Building a real estate wholesale operation at scale demands reliable, automated lead generation. At Load Bearing Capital, we integrated CrawlOS into our Supabase infrastructure to scrape Harris County Appraisal District (HCAD) data across all 14 Houston-area counties, generating ~125 scored leads nightly through pg_cron scheduled jobs. This article covers our technical architecture: the 17-table CrawlOS schema design, Actor configuration for the lbc-hcad-actor crawler, Supabase relationship mapping for lead scoring, and production deployment patterns we're using to power our wholesale pipeline. If you're building location-based SaaS, real estate tech, or data-intensive applications on Postgres, you'll find specific schema design decisions and scaling strategies applicable to your own multi-source data ingestion.
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