Building a real-time sports odds platform presented unexpected challenges beyond simple data scraping. The core difficulty lay in creating robust infrastructure to handle thousands of live updates per second. Maintaining numerous scrapers proved more demanding than writing them initially. Bookmakers define the same match in wildly different ways, requiring complex matching logic. Real-time processing necessitates rapid detection, efficient handling, and minimal latency, far beyond simple periodic refreshes. Comprehensive monitoring is crucial, as silent failures can lead to stale data without detection. Developers demand consistent data structures and formats, not raw, inconsistent feeds from various sources. The project evolved from a collection of scrapers into a sophisticated data platform. This platform, PulseScore, offers a unified API for aggregating bookmaker odds. It provides live, pre-game odds with low latency and consistent JSON responses. The developers aimed to solve their own infrastructure issues and offer a solution to others facing similar real-time data challenges.