basketball_reference_web_scraper: Open Source Data Extraction & Web Scraping

basketball_reference_web_scraper is a free, open source data extraction & web scraping project written in HTML and released under MIT. It has 556 GitHub stars, 133 forks and 8 open issues, and was last pushed 11 hours ago. On this registry it ranks #102 of 105 tracked projects in Data Extraction & Web Scraping, with 5 head-to-head comparisons available.

Basketball Reference is a great site (especially for a basketball stats nut like me), and hopefully they don't get too pissed off at me for creating this.

I initially wrote this library as an exercise for creating my first PyPi package - hope you find it valuable!

Documentation

For documentation about installing the package and API methods see the documentation page.

Contributors

Thanks to @DaiJunyan, @ecallahan5, @Yotamho, @ntsirakis, @allanbelliti, @krlu, @aaronbannin, @benjaminmesser, @pepeefirat, @PGats, @jakeakopp, and @DigitalCurrensy for their contributions!

Frequently asked questions

Is basketball_reference_web_scraper free to use?

basketball_reference_web_scraper is open source under the MIT licence. There is no licence fee and no seat count — you can self-host it or, where the project offers one, pay a vendor for a managed version instead.

What does basketball_reference_web_scraper do?

NBA Stats API via Basketball Reference

What is basketball_reference_web_scraper written in?

basketball_reference_web_scraper is primarily written in HTML. Its source is publicly available at https://github.com/jaebradley/basketball_reference_web_scraper, and it has 556 GitHub stars.