Analyze real estate submarket opportunities with GPT-4, MLS, Gmail and Slack

by Cheng Siong Chin ✓ · 275 views · created 2025-12-29 · Market Research, AI Summarization

What this workflow does

This AI workflow has 14 nodes and runs on a schedule (every day at 06:00). Along the way it connects OpenAI Chat Model, Gmail and Slack.

How it runs

Trigger: On a schedule (every day at 06:00).

1. Workflow Configuration (Edit Fields (Set)): sets 8 fields: mlsApiUrl, publicRecordsApiUrl, demographicApiUrl…
2. Fetch MLS Data (HTTP Request): calls an HTTP API
3. Fetch Public Records (HTTP Request): calls an HTTP API
4. Fetch Demographic Data (HTTP Request): calls an HTTP API
5. Fetch Macroeconomic Data (HTTP Request): calls an HTTP API
6. Combine All Data Sources (Aggregate): combines items into one
7. Investment Opportunity Analyzer (AI Agent): runs an AI agent, with model: OpenAI GPT-; 1 tool (Calculator); output parser: Structured Output Parser
8. Filter High-Priority Opportunities (Code): runs custom JavaScript code
9. Email Acquisition Team (Gmail): uses Gmail
10. Notify Investors on Slack (Slack): uses Slack

Services it uses

OpenAI Chat ModelGmailSlack

Before you upgrade to n8n 3.0

Nodes used (11)

• Schedule Triggern8n-nodes-base.scheduleTrigger
• Edit Fields (Set)n8n-nodes-base.set
• HTTP Requestn8n-nodes-base.httpRequest
• Aggregaten8n-nodes-base.aggregate
• AI Agent@n8n/n8n-nodes-langchain.agent
• OpenAI Chat Model@n8n/n8n-nodes-langchain.lmChatOpenAi
• Calculator@n8n/n8n-nodes-langchain.toolCalculator
• Structured Output Parser@n8n/n8n-nodes-langchain.outputParserStructured
• Coden8n-nodes-base.code
• Gmailn8n-nodes-base.gmail
• Slackn8n-nodes-base.slack

From the author

How It Works This workflow automates end-to-end real estate investment analysis by aggregating data from multiple sources and applying AI-driven evaluation. It is designed for real estate investors, analysts, and portfolio managers seeking data-backed…

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