Real-Estate Listing Pipeline

A real-estate firm was drowning in MLS listing alerts. Every email meant the same ritual: open the listing, copy a dozen fields into a spreadsheet, judge whether the deal deserved a second look, then file it away. Hours of skilled attention spent on clerical work, every single week.

I built an n8n workflow that watches the firm's inbox over IMAP and fires on every listing alert. It scrapes the listing page, hands the raw content to an AI agent that parses every field — URL, MLS ID, address, list price, remarks — then duplicates a Google Sheets template via OAuth and the Sheets API and writes the structured data in. A final deal-qualification pass scores each listing, flags the promising ones, and routes them to a dedicated Drive folder.

The pipeline runs fully autonomously, end to end. The firm got roughly twenty hours a week back — the team now starts each morning with a sheet of qualified deals instead of an inbox of raw alerts.