This article provides a complete, practical walkthrough of the Manual Debughelper Create 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:
   Automating Email Validation and Domain Extraction with n8n: A No-Code Solution
   
   Meta Description:
   Discover how to automate email validation and domain extraction using native functions in n8n with no third-party APIs. Learn how this simple workflow improves data quality using built-in tools.
   
   Keywords:
   n8n email validation, n8n workflow automation, email domain extraction, no-code email processing, validate email n8n, extract domain n8n, automation tools, native email tools n8n
   
   Third-Party APIs Used:
   None – this workflow uses only native n8n functionalities and built-in nodes.
   
   Article:
   
   Automating Email Validation and Domain Extraction with n8n: A No-Code Solution
   
   In the age of digital communication, data quality is paramount—especially when dealing with user-submitted emails. This article walks through an easy-to-implement n8n (pronounced "n-eight-n") workflow designed to validate email addresses and extract domain names using only powerful native features—no third-party APIs required.
   
   If you're looking to improve your email data hygiene or pull domain insights from email addresses in real-time, you’ll love how quickly this workflow can be integrated into your system.
   
   Why Email Validation Matters
   
   Validating email addresses helps ensure the integrity of your user data and prevents issues related to typos, spam, or fake addresses. Email domain extraction takes it a step further by offering value-added insights into which domains your users are coming from—whether personal (like Gmail) or corporate.
   
   This is essential for segmentation, targeting, or fraud prevention workflows.
   
   Overview of the Workflow
   
   This n8n workflow performs the following functions:
   
   - Generates test email data (or accepts real user email input)
   - Validates whether each email is syntactically correct
   - Extracts the domain part of each email
   - Outputs organized, enriched email information
   
   All of this is accomplished using built-in functions within n8n, making it a fast, cost-effective, and privacy-conscious solution.
   
   Let’s break it down step by step.
   
   1. Manual Trigger: Kickstart the Workflow
   
   The workflow begins with a “Manual Trigger” node labeled:
   “When clicking ‘Test workflow.’”
   
   This node is especially helpful in test mode or when manually observing data as it flows through the system. For real-world implementation, this could easily be replaced with a webhook or Cron trigger node to respond to submissions or schedules.
   
   2. Generate Random Email Data (for Testing Purposes)
   
   The “Generate random data” node uses n8n’s built-in debug helper to simulate a list of email addresses.
   
   Sample data includes examples like:
   
   - Megan.Lueilwitz@yahoo.com  
   - Tommie70@yahoo.com  
   - Constance.Markshotmail.com (note the missing “@” for error testing)
   
   This sample dataset is versatile for development and testing. In production, this node should be replaced by your actual data source—such as a signup form, database query, or CRM pull.
   
   3. Validate Email + Extract Domain
   
   The core logic lies in the “Set these fields to extract domain” node.
   
   Here, two built-in JavaScript methods are used:
   
   - isEmail(): Validates whether the provided email is syntactically correct.
   - extractDomain(): Pulls out the domain part after the “@” in the email.
   
   For instance:
   
   - Input: Marcus.Considine64@yahoo.com  
   - Output:  
     - Valid Email: true  
     - Extracted Domain: yahoo.com
   
   And for Constance.Markshotmail.com (a malformed email with no “@”):
   
   - Valid Email: false  
   - Extracted Domain: null
   
   These expressions are added inside the “Set” node as JavaScript snippets using the double curly syntax {{ }}:
   
   - Valid Email: {{ $json.email.isEmail() }}
   - Extract Domain: {{ $json.email.extractDomain() }}
   
   This ensures that the workflow not only checks for email correctness but also enriches the data for downstream workflows.
   
   4. Replace Test Node for Production
   
   The developers have included a sticky note within the workflow reminding users to replace the test data node with real production data. This is easily done by swapping the “Generate random data” node with a data source node, such as Google Sheets, Airtable, Webhook, or any supported native integration.
   
   Why This Workflow Rocks
   
   ✅ No-Code & Fast to Deploy  
   Thanks to n8n’s visual, drag-and-drop environment, non-developers and developers alike can implement this in just minutes.
   
   ✅ No Third-Party APIs  
   Forget API limits, privacy concerns, or payments to validation services. The isEmail() and extractDomain() methods work natively within n8n using JavaScript.
   
   ✅ Reusability  
   This workflow can be easily integrated into signup pipelines, marketing automation, CRM deduplication processes, and more.
   
   ✅ Extensibility  
   Add filters, conditional logic, or data storage nodes (e.g., MySQL, Google Sheets) to extend this basic structure.
   
   Use Cases
   
   - Data cleaning during user form submissions
   - Email segmentation for newsletter campaigns
   - Fraud detection by whitelisting/blacklisting domains
   - CRM automation to tag users by email domain (e.g., company vs. free mail)
   
   How to Get Started
   
   You can build this workflow from scratch using the steps above or copy/import the JSON into your n8n instance.
   
   Final Thoughts
   
   With this workflow, you can quickly validate user emails and extract domains using only native tools inside n8n. Whether you are a no-code enthusiast or a seasoned developer, this solution simplifies a common but crucial task—directly within your automation environment.
   
   No APIs. No coding required. Just clean, structured, and useful email data at your fingertips.
   
   Ready to build smarter workflows? Start by validating your first email address in n8n today.
   
   —  
   Looking for more n8n tutorials? Stay tuned for automation recipes, integrations, and real-world workflow ideas!

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.