This article provides a complete, practical walkthrough of the Splitout Code 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 Real Estate Lead Generation with n8n and BatchData API
   
   Meta Description:  
   Learn how to automate real estate market scanning and lead generation using n8n and the BatchData API. This workflow identifies high-potential properties with absentee owners and notifies your sales team via email and Slack.
   
   Keywords:  
   real estate automation, n8n workflow, BatchData API, property lead generation, absentee owners, equity filtering, real estate tech, Slack integration, email alerts, property analysis
   
   Third-Party APIs Used:
   
   - BatchData API (https://api.batchdata.com): Used to query and retrieve real estate property data, including market value, ownership status, and property history.
   - Google Maps (via hardcoded URL links for location view in notifications): Used indirectly for providing map links in email and Slack messages.
   - Slack API: Used to send real-time notifications to sales teams.
   - SMTP (via n8n Email Send node): Used to deliver detailed email alerts to the sales team.
   
   📝 Article:
   
   Automating Real Estate Lead Generation with n8n and BatchData API
   
   In the highly competitive real estate industry, staying ahead means faster access to high-quality property leads. Real estate investors and acquisition teams often spend countless hours manually combing through property records — a process that’s both time-consuming and prone to error. Enter automation. By combining the power of n8n — a flexible, open-source workflow automation tool — with BatchData's real estate intelligence API, you can streamline this entire process and deliver qualified leads right to your sales team’s inbox or Slack channel.
   
   Here’s how an automated workflow built in n8n can scan the market for potential deals and help your team strike faster than ever before.
   
   The Workflow Overview
   
   This n8n workflow, titled "Real Estate Market Scanning", is designed to run continuously on a schedule (e.g., every few hours) to scan for changes in property listings in a given area — in this case, Austin, Texas. Specifically, it focuses on single-family residential (SFR) properties priced between $250,000 and $600,000 with at least 30% equity. What makes this workflow powerful isn't just the data scraping — it's the smart filtering and push notification system it enables.
   
   Let’s break this down step-by-step.
   
   Step 1: Scheduled Market Scanning
   
   The workflow kicks off with a Schedule Trigger node, ensuring that the property market in Austin is scanned at defined intervals (every few hours). This eliminates the need for manual queries and keeps the data fresh.
   
   Step 2: Configuring Your Parameters
   
   Next, a Set node is used to define your BatchData API key and your search criteria. These parameters include location (Austin, TX), minimum and maximum market values, required equity percentage, property type (SFR), and result limits.
   
   Step 3: Querying the BatchData API
   
   An HTTP Request node takes that configuration and makes a POST request to the BatchData Properties Search endpoint. BatchData evaluates the input parameters and returns a list of matching property records, including data such as market value, ownership status, and equity percentage.
   
   Step 4: Tracking Changes Over Time
   
   A Code node captures the properties from the current API call and compares them against the data from previous workflow runs. It stores the previous results using the static data feature in n8n, ensuring that only new or updated records are processed further.
   
   This comparison helps the workflow detect:
   - Newly listed properties
   - Changes in property status or ownership
   - Price updates or equity changes
   
   Step 5: Identifying High-Potential Leads
   
   Using a Split node, the workflow breaks the data into individual property records and passes them through a Filter node configured to identify two important conditions:
   1. Equity greater than 40%
   2. Owner marked as “absentee”
   
   Absentee-owned properties with high equity are often the most motivated sellers — making them prime targets for investor outreach.
   
   Step 6: Fetching Detailed Property Data
   
   For these filtered properties, another API request is sent to BatchData to fetch comprehensive property details, including square footage, bedroom/bathroom count, last sale price, and detailed owner contact info.
   
   Step 7: Automated Report Generation
   
   A Set node then prepares formatted content specifically for two purposes:
   - An HTML-based email for the sales team
   - A concise Slack message for real-time updates
   
   These notifications include key property information, owner details, and a direct link to view the location on Google Maps. Everything your sales team needs to act quickly is right in their inbox or Slack workspace.
   
   Step 8: Multi-Channel Delivery
   
   Finally, the information-rich alerts are dispatched via:
   - Email: Using the Email Send node, alerts are sent to “salesteam@yourcompany.com” from “alerts@yourcompany.com”
   - Slack: A Slack node posts a pre-formatted message to the assigned Slack channel
   
   Why This Workflow Matters
   
   This automated system transforms reactive prospecting into proactive market engagement. Instead of relying on periodic manual searches or outdated lists, your team receives real-time property leads filtered on meaningful investment criteria — all without lifting a finger.
   
   Benefits of this workflow:
   - Filter out irrelevant properties through automation
   - Detect changes in market data over time
   - Eliminate manual research and data entry
   - Notify your team instantly with actionable intelligence
   - Scale your lead generation across multiple cities by cloning and modifying the workflow
   
   Customizing the Workflow
   
   This n8n workflow is inherently modular and customizable. You can easily modify:
   - Search criteria (e.g., cities, price ranges, equity thresholds)
   - Notification methods (e.g., add CRM integration or text messages)
   - Alert recipients and formats
   - Property types (SFR, multifamily, condos, etc.)
   
   Setup requirements include valid API credentials for BatchData, an SMTP configuration for sending emails, and Slack credentials for sending messages.
   
   Conclusion
   
   Automation is no longer a luxury in the real estate industry — it’s a necessity. This “Real Estate Market Scanning” workflow leverages the strengths of n8n and BatchData to give your team a true competitive edge. With streamlined data pulling, smart filtering, and instant notifications, you’ll never miss a high-equity absentee-owned property again.
   
   More time closing. Less time hunting. Welcome to the future of automated real estate lead generation.
   
   🔗 Interested in building this for yourself? Get started with n8n at https://n8n.io and explore BatchData at https://batchdata.com.

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.