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SoccerData is a collection of scrapers to gather soccer data from popular
websites, including Club Elo_, ESPN_, FBref_,
Football-Data.co.uk_, Sofascore_, SoFIFA_, Understat_ and WhoScored_.
You get Pandas DataFrames with sensible, matching column names and identifiers
across datasets. Data is downloaded when needed and cached locally.
.. code:: python
import soccerdata as sd
# Create a scraper class instance for the 2020/21 Premier League fbref = sd.FBref('ENG-Premier League', '2021')
# Fetch data games = fbref.read_schedule() team_season_stats = fbref.read_team_season_stats(stat_type="passing") player_season_stats = fbref.read_player_season_stats(stat_type="standard")
To learn how to install, configure and use SoccerData, see the
Quickstart guide __. For documentation on each of the
supported data sources, see the example notebooks __
and API reference __.
.. _Club Elo: https://www.clubelo.com/ .. _ESPN: https://www.espn.com/soccer/ .. _FBref: https://www.fbref.com/en/ .. _FiveThirtyEight: https://fivethirtyeight.com/soccer-predictions/ .. _Football-Data.co.uk: https://www.football-data.co.uk/ .. _Sofascore: https://www.sofascore.com/ .. _SoFIFA: https://sofifa.com/ .. _Understat: https://understat.com/ .. _WhoScored: https://www.whoscored.com/
Usage Notice: Please use this web scraping tool responsibly and in compliance with the terms of service of the websites you intend to scrape. The software is provided as-is, without any warranty or guarantees of any kind. The developers disclaim any responsibility for misuse, legal consequences, or damages resulting from its use. It is your responsibility to use the software in accordance with the laws and regulations of your jurisdiction.
Contribution and Issues: As SoccerData relies on web scraping, any changes to the
scraped websites will break the package. Hence, do not expect that all code
will work all the time. If you spot any bugs, then please fork it and start
a pull request __.