Retrieve men's basketball data from ESPN in Python


Keywords
basketball, data, nba, statistics, web, scraping
License
MIT
Install
pip install hoopR-py==0.0.11

Documentation

hoopR-py is now archived

Please use sportsdataverse-py as a drop-in replacement

hoopR-py

Lifecycle:experimental PyPI Contributors Twitter Follow

See CHANGELOG.md for details.

hoopR-py is an Python package for working with men’s basketball data and companion package to hoopR

The package has functions to access live play by play and box score data from ESPN with shot locations when available.

Installation

hoopR-py can be installed via pip:

pip install hoopR-py

or from the repo (which may at times be more up to date):

git clone https://github.com/saiemgilani/hoopR-py
cd hoopR-py
pip install -e .

Our Authors

Citations

To cite the hoopR-py Python package in publications, use:

BibTex Citation

@misc{saiemgilani2021hoopRpy,
  author = {Gilani, Saiem},
  title = {hoopR-py: The SportsDataverse's Python Package for Men's Basketball Data.},
  url = {https://hoopR-py.sportsdataverse.org/},
  year = {2021}
}