This is a python module to scrape basketball-reference.com and convert various stats into usable data structures for analysis.
Here is a link to a sample IPython Notebook file demonstrating the library.
Still developing the API. Right now you can get a list of all player overview urls, generate a list of game log urls for a given player, and convert that list into pandas dataframe.
players.json was generated on 02/11/2016 by
I'd recommend building your own, fresh copy. It takes about 10 minutes to scrape from the site.
To create the most recent
players.json, you can use as follows.
import basketballCrawler as bc players = bc.buildPlayerDictionary() bc.savePlayerDictionary(players, '/path/to/file')
You can also download generated
players.json. However, note that it's a pretty large (13M) file.
players = bc.loadPlayerDictionary('/path/to/players.json')
In order to search player name, use
searchForName function, for example,
searched_player = bc.searchForName(players, 'Murphey') # players is player dictionary
- Local Database construction.
- League-wide statistics.