The real estate market is vast and data-driven decisions are crucial, indicating a large market size. Building a scraper with Supabase and CrawlOS is technically feasible for a small team within a reasonable timeframe. While data scraping for real estate exists, focusing on multi-county aggregation offers a competitive edge, and the demand for localized real estate data is strong globally.