Rental Property Scraper & AI Deal Analyzer
An AI-powered rental analysis workflow that finds listings, cleans the data, removes duplicates, and scores each deal for faster review.
Tools used
Problem
Rental research required too much manual checking across listing sources, spreadsheets, and pricing notes.
Solution
Built a workflow that collects listing data, normalizes key fields, stores structured results in Google Sheets, and uses OpenAI to classify listings as Good, Average, or Overpriced.
Result
Improved property review speed, reduced manual analysis, and created a repeatable AI-assisted decision system.
Video demo
Rental Property Scraper walkthrough
Loom walkthrough of the rental scraping workflow, cleaned listing data, and AI deal classification output.
Workflow breakdown
How the system works
The workflow is organized around clean inputs, clear decisions, and predictable handoffs so the result is useful for the team.
Search rental listing sources through SerpAPI and Zillow-related queries.
Clean, normalize, and deduplicate listing records before storage.
Send structured property details to OpenAI for pricing classification.
Write the final status and notes back to Google Sheets for review.
Screenshots
Project screenshots
Real workflow maps, app screens, and dashboard views from the system build.
Ready to map a workflow like this?