A package that Grabs basketball data from basketball-reference
Project description
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.
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