Python package for easy access to basketball data through scraping of Basketball Reference website.
This allows users to obtain statistics, standings, and scores for various seasons and phases of the following tournaments:
- NBA
- G-League
- International Tournaments (Olympics, EuroLeague, EuroCup and international leagues from: Spain, Australia, China, France, Greece, Israel, Italy, Turkey, Russia and ABA)
This library was written as an exercise for creating my first PyPi package. Hopefully you will find it valuable! Install with the following command:
pip install BRScraper
For documentation about the API methods refer to the documentation.
from BRScraper import nba
# All players stats per game regular season
nba.get_stats(2023, info='per_game', playoffs=False, rename=False).head()
Output:
| Player | Pos | Age | Tm | G | GS | ... | STL | BLK | TOV | PF | PTS | Season | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Precious Achiuwa | C | 23 | TOR | 55 | 12 | ... | 0.6 | 0.5 | 1.1 | 1.9 | 9.2 | 2022-23 |
| 1 | Steven Adams | C | 29 | MEM | 42 | 42 | ... | 0.9 | 1.1 | 1.9 | 2.3 | 8.6 | 2022-23 |
| 2 | Bam Adebayo | C | 25 | MIA | 75 | 75 | ... | 1.2 | 0.8 | 2.5 | 2.8 | 20.4 | 2022-23 |
| 3 | Ochai Agbaji | SG | 22 | UTA | 59 | 22 | ... | 0.3 | 0.3 | 0.7 | 1.7 | 7.9 | 2022-23 |
| 4 | Santi Aldama | SF | 22 | MEM | 77 | 20 | ... | 0.6 | 0.6 | 0.8 | 1.9 | 9.0 | 2022-23 |
More examples in the files.
Use it wisely!