Block 1 - Schedule Trigger
- Type / Role
- n8n-nodes-base.scheduleTrigger - scheduleTrigger
- Config choices
- Version 1.3
Qualify and route real estate leads with Anthropic Claude, MLS/CRM, and Google Sheets
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1. Workflow Overview
How It Works This workflow automates real estate lead qualification and routing by enriching leads from multiple sources with AI powered analysis and directing them to appropriate sales agents base...
Best for
- Lead Generation automation workflows
- AI Summarization automation workflows
- advanced n8n builders looking for reusable templates
Tools used
n8n-nodes-base.scheduletrigger, n8n-nodes-base.set, n8n-nodes-base.httprequest, n8n-nodes-base.aggregate, n8n-nodes-base.splitout, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatanthropic, @n8n/n8n-nodes-langchain.outputparserstructured
Source and attribution
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Cheng Siong Chin.
Original n8n.io source1.1 Workflow description
- Title
- Qualify and route real estate leads with Anthropic Claude, MLS/CRM, and Google Sheets
- Workflow name
- Qualify and route real estate leads with Anthropic Claude, MLS/CRM, and Google Sheets
How It Works
This workflow automates real estate lead qualification and routing by enriching leads from multiple sources with AI-powered analysis and directing them to appropriate sales agents based on priority. Designed for real estate brokers, sales managers, and lead generation teams, it solves the critical challenge of quickly identifying high-value prospects from high-volume lead streams while ensuring timely agent follow-up. The system triggers on schedule, fetches leads simultaneously from MLS portals and CRM/email sources, aggregates all leads into unified dataset, splits leads for parallel processing, then deploys AI agents using Anthropic's Claude to analyze lead quality, buying intent, budget capacity, and urgency. Based on enrichment scores, leads are routed to best-fit agents by priority tier, with engagement tracking logged to Google Sheets for performance monitoring and optimization.
Setup Steps
- Configure Schedule Trigger with desired lead processing frequency
- Set up MLS/portal integration API credentials in Fetch Leads from MLS/Portals node
- Configure CRM/email system API access in Fetch Leads from CRM/Email node
- Connect Anthropic API credentials for AI Lead Enrichment Agent
- Customize Structured Output Parser with your lead scoring criteria
- Update Check Lead Priority node with priority threshold rules
- Configure agent routing logic in Route to Best-Fit Agent nodes by priority tier
Prerequisites
Active Anthropic API account, MLS/real estate portal API access, CRM system with API integration
Use Cases
Inbound lead qualification from property portals, open house inquiry processing, email campaign lead scoring
Customization
Modify AI enrichment prompts for market-specific criteria, adjust priority scoring algorithms for business goals
Benefits
Reduces lead response time by 75%, ensures high-value prospects receive immediate attention
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 2 - Workflow Configuration
- Type / Role
- n8n-nodes-base.set - set
- Config choices
- Version 3.4
Block 3 - Fetch Leads from MLS/Portals
- Type / Role
- n8n-nodes-base.httpRequest - httpRequest
- Config choices
- Version 4.3
Block 4 - Fetch Leads from CRM/Email
- Type / Role
- n8n-nodes-base.httpRequest - httpRequest
- Config choices
- Version 4.3
Block 5 - Aggregate All Leads
- Type / Role
- n8n-nodes-base.aggregate - aggregate
- Config choices
- Version 1
Block 6 - Split Leads for Processing
- Type / Role
- n8n-nodes-base.splitOut - splitOut
- Config choices
- Version 1
Block 7 - AI Lead Enrichment Agent
- Type / Role
- @n8n/n8n-nodes-langchain.agent - agent
- Config choices
- Version 3.1
Block 8 - Anthropic Chat Model
- Type / Role
- @n8n/n8n-nodes-langchain.lmChatAnthropic - lmChatAnthropic
- Config choices
- Version 1.3
Block 9 - Structured Output Parser
- Type / Role
- @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
- Config choices
- Version 1.3
Block 10 - Check Lead Priority
- Type / Role
- n8n-nodes-base.if - if
- Config choices
- Version 2.3
Block 11 - Route to Best-Fit Agent - High Priority
- Type / Role
- n8n-nodes-base.set - set
- Config choices
- Version 3.4
Block 12 - Route to Best-Fit Agent - Standard Priority
- Type / Role
- n8n-nodes-base.set - set
- Config choices
- Version 3.4
Block 13 - Track Engagement - High Priority
- Type / Role
- n8n-nodes-base.googleSheets - googleSheets
- Config choices
- Version 4.7
Block 14 - Track Engagement - Standard Priority
- Type / Role
- n8n-nodes-base.googleSheets - googleSheets
- Config choices
- Version 4.7
Block 15 - Sticky Note
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
Block 16 - Sticky Note1
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
Block 17 - Sticky Note2
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
Block 18 - Sticky Note3
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
Block 19 - Sticky Note4
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
Block 20 - Sticky Note5
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
3. Summary Table
| Workflow | Qualify and route real estate leads with Anthropic Claude, MLS/CRM, and Google Sheets |
|---|---|
| Complexity | advanced |
| Nodes | 20 |
| Categories | Lead Generation, AI Summarization |
| Author | Cheng Siong Chin |
| Published | 25 Jan 2026 |
4. Reproducing the Workflow from Scratch
-
1. Download the workflow JSON
Use the JSON export at /data/workflows/12996/12996.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.
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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 and route real estate leads with Anthropic Claude, MLS/CRM, and Google Sheets do?
How It Works This workflow automates real estate lead qualification and routing by enriching leads from multiple sources with AI powered analysis and directing them to appropriate sales agents base...
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.