Block 1 - Set: Normalize Lead
- Type / Role
- n8n-nodes-base.set - set
- Config choices
- Version 3.4
This workflow is provided as-is. Please review and test before using in production.
What Problem Does It Solve? In real estate, inquiries come from many sources and often require immediate, personalized attention. Brokers waste significant time manually: Qualifying leads: Deter...
n8n-nodes-base.set, n8n-nodes-base.jotformtrigger, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatgooglegemini, n8n-nodes-base.googlesheetstool, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.gmail, n8n-nodes-base.zohocrm
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Abdullah Alshiekh.
Original n8n.io sourceIn real estate, inquiries come from many sources and often require immediate, personalized attention. Brokers waste significant time manually:
Qualifying leads: Determining if a prospect's budget, neighborhood, and needs match available inventory.
Searching listings: Cross-referencing customer criteria against a large, static database.
Data entry: Moving contact details and search summaries into a CRM like Zoho.
Initial follow-up: Sending an email to confirm the submission and schedule the next step.
Jotform Trigger: Replace the placeholder with your specific Jotform ID.
Zoho CRM: Replace the placeholder TEMPLATED_COMPANY_NAME with your actual company name.
Gmail: Replace the placeholder Calendly link YOUR_CALENDLY_LINK in the Send a message node with your real estate consultant's booking link.
Google Sheets: Replace YOUR_GOOGLE_SHEET_DOCUMENT_ID and YOUR_SHEET_GID_OR_NAME in both Google Sheets nodes. Your listings must be structured with columns matching the AI prompt (e.g., bedrooms, rent, neighborhoods).
AI Models: Ensure your Google Gemini API key is linked to the Google Gemini Chat Model node.
AI Agent Prompt: The included prompt contains the exact matching and scoring rules for the AI. You can edit this prompt to refine how the AI prioritizes factors like supplier_rating or neighborhood proximity.
If you need any help Get in Touch
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.
| Workflow | Automate real estate lead matching with Jotform, & Gemini AI to Zoho CRM |
|---|---|
| Complexity | advanced |
| Nodes | 15 |
| Categories | Lead Generation, AI Chatbot |
| Author | Abdullah Alshiekh |
| Published | 11 Oct 2025 |
Use the JSON export at /data/workflows/9494/9494.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
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.
What Problem Does It Solve? In real estate, inquiries come from many sources and often require immediate, personalized attention. Brokers waste significant time manually: Qualifying leads: Deter...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
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 Chatbot use case.