logan-lauton/nba_webscrape
web scrapes performed for Kaggle datasets.
This project helps basketball analysts, sports journalists, or fantasy sports enthusiasts gather detailed NBA statistics. It collects raw data on NBA players (like box scores, injuries, and salaries) and team payrolls from various online sources, providing structured datasets ready for analysis. Anyone interested in in-depth NBA performance or financial trends can use these pre-packaged datasets.
No commits in the last 6 months.
Use this if you need comprehensive, current, and clean NBA player and team data for your sports analytics, research, or content creation.
Not ideal if you require real-time NBA game data updates or are looking for a tool to perform custom, on-demand data scraping from arbitrary sports websites.
Stars
8
Forks
2
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Apr 20, 2023
Commits (30d)
0
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