Metadata-Version: 2.1
Name: StatsScraper
Version: 1.0.0
Summary: Scrapes NBA player data from basketball-reference.com and has few methods to sort the data
Home-page: https://github.com/JosephJ12/StatsScraper
Author: Joseph Jung
Author-email: josephjung12@gmail.com
License: MIT
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/x-rst
Requires-Dist: requests
Requires-Dist: contextlib2
Requires-Dist: bs4

StatsScraper2.0.0
=================
A simple CLI python web scraper that scrapes NBA
player data from basketball-reference.org and
allows players to be sorted by points, rebounds, and
assists and displayed.

Installation
------------
Use pip to install StatsScraper2.0.0

::

    pip install StatsScraper2.0.0

Usage
-----
Code excerpt from __main__.py
::

    from StatsScraper import Scraper

    scraper = Scraper()

    result = scraper.find_player_by_name("Ivica Zubac")
    print("Printing result\n")
    for p in result:
        print(p)

    sorted_points = scraper.sort_by_points("SG")
    print("========Printing top scorers========\n")
    for scores in sorted_points:
        print(scores[0], scores[1])

    sorted_assists = scraper.sort_by_assists("PF")
    print("\n\n\n=========Printing top 10 assisters========\n")
    count = 0
    for assists in sorted_assists:
        if(count >= 10):
            break
        print(assists[0], assists[1])
        count += 1

    sorted_rebounds = scraper.sort_by_rebounds("PG", "SG")
    print("\n\n\n=========Printing top 20 rebounders========\n")
    count = 0
    for rebounds in sorted_rebounds:
        if(count >= 20):
            break
        print(rebounds[0], rebounds[1])
        count += 1

Acknowledgment
--------------
Thank you to Oscar Sanchez's article "Web Scraping NBA Stats"
for part of the scraping code

License
-------
`MIT
<https://choosealicense.com/licenses/mit/>`_