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

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1. Workflow Overview

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 trus...

Best for

Market Research automation workflows
AI Chatbot automation workflows
intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.stickynote, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.httprequesttool, @n8n/n8n-nodes-langchain.chattrigger

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Kevin Fernandez.

Original n8n.io source

1.1 Workflow description

Title: Compare rental estimates from Zillow, HUD FMR and Rentometer with GPT-4.1
Workflow name: 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

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.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Main Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 2 - Warning Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 3 - Agent Section

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 4 - AI Agent1

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2.2

Block 5 - OpenAI Chat Model1

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.2

Block 6 - Rentometer1

Type / Role: n8n-nodes-base.httpRequestTool - httpRequestTool
Config choices: Version 4.2

Block 7 - Zillow Rent1

Type / Role: n8n-nodes-base.httpRequestTool - httpRequestTool
Config choices: Version 4.2

Block 8 - HUD Fair Market Rent1

Type / Role: n8n-nodes-base.httpRequestTool - httpRequestTool
Config choices: Version 4.2

Block 9 - Zipcode-to-cbsa1

Type / Role: n8n-nodes-base.httpRequestTool - httpRequestTool
Config choices: Version 4.2

Block 10 - When chat message received

Type / Role: @n8n/n8n-nodes-langchain.chatTrigger - chatTrigger
Config choices: Version 1.4

3. Summary Table

Workflow	Compare rental estimates from Zillow, HUD FMR and Rentometer with GPT-4.1
Complexity	intermediate
Nodes	10
Categories	Market Research, AI Chatbot
Author	Kevin Fernandez
Published	04 May 2026

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/15472/15472.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Market Research workflows AI Chatbot workflows

Frequently asked questions

What does Compare rental estimates from Zillow, HUD FMR and Rentometer with GPT-4.1 do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Market Research, AI Chatbot use case.

Kevin Fernandez

3 workflows

Nodes

n8n-nodes-base.stickynote @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.lmchatopenai n8n-nodes-base.httprequesttool @n8n/n8n-nodes-langchain.chattrigger

Complexity

intermediate

Published 04 May 2026

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/15472/15472.json

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

Workflow preview

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Who is this for?

What does it do?

How it works

Set up steps

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Main Note

Block 2 - Warning Note

Block 3 - Agent Section

Block 4 - AI Agent1

Block 5 - OpenAI Chat Model1

Block 6 - Rentometer1

Block 7 - Zillow Rent1

Block 8 - HUD Fair Market Rent1

Block 9 - Zipcode-to-cbsa1

Block 10 - When chat message received

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions