Automated real estate property lead scoring with BatchData
How It Works
This workflow automates the real estate lead qualification process by leveraging property data from BatchData. The automation follows these steps:
- When a new lead is received through your CRM webhook, the workflow captures their address information
- It then makes an API call to BatchData to retrieve comprehensive property details
- A sophisticated scoring algorithm evaluates the lead based on property characteristics like:
- Property value (higher values earn more points)
- Square footage (larger properties score higher)
- Property age (newer constructions score higher)
- Investment status (non-owner occupied properties earn bonus points)
- Lot size (larger lots receive additional score)
- Leads are automatically classified into categories (high-value, qualified, potential, or unqualified)
- The workflow updates your CRM with enriched property data and qualification scores
- High-value leads trigger immediate follow-up tasks for your team
- Notifications are sent to your preferred channel (Slack in this example)
The entire process happens within seconds of receiving a new lead, ensuring your sales team can prioritize the most valuable opportunities immediately..
Who It's For
This workflow is perfect for:
- Real estate agents and brokers looking to prioritize high-value property leads
- Mortgage lenders who need to qualify borrowers based on property assets
- Home service providers (renovators, contractors, solar installers) targeting specific property types
- Property investors seeking specific investment opportunities
- Real estate marketers who want to segment audiences by property value
- Home insurance agents qualifying leads based on property characteristics
Any business that bases lead qualification on property details will benefit from this automated qualification system.
About BatchData
BatchData is a comprehensive property data provider that offers detailed information about residential and commercial properties across the United States. Their API provides:
- Property valuation and estimates
- Ownership information
- Property characteristics (size, age, bedrooms, bathrooms)
- Tax assessment data
- Transaction history
- Occupancy status (owner-occupied vs. investment)
- Lot details and dimensions
By integrating BatchData with your lead management process, you can automatically verify and enrich leads with accurate property information, enabling more intelligent lead scoring and routing based on actual property characteristics rather than just contact information.
This workflow demonstrates how to leverage BatchData's property API to transform your lead qualification process from manual research into an automated, data-driven system that ensures high-value leads receive immediate attention.
n8n Workflow: Basic Webhook Trigger with Conditional Logic
This n8n workflow demonstrates a fundamental automation pattern: receiving data via a webhook, applying conditional logic, and then performing an action based on that condition. It's a versatile template for starting any workflow that needs to react to external events and make decisions.
What it does
This workflow streamlines the process of receiving an external event and routing it based on a simple condition.
- Listens for an incoming webhook: The workflow starts by waiting for an HTTP POST request to a specific URL.
- Executes custom code: After receiving the webhook, it runs a custom JavaScript code snippet. Note: The provided JSON does not contain any specific code, so this node acts as a placeholder for custom processing.
- Applies conditional logic: It then evaluates the data using an "If" node.
- If the condition is TRUE: It sends a message to a specified Slack channel.
- If the condition is FALSE: No further action is defined in the provided JSON for this path.
- Placeholder for documentation: A sticky note is included, likely for internal documentation or notes about the workflow.
Prerequisites/Requirements
- n8n Instance: A running n8n instance (cloud or self-hosted).
- Slack Account: To send notifications if the condition is met. You will need to configure a Slack credential in n8n.
- External System/Application: An external system or application capable of sending HTTP POST requests to the n8n webhook URL.
Setup/Usage
- Import the workflow:
- In your n8n instance, go to "Workflows".
- Click "New" or "Import from JSON".
- Paste the provided JSON content into the import dialog.
- Configure the Webhook Trigger:
- Locate the "Webhook" node.
- Copy the "Webhook URL" that n8n generates. This is the URL you will send your POST requests to.
- Configure the Code Node:
- Locate the "Code" node.
- Edit the node and add your desired JavaScript code to process the incoming webhook data. This could involve data transformation, validation, or enrichment.
- Configure the If Node:
- Locate the "If" node.
- Define your conditional logic based on the data you expect from the "Code" node. For example, you might check for a specific value in the webhook payload.
- Configure the Slack Node:
- Locate the "Slack" node.
- Select or create a Slack credential. This will require a Slack API token with appropriate permissions to post messages.
- Specify the "Channel" where the message should be posted.
- Customize the "Text" of the message that will be sent when the condition is true.
- Activate the workflow:
- Toggle the workflow to "Active" in the top right corner of the n8n editor.
- Test the workflow:
- Send a POST request to the webhook URL from your external system.
- Observe the execution in n8n and check your Slack channel if the condition is met.
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Install Custom Community Node: You must install the community node from: https://www.npmjs.com/package/n8n-nodes-crawl-and-scrape FIRECRAWL N8N Documentation https://docs.firecrawl.dev/developer-guides/workflow-automation/n8n Install Additional Nodes: n8n-nodes-crawl-and-scrape and n8n-nodes-mcp fire crawl mcp . Set up Credentials: Create credentials in n8n for FIRE CRAWL API,Supabase, Mistral AI, and Google Drive. Configure API Key (CRITICAL): Open the Web Search tool node. Go to Parameters → Headers and replace the hardcoded Tavily AI API key with your own. Configure Supabase Nodes: Assign your Supabase credential to all Supabase nodes. Ensure table names (e.g., companies, competitors) match your schema. Configure Google Drive Nodes: Assign your Google Drive credential to the Google Drive2 and save to Google Drive1 nodes. Select the correct Folder ID. 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Our team at Digital Biz Tech can tailor it precisely to your use case from automation logic to AI-powered enhancements. Contact: shilpa.raju@digitalbiz.tech For more such offerings, visit us: https://www.digitalbiz.tech ---
By DIGITAL BIZ TECH