data from various websites like ESPN and FBref, providing users with structured Pandas DataFrames. It allows for easy access to game schedules and player statistics, while emphasizing the importance of responsible usage and compliance with website terms. Users are encouraged to contribute to the project and report any issues due to potential changes in the source websites.

• SoccerData scrapes and normalizes soccer data from eight sources (Club Elo, ESPN, FBref, Football-Data.co.uk, Sofascore, SoFIFA, Understat, WhoScored) into consistent Pandas DataFrames with matching column names and IDs across sources.
• It caches downloaded data locally to avoid redundant scraping.
• Because it depends on scraping live websites, changes to those sites can break functionality, so the project relies on users reporting issues and contributing fixes via pull requests.
• Users are responsible for using it ethically and complying with each source website's terms of service, as it's provided without warranty.