Who is this for?
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-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. An n8n automation workflow template by Kevin Fernandez.
Kevin Fernandez
web
free
Others in the same category, ranked by how often they are opened.
