NBA stats API | Web Scraping Basketball Reference
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Updated
Sep 7, 2024 - Python
NBA stats API | Web Scraping Basketball Reference
A package for downloading NBA player headshots.
Graduate school analysis of star players' choice when changing teams.
Scrapy based webcrawler, that gathers detailed data for a specific NBA season from basketball-reference.com
A pleasant Python interface to sports-reference.com websites
🏀 Website that can calculate information about the trajectory of a basketball, and predict player's salaries.
Can we predict the results of basketball games based on previous games? And what do those predictions tell us about the game of basketball?
🏀 🔎 A basketball-reference.com NBA players data scrapper
Predictor of NBA All Stars with deployment on Streamlit
REST API, который парсит basketball-reference
Numerous data analysis projects I've been working on
A project to pull information from basketballreference.com (which has no API available) and process the resulting data. Also, analysis of historical basketball data year by year in the excel file.
Python package for Basketball Reference scraping and easy access to basketball data, including NBA, G League and international leagues
This simple program predicts the result of an NBA match. Uses Monte-Carlo simulation to give the probability of each team winning the matchup.
R package to scrape data from basketball-reference.com
A Python module to scrape data from basketbal-reference.com and convert it to pandas data structures for analysis.
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