Basketball-Reference Web Scraping Application

Overview

• Grabs basketball data from Basketball-Reference.
• Extracts player stats, game scores, team information, and more via BeautifulSoup.
• Ideal for basketball analytics, data science, and machine learning.

Usage

Installation

• Clone down the repository to your local machine using git clone
• Cd into the cloned repository
• Install the requirements with pip install -r requirements.txt

git clone https://github.com/michaelc143/BballRefWebScraper.git
cd BballRefWebScraper/
pip install -r requirements.txt

• There is also a Dockerfile built into this repository that can be used via:

docker build . -t BballRefScraper
docker run BballRefScraper

Running the Application

• Example functionality can be found in the examples.py file

cd BballRefWebScraper/
python3 bball_ref_web_scraper/examples.py

Packages Required

• Pandas
• BeautifulSoup
• Unidecode
• Requests
• Pytest
• Pylint
• Coverage

License

This project is licensed under the MIT License - see the LICENSE file for details.