Skip to main content

A Python client for scraping stats and data from Basketball Reference

Project description

basketball_reference_scraper

Basketball Reference is a great resource to aggregate statistics on NBA teams, seasons, players, and games. This package provides methods to acquire data for all these categories in pre-parsed and simplified formats.

Installing

Via pip

I wrote this library as an exercise for creating my first PyPi package. Hopefully, you find it easy to use. Install using the following command:

pip install basketball-reference-scraper

Via GitHub

Alternatively, you can just clone this repo and import the libraries at your own discretion.

Wait, don't scrapers like this already exist?

Yes, scrapers and APIs do exist. The primary API used currently is for stats.nba.com, but the website blocks too many requests, hindering those who want to acquire a lot of data. Additionally, scrapers for Basketball Reference do exist, but none of them load dynamically rendered content. These scrapers can only acquire statically loaded content, preventing those who want statistics in certain formats (for example, Player Advanced Stats Per Game).

API

Currently, the package contains 5 modules: teams, players, seasons, box_scores, pbp, shot_charts, and injury_report. The package will be expanding to include other content as well, but this is a start.

For full details on the API please refer to the documentation.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

basketball_reference_scraper-1.0.6.tar.gz (8.7 kB view details)

Uploaded Source

Built Distribution

File details

Details for the file basketball_reference_scraper-1.0.6.tar.gz.

File metadata

  • Download URL: basketball_reference_scraper-1.0.6.tar.gz
  • Upload date:
  • Size: 8.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.28.1 CPython/3.6.6

File hashes

Hashes for basketball_reference_scraper-1.0.6.tar.gz
Algorithm Hash digest
SHA256 6e07b23e2559dbad2d215e6ed396df9fbc9eef2bcc5c521c1ae44d942ecaf25d
MD5 0ea8b6f1b3d253e97b7c163afd2c79ea
BLAKE2b-256 4171aac3bd1011079f070143e42d9ec2dec797598be97a71df4030346f9b1eb3

See more details on using hashes here.

File details

Details for the file basketball_reference_scraper-1.0.6-py3-none-any.whl.

File metadata

  • Download URL: basketball_reference_scraper-1.0.6-py3-none-any.whl
  • Upload date:
  • Size: 16.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.28.1 CPython/3.6.6

File hashes

Hashes for basketball_reference_scraper-1.0.6-py3-none-any.whl
Algorithm Hash digest
SHA256 eda4f86a8598389b356ed494ad75c316212b56809d9d2fdc32dcf80b61080a7a
MD5 bfb631f74f258d22ec1a4914b7d7eaed
BLAKE2b-256 e4580c15be236d4118e773857a8b1d24e97fc4447dd6515e583461d31ea2e759

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page