WhoScored

class soccerdata.WhoScored(leagues=None, seasons=None, proxy=None, no_cache=False, no_store=False, data_dir=PosixPath('/home/docs/soccerdata/data/WhoScored'), path_to_browser=None, headless=False)

Provides pd.DataFrames from data available at http://whoscored.com.

Data will be downloaded as necessary and cached locally in ~/soccerdata/data/WhoScored.

Parameters:
  • leagues (string or iterable, optional) – IDs of Leagues to include.

  • seasons (string, int or list, optional) – Seasons to include. Supports multiple formats. Examples: ‘16-17’; 2016; ‘2016-17’; [14, 15, 16]

  • proxy ('tor' or dict or list(dict) or callable, optional) –

    Use a proxy to hide your IP address. Valid options are:
    • ”tor”: Uses the Tor network. Tor should be running in the background on port 9050.

    • dict: A dictionary with the proxy to use. The dict should be a mapping of supported protocols to proxy addresses. For example:

      {
          'http': 'http://10.10.1.10:3128',
          'https': 'http://10.10.1.10:1080',
      }
      
    • list(dict): A list of proxies to choose from. A different proxy will be selected from this list after failed requests, allowing rotating proxies.

    • callable: A function that returns a valid proxy. This function will be called after failed requests, allowing rotating proxies.

  • no_cache (bool) – If True, will not use cached data.

  • no_store (bool) – If True, will not store downloaded data.

  • data_dir (Path) – Path to directory where data will be cached.

  • path_to_browser (Path, optional) – Path to the Chrome executable.

  • headless (bool, default: True) – If True, will run Chrome in headless mode. Setting this to False might help to avoid getting blocked. Only supported for Selenium <4.13.

read_schedule(force_cache=False)

Retrieve the game schedule for the selected leagues and seasons.

Parameters:

force_cache (bool) – By default no cached data is used for the current season. If True, will force the use of cached data anyway.

Return type:

pd.DataFrame

read_missing_players(match_id=None, force_cache=False)

Retrieve a list of injured and suspended players ahead of each game.

Parameters:
  • match_id (int or list of int, optional) – Retrieve the missing players for a specific game.

  • force_cache (bool) – By default no cached data is used to scrapre the list of available games for the current season. If True, will force the use of cached data anyway.

Raises:

ValueError – If the given match_id could not be found in the selected seasons.

Return type:

pd.DataFrame

read_events(match_id=None, force_cache=False, live=False, output_fmt='events', retry_missing=True, on_error='raise')

Retrieve the the event data for each game in the selected leagues and seasons.

Parameters:
  • match_id (int or list of int, optional) – Retrieve the event stream for a specific game.

  • force_cache (bool) – By default no cached data is used to scrape the list of available games for the current season. If True, will force the use of cached data anyway.

  • live (bool) – If True, will not return a cached copy of the event data. This is usefull to scrape live data.

  • output_fmt (str, default: 'events') –

    The output format of the returned data. Possible values are:

  • retry_missing (bool) – If no events were found for a game in a previous attempt, will retry to scrape the events

  • on_error ("raise" or "skip", default: "raise") – Wheter to raise an exception or to skip the game if an error occurs.

Raises:
  • ValueError – If the given match_id could not be found in the selected seasons.

  • ConnectionError – If the match page could not be retrieved.

  • ImportError – If the requested output format is ‘spadl’, ‘atomic-spadl’ or ‘loader’ but the socceraction package is not installed.

Return type:

See the description of the output_fmt parameter.

classmethod available_leagues()

Return a list of league IDs available for this source.

Return type:

list[str]