NBA Stats Scraper 🏀

A Python-based web scraper that collects NBA player statistics from Basketball-Reference for multiple seasons and stat types.
This project demonstrates web scraping with Playwright, data extraction with BeautifulSoup, and data handling with pandas.

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Features

• Scrapes per game, totals, and advanced stats for multiple NBA seasons.
• Handles different table structures (commented tables, direct tables, and new advanced stats table IDs).
• Retries failed requests up to 3 times for robust scraping.
• Progress bar with tqdm to track scraping progress.
• Saves all data to a CSV file (nba_stats.csv) for further analysis.
• Future-proof pandas.read_html implementation to avoid warnings.

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Technologies Used

• Python 3.13+
• Playwright for headless browser automation
• BeautifulSoup for HTML parsing
• pandas for data handling
• tqdm for progress visualization

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