Building a 14-County Real Estate Data Pipeline with CrawlOS and Supabase: Automated Lead Scoring at Scale

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Real estate wholesaling at scale demands more than spreadsheets—it demands infrastructure. This article walks through integrating CrawlOS into a production Supabase environment to automate property data collection across 14 Houston-area counties, using pg_cron for nightly orchestration and HCAD (Harris County Appraisal District) scraping to generate ~125 qualified leads per run. We'll cover the 17-table CrawlOS schema design, actor deployment patterns, lead scoring logic, and the gotchas we hit moving from prototype to production on self-hosted infrastructure. If you're building a vertical real estate tech stack or scaling data pipelines beyond a single county, this technical deep-dive shows exactly how to structure crawlers, database relationships, and automation for wholesale deal flow.