Metadata-Version: 1.1
Name: nba-scrape
Version: 0.46
Summary: Python utility to easily scrape NBA stats
Home-page: https://github.com/hqadeer/nba_scrape.git
Author: Hamza Qadeer
Author-email: hamza.qadeer@berkeley.edu
License: UNKNOWN
Description: # nba_scrape
        
        An easy-to-use Python utility to scrape professional basketball data off stats.nba.com using Selenium and BeautifulSoup.
        
        ### Installation:
        
        `pip install nba_scrape`
        
        ### Current functionality:
        
        1) Compile a list of all NBA players and their IDs when initializing the NBA class.
        
        2) Easily load all regular season and playoff stats off a player's career page to a SQLite database. Only the player's name is required as input.
        
        3) Retrieve all traditional stats and select advanced ones (such as True Shooting Percentage) via database queries; only the requested stats and seasons are required as input.
        
        4) Browser-agnostic; uses the best available browser or raises an error if no supported browser is available.
        
        5) Test suite to ensure correct statistics are returned.
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
