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 requests and numpy packages. While pandas is not required, it is required to work with Pandas DataFrames.

pip install nba_api

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()[0]
# json
career.get_json()
# dictionary
career.get_dict()

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.

• Table of Contents
• Package Structure
• Endpoints
• Static Data Sets
  • players.py
  • teams.py

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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.

The nba_api package is Open Source with an MIT License.

NBA.com has a Terms of Use regarding the use of the NBA’s digital platforms.