Case study · production code
Lead scraping and data cleanup pipeline
Outcome: 1,391,184 clean property records produced from 3,361,791 raw county records, deduplicated and matched.
How it works
- Preflight checks each source before a run.
- Import raw records into a staging database.
- Normalize, dedupe and merge duplicates.
- Match records to owners and assign them.
- Export clean lists to the CRM or dialer.
Open the live demo[Python, DuckDB, Postgres]
Screens
Want this for your business?
Tell me what you would change and I will scope it in a reply.
Start a project