Data Automation · Project

Foreclosure Data Hub

Built a foreclosure intelligence platform powered by a Python scraping pipeline that ingests nationwide public records daily and turns them into investor-ready deal data.

Python scraping pipelineRecord normalizationScheduled collectionCSV export

The implementation.

Foreclosure Data Hub is a real-estate intelligence product built around a Python scraping pipeline that continuously collects and normalizes foreclosure and REO records across U.S. counties. The platform delivers fresh daily data in a modern dashboard with filtering, saved searches, CSV export, and automated email alerts so investors can act quickly. It also includes AI-powered property analysis, owner lookup workflows, and structured records that help users evaluate opportunities faster without manual courthouse research.

My contribution

Python collection pipeline, record normalization, and delivery into the platform.

Visit the live project
Foreclosure Data Hub — implementation screenshot 1Foreclosure Data Hub — implementation screenshot 2

Start with one workflow.

Tell me the repetitive task and the result you need. We’ll define a small pilot, check it against real examples, and agree on the full scope.

Discuss your workflow