MLB Data Scraping & Storage

Project Info -

Developed a suite of Python scripts to automate the scraping and storage of MLB data, including daily lineups, schedules, and player statistics. The scripts leverage libraries like BeautifulSoup for web scraping and integrate with a MySQL database for structured data storage. Key features: Daily Lineups: Extracts game time, team lineups, umpires, weather details, and player positions for both home and away teams, ensuring real-time updates. Schedules: Retrieves detailed schedules, including game dates, teams, and timings, with duplicate checks for efficient database insertion. Player Statistics: Captures comprehensive player data such as games played, hits, home runs, averages, and other performance metrics, with robust update mechanisms for existing records. The solution is designed to handle large-scale data efficiently and provides a reliable framework for MLB data analysis and integration into various applications.