Scraping and Analyzing Data from Sports Betting Websites
In this meeting, the participants discuss strategies for scraping data from websites related to sports betting. They mention a website called Bencrest where consumers can select a player and view odds across multiple books. They also mention talking to a vendor who has integrated with over a hundred support folks and can provide lines and odds from competitors. The meeting participants discuss ways to normalize and analyze this data, including using scraping tools like Scraping B or inspecting the backend of the website. They mention the importance of speed in moving lines and consider partnering with another engine to support their scraping efforts. They discuss different approaches like white hat scraping (getting data the way the website intends) and more grayish hat approaches. The meeting concludes with suggestions to explore the suggested tools and options for capturing and analyzing the scraped data.