Project 01
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.
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.
Impact
Improved property review speed, reduced manual analysis, and created a repeatable AI-assisted decision system.
Workflow preview
Process map and output points
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.





