Manual Send Triggered – Marketing & Advertising Automation | Complete n8n Triggered Guide (Simple)
This article provides a complete, practical walkthrough of the Manual Send Triggered n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Simple setup in 5-15 minutes. One‑time purchase: €9.
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
- Open n8n and create a new workflow or collection.
- Choose Import from File or Paste JSON.
- Paste the JSON below, then click Import.
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Show n8n JSON
Title: How to Extract a Domain from an Email Using n8n: A Simple No-Code Workflow Meta Description: Learn how to use n8n, an open-source workflow automation tool, to extract the domain portion of an email address with a straightforward no-code workflow. Perfect for email parsing and data enrichment tasks. Keywords: n8n, email automation, domain extraction, email parsing, no-code workflow, workflow automation, extract domain from email, n8n function node Third-Party APIs Used: None – this workflow uses only built-in n8n nodes without external API integrations. — Article: In today's world of automated workflows and data processing, handling user information efficiently is critical. One common task in many automation pipelines is parsing email addresses to extract useful information — like the domain name. Whether you're segmenting your mailing list, monitoring company sign-ups, or cleaning data sets, extracting the domain from an email address is a powerful way to organize and act on user data. In this article, we're going to walk through how to build a simple n8n workflow that extracts the domain name from a given email address — without writing complex code or relying on third-party APIs. 🛠️ What Is n8n? n8n is an open-source workflow automation tool that lets you connect applications and automate tasks using a visual, node-based interface. It's extremely powerful for technical and non-technical users alike, especially those who prefer a no-code or low-code solution. Think of it as an extensible, self-hosted alternative to Zapier or Integromat. 🔍 Use Case: Extracting Domains from Email Addresses Let’s say you want to identify which organizations are signing up for your service, or you’re performing email hygiene by sorting personal and corporate domains. By extracting the domain (@domain.com) part of the email address, you make this process easier and more automated. Let’s build the workflow. 🧩 The n8n Workflow: Step-by-Step Breakdown This workflow is composed of three nodes: 1. Manual Trigger 2. Sample Email Input 3. Domain Extraction with a Function Node Here's what each part does: 1. Manual Trigger Node This node is the starting point. It allows you to manually trigger the workflow execution – great for testing. 2. Set Node – “Sample email” Inside this node, we input a hardcoded sample email address: email@domain2.com. This mimics incoming data for the sake of this example. In a real-world setup, this part could be replaced with data from a form, database, or incoming webhook. 3. Function Node – “Extract domain name” This is the heart of the workflow. It takes the email field and uses a small snippet of JavaScript to extract everything after the @ symbol — the domain. Here’s the code used in the Function Node: ```javascript // Take email and extract the domain name var email = ($json["email"]); var name = email.substring(0, email.lastIndexOf("@")); var domain = email.substring(email.lastIndexOf("@") +1); //To display the final domain name. (result) return [{ json: { domain } }]; ``` This logic: - Retrieves the email string from the input. - Uses `substring()` and `lastIndexOf("@")` to find the characters after the "@" symbol. - Returns the domain in JSON format. 🎯 The Workflow in Action When you run this workflow by clicking “Execute Workflow” in n8n, the following steps occur: - The Manual Trigger activates the "Sample email" node. - The Set node injects the hardcoded email value "email@domain2.com". - The Function node processes that email and returns: ```json { "domain": "domain2.com" } ``` 📡 Real-World Applications You can adapt and scale this simple workflow to support a variety of use cases: - Processing incoming form submissions via Webhook triggers. - Enriching CRM records with data based on email domains. - Segmenting emails between personal (e.g., gmail.com) and corporate addresses. - Building analytics on where your users or prospects come from. 🔄 Extending the Workflow Once you have the domain, think about what else you can automate: - Cross-reference domain names with business databases (like Clearbit or Hunter). - Auto-tag customers in your CRM based on domain. - Check for known disposable email providers and remove them. You could even replace the Set node with a node that accepts input from: - Webhooks - Airtable - Google Sheets - Email triggers 💡 No External APIs Required It’s worth noting that this workflow does not use any third-party APIs. The logic is entirely handled inside n8n using built-in nodes and a small JavaScript snippet — making it lightweight, fast, and privacy-conscious. 🔐 Privacy Considerations Since you're not sending user email data to external services, this method of parsing domains is more in line with privacy best practices — especially useful when handling sensitive or regulated user data. 🧪 Try It Out If you want to experiment with this yourself: 1. Self-host n8n or use the cloud version. 2. Set up the three nodes exactly as described above. 3. Click "Execute Workflow" and see the output domain. It’s a great little automation to have in your toolkit! — Looking for more tips on n8n workflows or advanced data automations? Keep exploring, and automate smarter!
- Set credentials for each API node (keys, OAuth) in Credentials.
- Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
- 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.