![]() Open source tools give you an interface for setting up scrapes, but are run once and actively by the user. ![]() NodeJS has libraries that abstract away the scraping algorithms, but the infrastructure and creation of the scrape definitions is still on you. There are a lot of resources out there now that help make this process easier. We would have to set up infrastructure, build server-side routing and develop a tested, reliable algorithm for data extraction. ESPN) or well past the budget of our $5 pool.Īnother option to get programmatic access to the data was to create our own server, which would scrape game results from a sports site and serve it up as an API that the sheet could access. We looked into hooking the sheet up with a sports API, but they’re either closed (e.g. We put together a Google Sheet to automate payout calculation, but we had to manually enter the results of each game. ![]() Each matchup was exciting and personal between the owners of the teams competing. So for March Madness this year, we used a Calcutta Auction to auction individual teams to players and distribute winnings from the pool based on how well each team did. The traditional March Madness bracket pool system lacks interaction or direct head-to-head competition. ![]()
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