Building a scalable real estate wholesaling operation requires more than just capital—it requires reliable, automated data infrastructure. At Load Bearing Empire, we process county appraisal district data across 14 Houston-area counties using a custom CrawlOS integration layered on top of Supabase, PostgreSQL, and pg_cron jobs. This article walks through our production setup: how we modeled the crawlos schema with 17 normalized tables, deployed the lbc-hcad-actor to systematically extract property records from Harris County Appraisal District APIs, and configured nightly batch runs that surface ~125 scored leads per execution. If you're running real estate data operations at scale and need a self-hosted alternative to expensive data aggregation services, this technical breakdown covers the schema design, actor configuration, cron scheduling, and lead-scoring logic that powers our lead generation pipeline.
Top comments (0)