An API Client package to access the APIs for NBA.com
An API Client Package to Access the APIs of NBA.com
nba_api is an API Client for
www.nba.com. This package intends to make the APIs of NBA.com easily accessible and provide extensive documentation about them.
nba_api requires Python 3.7+ along with the
numpy packages. While
pandas is not required, it is required to work with Pandas DataFrames.
pip install nba_api
NBA Official Stats
from nba_api.stats.endpoints import playercareerstats # Nikola Jokić career = playercareerstats.PlayerCareerStats(player_id='203999') # pandas data frames (optional: pip install pandas) career.get_data_frames() # json career.get_json() # dictionary career.get_dict()
NBA Live Data
from nba_api.live.nba.endpoints import scoreboard # Today's Score Board games = scoreboard.ScoreBoard() # json games.get_json() # dictionary games.get_dict()
- Requests/Response Options
- Proxy Support, Custom Headers, and Timeout Settings
- Return Types and Raw Responses
- Static Data Sets
- Reduce HTTP requests for common and frequently accessed player and team data.
- Jupyter Notebooks
- Practical examples in Jupyter Notebook format, including making basic calls, finding games, working with play-by-play data, and interacting with live game data.
Join the Community
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See Contributing to the NBA_API for complete details.
A significant purpose of this package is to continuously map and analyze as many endpoints on NBA.com as possible. The documentation and analysis of the endpoints and parameters in this package are some of the most extensive information available. At the same time, NBA.com does not provide information regarding new, changed, or removed endpoints.
If you find a new, changed, or deprecated endpoint, open a GitHub Issue
Encounter a bug, report a bug.
API Client Package
nba_api package is Open Source with an MIT License.
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