📊 Compare rental estimates from Zillow, HUD FMR and Rentometer with GPT-4.1
⚡ 36 views · 📊 Market Research & Insights
Description
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
- Chat Trigger — you send a property address (and ideally bed/bath count) via the chat panel
- Zillow Rent — calls the Apify Zillow Detail Scraper actor and extracts the
rentZestimate - Rentometer — pulls local rent comparables (mean, median, percentiles)
- Zipcode-to-CBSA — converts the property’s ZIP code into a HUD CBSA code
- HUD Fair Market Rent — uses the CBSA code to fetch government-published Fair Market Rent for the metro
- 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-scraperactor - 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.
🔗 Nodes Used
AI Agent, OpenAI Chat Model, Chat Trigger
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File