Compare rental estimates from Zillow, HUD FMR and Rentometer with GPT-4.1

Who is this for?

Real estate investors and analysts evaluating buy-and-hold rentals, BRRRR deals, or any property where you want to triangulate rent estimates from multiple sources rather than trusting a single Zestimate.

What does it do?

Send a property address in the chat panel and the AI Agent pulls rental data from three independent sources, then returns a side-by-side tabular comparison so you can quickly see the spread between estimates.

How it works

1. Chat Trigger — you send a property address (and ideally bed/bath count) via the chat panel
2. Zillow Rent — calls the Apify Zillow Detail Scraper actor and extracts the rentZestimate
3. Rentometer — pulls local rent comparables (mean, median, percentiles)
4. Zipcode-to-CBSA — converts the property's ZIP code into a HUD CBSA code
5. HUD Fair Market Rent — uses the CBSA code to fetch government-published Fair Market Rent for the metro
6. AI Agent — synthesizes all four sources into a markdown table with a brief recommendation

Set up steps

• Add OpenAI credentials to the Chat Model node (default model: GPT-4.1-mini)
• Register for a free HUD User API key at huduser.gov and add it as a Bearer Auth credential — referenced by both HUD nodes
• Get an Apify API token and subscribe to the maxcopell/zillow-detail-scraper actor
• Get a Rentometer API key at rentometer.com and add it as a Bearer Auth credential

Setup time: ~10 minutes once you have all four API keys.