This article provides a complete, practical walkthrough of the Code Webhook Automation Webhook n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.

What This Agent Does

This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.

It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.

Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.

How It Works

The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.

Third‑Party Integrations

• HTTP Request
• Webhook

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   Title:
   Automating Lead Qualification with n8n and BatchData: A Dynamic CRM Workflow
   
   Meta Description:
   Discover how to streamline real estate lead qualification using n8n, BatchData, and your CRM. Automate scoring, property verification, and real-time routing of high-value opportunities.
   
   Keywords:
   n8n, lead qualification workflow, CRM automation, property verification, real estate lead scoring, BatchData API, automated lead routing, high-value leads, webhook CRM integration, follow-up task automation, slack lead notifications
   
   Third-Party APIs Used:
   
   - CRM API (Generic CRM with addressable endpoints and webhook support)
   - BatchData Property Lookup API
   - Slack API
   
   Article:
   
   Automating Real Estate Lead Qualification using n8n and BatchData
   
   In real estate and property marketing, differentiation often lies in how swiftly and intelligently you evaluate incoming leads. Manually assessing lead potential, verifying property details, and determining who gets fast-tracked can be tedious and prone to inconsistency. In this article, we explore a powerful, automation-driven lead qualification system using n8n, BatchData’s Property API, your CRM API, and Slack for notifications.
   
   Let’s dive into how this no-code automation orchestrates lead enrichment and routing with precision and real-time responsiveness.
   
   The Business Objective
   
   When a new lead enters your CRM, immediate and accurate qualification can dictate whether you close the deal or lose it to a competitor. Property-based lead enrichment allows you to assess asset value, property characteristics, and ownership—key factors in determining lead quality.
   
   The n8n workflow titled “Lead Qualification with BatchData” does just that. By integrating CRM data, BatchData's property intelligence, and downstream CRM updates and notifications, it ensures that high-value leads don’t slip through the cracks.
   
   Workflow Overview
   
   The flow of this automated qualification process follows these key steps:
   
   1. A new lead enters the CRM and triggers a webhook.
   2. Lead information is fetched from the CRM API based on a lead ID.
   3. The property address is run through BatchData's Property Lookup API.
   4. A scoring algorithm assesses the lead's value based on multiple property attributes.
   5. The CRM is updated with enriched data and a qualification score.
   6. Based on the qualification status (e.g., high-value, qualified), the system:
      - Creates an immediate follow-up task in the CRM for high-value leads.
      - Sends a Slack notification to a designated channel for real-time sales response.
   
   Let’s break down each phase.
   
   Step 1: Webhook Trigger from CRM
   
   The automation begins with the “CRM New Lead Webhook” node in n8n. Whenever a new lead is added to the CRM, this listener captures key fields such as lead ID, CRM API URL, and property address details (street, city, state, and ZIP code).
   
   Example payload:
   ```json
   {
     "leadId": "123",
     "crmApiUrl": "https://your-crm-api.com/api/v1",
     "address": "123 Main St",
     "city": "Anytown",
     "state": "CA",
     "zipcode": "90210"
   }
   ```
   
   This kickstarts the process of verifying and scoring the lead based on the property information.
   
   Step 2: Retrieve Lead Details from CRM
   
   Using HTTP Header Auth credentials established for the CRM, the workflow uses the provided API URL to retrieve complete lead data associated with the given lead ID. This ensures any additional context like lead source or contact details are available for future enrichment or decision-making.
   
   Step 3: Property Verification via BatchData
   
   Next, the workflow makes a request to BatchData's Property Lookup API. With the provided address fields, it fetches critical property data such as:
   
   - Estimated property value
   - Square footage
   - Year built
   - Lot size
   - Bedroom/bathroom count
   - Ownership status (owner-occupied or rental)
   - Recently recorded sale price
   
   This external validation ensures leads with invalid or unverified property data are identified early.
   
   Step 4: Lead Scoring and Qualification Logic
   
   The heart of the system lies in the custom JavaScript function named “Score And Qualify Lead.”
   
   It uses the property data and scores the lead based on:
   
   - Estimated value of the home (up to 30 points)
   - Square footage (up to 15 points)
   - Property age (up to 15 points)
   - Ownership status (investment or owner-occupied, up to 15 points)
   - Lot size (larger lots add extra points)
   
   Based on the final score, the lead is categorized as:
   
   - High-value (50+ pts)
   - Qualified (30–49 pts)
   - Potential (15–29 pts)
   - Not Qualified (<15 pts)
   - Unverified (no property data)
   
   All this logic is customizable, allowing real estate companies or sales teams to tailor it to their market segments or strategic preferences.
   
   Step 5: Update CRM with Enriched Data
   
   The updated lead record is sent back to the CRM with fields such as:
   
   - Total score
   - Qualification status
   - Qualification rationale (notes list key attributes)
   - Verified property details (e.g., value, square footage, construction year)
   
   This ensures that your team works off of structured, enriched data—not just an unverified web form submission.
   
   Step 6: Intelligent Routing for High-Value Leads
   
   The workflow now takes a bifurcated path:
   
   For leads marked as “high-value,” a task is automatically created in the CRM with:
   
   - Type: immediate-followup
   - Priority: high
   - Assigned to a senior agent
   - Due today
   - Notes prompting urgent contact
   
   This proactive step reduces lag time and maximizes close opportunities.
   
   In parallel, a real-time Slack notification is sent to your sales team’s “high-value-leads” channel, which includes the score, property value, and key qualification notes:
   ```
   High-value lead alert: 123
   Property Value: $1,200,000
   Score: 65
   Qualification Notes: High-value property, large square footage, investment property
   ```
   
   Even if a lead doesn’t qualify as high-value, Slack updates can be adapted to reflect basic notifications or alternate routing logic based on score, geography, or lead origin.
   
   Benefits of This Automation Architecture
   
   - Saves hours of manual research and data entry
   - Improves lead response time for high-conversion opportunities
   - Seamlessly integrates with existing CRM systems
   - Boosts data accuracy in sales records
   - Enables consistent lead scoring criteria across agents and teams
   
   How to Set It Up
   
   To replicate this system, you’ll need to:
   
   - Set up credential-based access to both your CRM API and BatchData API
   - Modify field mappings based on the specific data structure of your CRM
   - Adjust Slack credentials and channel routing for notifications
   - Customize scoring thresholds to align with business strategy
   - Add error handling and testing nodes as needed
   
   Conclusion
   
   This n8n-powered lead qualification engine not only streamlines your sales intake process but also elevates the quality of your CRM data and response workflow. By leveraging BatchData’s property intelligence and real-time routing capabilities, your team can focus on what matters most—closing the right deals, faster.
   
   With just a few clicks and API credentials, you can transform your static lead management into a smart, data-infused pipeline that grows with your business.

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. Enable the workflow to run on schedule, webhook, or triggers as configured.

Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.

Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.

Why Automate This with AI Agents

AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.

n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.

Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.

Best Practices

• Credentials: restrict scopes and rotate tokens regularly.
• Resilience: configure retries, timeouts, and backoff for API nodes.
• Data Quality: validate inputs; normalize fields early to reduce downstream branching.
• Performance: batch records and paginate for large datasets.
• Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
• Security: avoid sensitive data in logs; use environment variables and n8n credentials.

FAQs

Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.

How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.

Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.

Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.