This project is designed to automatically scrape and analyze betting odds from multiple sportsbooks for both UFC/MMA and NFL events. It focuses on identifying arbitrage opportunities—situations where differences in odds between bookmakers can be leveraged to guarantee a profit regardless of the match outcome.
Using
Selenium WebDriver
, the system navigates to specific betting pages, extracts market odds and bet types for each matchup, and organizes this data into a structured format for analysis. Currently, the scraper supports a selection of sportsbooks and is capable of retrieving odds for moneyline, spread, and other common bet types.
I am actively working to expand the range of sports and sportsbooks covered, aiming to include more leagues, events, and international betting sites. Another major goal is to automate the entire scraping pipeline, enabling scheduled scraping, real-time data updates, and integration with alert systems that notify users when arbitrage opportunities are found.