From Scrapers to MCP Server: Serving Korean Entertainment Data to AI Agents
Korean entertainment data is surprisingly fragmented. Information about a single drama or film is often scattered across multiple platforms. To solve that, I built a unified Korean entertainment database powered by APIs, web scrapers, and automated sync pipelines. By the end of the project, I had a Supabase database containing nearly 10,000 Korean movies, 3,500 TV shows, per-episode Nielsen Korea ratings, award histories, and streaming availability across four regions. The next problem was fig...
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