This article provides a complete, practical walkthrough of the Code Postgres Automate Triggered 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:
   Streamline Lead Qualification with n8n: Filtering and Syncing Data to Google Sheets
   
   Meta Description:
   Learn how to build an automated lead qualification workflow in n8n using a Postgres trigger, custom filters, and Google Sheets integration to save only non-n8n.io users. A perfect starter template for syncing CRM-ready leads.
   
   Keywords:
   n8n, automation, lead qualification, Google Sheets integration, workflow automation, Postgres trigger, email filter, user data sync, n8n tutorial, data integration, no-code automation
   
   Third-Party APIs Used:
   
   - PostgreSQL (via n8n Postgres trigger)
   - Google Sheets API (via Google Sheets node)
   
   Article:
   
   Automate Your Lead Qualification Process Using n8n and Google Sheets
   
   As businesses scale, managing leads and customer data efficiently becomes critical. Manual processes not only waste valuable time but also increase the risk of errors. That’s where workflow automation comes in. In this article, we’ll walk through a simple, effective n8n workflow that qualifies incoming users based on their email domains, filters out internal leads, and stores qualified contacts in a Google Sheet—ready for the sales or marketing team to act upon.
   
   What Is n8n?
   
   n8n is a powerful workflow automation platform that allows you to visually build and automate repetitive tasks across services using a node-based interface. You can connect APIs, databases, and cloud apps in minutes—without writing a single line of backend logic (though you can, if needed!).
   
   In this tutorial, we'll use n8n to create a workflow that:
   
   1. Listens for updates to user records in a Postgres database (disabled in this instance for demo purposes).
   2. Filters out users from internal domains (@n8n.io).
   3. Adds the remaining, qualified leads to a Google Sheet.
   
   Let’s explore how this works step-by-step.
   
   Step 1: Simulate a Trigger with Mock Data
   
   For testing purposes, the workflow uses a Manual Trigger node named “On clicking ‘Execute Node’,” connected to a Code node. This Code node simulates incoming user data:
   
   {
     "id": 1,
     "username": "max_mustermann",
     "email": "max_mustermann@acme.com",
     "company_size": "500-999",
     "role": "Sales",
     "users": 50
   }
   
   In a production scenario, this would be replaced by a Postgres Trigger node, which listens for UPDATE operations on the "users" table. However, since the trigger is currently disabled, the manual method makes workflow testing much easier for developers refining logic.
   
   Step 2: Filter Internal Users
   
   The data then flows to a Filter node. This simple node performs a string check on the email field:
   
   email does not contain "@n8n.io"
   
   This condition ensures that internal test or employee accounts don't get pushed into the next step. It’s a lightweight yet powerful way to qualify leads based on domain-based rules.
   
   Pro Tip: n8n supports more complex conditionals using Code or Logic nodes. You can also enrich user data before filtering using other integrations with services like Clearbit or Hunter.io.
   
   Step 3: Append Qualified Leads to a Google Sheet
   
   Qualified user data is written to a Google Sheet via the Google Sheets node. Specifically, the workflow chooses a document titled "Qualified leads to contact" and appends the new lead’s ID, username, and email to “Sheet1”.
   
   The operation is configured as "appendOrUpdate" using the “id” field as the unique identifier. This ensures users are added only once, and updates can be made dynamically if the same user record changes.
   
   This output can then be used by sales or customer success teams to prioritize communication with high-value leads—all without writing code or toggling between multiple systems.
   
   Bonus: Customization Tips
   
   - Want to send leads straight to Slack or HubSpot? Simply replace the Google Sheets node with your preferred destination using the n8n integrations for Slack, Pipedrive, or HubSpot.
   - Need more logic? Add a Code or Set node to transform or enrich the data before saving.
   - Want automated follow-ups? Include scheduling and email nodes such as Gmail, Mailgun, or SendGrid.
   
   Getting Started
   
   To try this template in your own n8n instance:
   
   1. Duplicate this Google Sheets template: [Qualified Leads Google Sheet](https://docs.google.com/spreadsheets/d/1gVfyernVtgYXD-oPboxOSJYQ-HEfAguEryZ7gTtK0V8/edit?usp=sharing)
   2. Connect your Google account credentials to the Google Sheets node in n8n.
   3. Update the Postgres Trigger node with your actual database details, and enable it.
   4. Modify the Filter and data transformation logic as needed for your use case.
   
   Conclusion
   
   This n8n template is a great starting point for automating your lead qualification process. By combining data filtering, database triggers, and powerful integrations, you can remove manual bottlenecks and ensure that only relevant leads are passed on to your internal systems or teams. Whether you're working in SaaS, e-commerce, or any data-driven business, this workflow helps you scale your operations with precision.
   
   Start building with n8n today and move one step closer to a truly automated business.
   
   —  
   Built with n8n: the extendable workflow automation tool that connects anything to everything.

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.