Built this for the NYC commercial real estate space — sharing the full build here.
The problem: agents were manually searching LoopNet every morning and spending hours on listings that would never close.
What the model does:
- Pulls every new NYC commercial listing from the last 24 hours at 9am automatically
- Scores each property 0-100 based on cap rate, size, price range, and opportunity status
- Flags DOB violations so problem properties are filtered before you waste a call
- Enriches agent contact info and pulls owner name, address, and last sale price
- Sends a daily email with only the high-priority deals
Covers for sale and for lease across all NYC boroughs.
Stack: n8n, LoopNet, DOB (NYC Dept of Buildings), Batch Data, Airtable