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Qualify real estate leads automatically with OpenAI, Gmail & Airtable CRM

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Qualify real estate leads automatically with OpenAI, Gmail & Airtable CRM preview
Open on n8n.io

Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

How It Works 1. This AI Agent automatically qualifies property buyer leads from form submissions. 2. Form Submission Trigger 3. When a user submits their details via a property inquiry form, the...

Best for

  • Lead Generation automation workflows
  • AI Summarization automation workflows
  • intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.formtrigger, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.informationextractor, n8n-nodes-base.if, n8n-nodes-base.set, n8n-nodes-base.gmail, n8n-nodes-base.airtable, n8n-nodes-base.stickynote

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title
Qualify real estate leads automatically with OpenAI, Gmail & Airtable CRM
Workflow name
Qualify real estate leads automatically with OpenAI, Gmail & Airtable CRM

đź§  How It Works

  1. This AI Agent automatically qualifies property buyer leads from form submissions.
  2. Form Submission Trigger
  3. When a user submits their details via a property inquiry form, the workflow is triggered.
  4. AI Lead Classification
  5. The buyer's input (budget, location, timeline, etc.) is analyzed by OpenAI to extract structured data and generate a lead score (0–100).
  6. Lead Qualification Logic
  7. Leads with a score of 70 or above are marked as qualified, the rest are ignored or stored separately.
  8. Follow-Up Action
  9. Qualified leads trigger:
  10. Email notification to the agent
  11. Record creation in Airtable as CRM

⚙️ How to Set Up

  1. Form Setup
  2. Replace the form trigger with your preferred source (Typeform, Google Form, etc.)
  3. Make sure the form includes: Name, Email, Budget, Location, Timeline, Property Type
  4. Connect Your Credentials
  5. Add your OpenAI API key for the LLM node
  6. Connect your Gmail account for notifications
  7. Link your Airtable base and table to store qualified leads
  8. Customize Scoring Logic (Optional)
  9. You can tweak the prompt in the Information Extractor node to change how scoring works
  10. Test the Workflow
  11. Submit a test entry via the form
  12. Check if you receive an email and see the lead in Airtable
  13. Activate & Go Live
  14. Turn on the workflow and start qualifying real buyer leads in real time

Connect with my linkedin: https://www.linkedin.com/in/bheta-dwiki-maranatha-15654b227/

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 - On form submission

Type / Role
n8n-nodes-base.formTrigger - formTrigger
Config choices
Version 2.2

Block 2 - OpenAI Chat Model

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

Block 3 - Information Extractor

Type / Role
@n8n/n8n-nodes-langchain.informationExtractor - informationExtractor
Config choices
Version 1

Block 4 - If

Type / Role
n8n-nodes-base.if - if
Config choices
Version 2.2

Block 5 - Edit Fields

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 6 - Gmail

Type / Role
n8n-nodes-base.gmail - gmail
Config choices
Version 2.1

Block 7 - Airtable

Type / Role
n8n-nodes-base.airtable - airtable
Config choices
Version 2.1

Block 8 - Sticky Note

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

Block 9 - Sticky Note1

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

Block 10 - Sticky Note2

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

Block 11 - Sticky Note3

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

Block 12 - Sticky Note4

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

3. Summary Table

Workflow Qualify real estate leads automatically with OpenAI, Gmail & Airtable CRM
Complexity intermediate
Nodes 12
Categories Lead Generation, AI Summarization
Author Marth
Published 28 Jun 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/5428/5428.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

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

  4. 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. 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.

Frequently asked questions

What does Qualify real estate leads automatically with OpenAI, Gmail & Airtable CRM do?

How It Works 1. This AI Agent automatically qualifies property buyer leads from form submissions. 2. Form Submission Trigger 3. When a user submits their details via a property inquiry form, the...

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 Lead Generation, AI Summarization use case.