This article provides a complete, practical walkthrough of the Manual Functionitem Send 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 Body Parsing with n8n: A Simple Workflow for Structured Data Extraction
   
   Meta Description:  
   Learn how to parse structured data from email content using a custom n8n workflow. Extract fields like Name, Email, Subject, and Message with ease—no plugins or APIs required.
   
   Keywords:  
   n8n, email parser, email automation, workflow automation, structured data parsing, no-code automation, parse email body, n8n function node, email to database, aprenden8n
   
   Third-Party APIs Used:  
   None. This workflow operates entirely within n8n without the use of third-party APIs.
   
   Article:
   
   Automating Email Body Parsing with n8n: A Simple Workflow for Structured Data Extraction
   
   Parsing structured data from email content might seem like a complex task, often associated with advanced scripting or external API integrations. However, with n8n—an open-source workflow automation tool—you can achieve this effortlessly using built-in nodes and a bit of JavaScript logic. In this article, we explore a simple yet powerful n8n workflow called "Email body parser by aprenden8n.com" that demonstrates how to extract key information from text-based email bodies.
   
   What the Workflow Does
   
   This workflow is designed to manually trigger a parsing process on a predefined block of email text. It then extracts specified fields such as Name, Email, Subject, and Message using the n8n FunctionItem node. Such automation is ideal for scenarios like customer support ticketing systems, contact form parsing, or lead generation pipelines—especially when incoming emails follow a structured format.
   
   The Workflow Structure
   
   The workflow comprises three primary nodes:
   
   1. Manual Trigger Node ("On clicking 'execute'")  
      This node initiates the workflow manually, allowing users to test and debug the flow during development before wiring it up to actual email fetching services like Gmail or IMAP.  
   
   2. Set Node ("Set values")  
      This node simulates an incoming email by setting two key string parameters:
      
      - body: A sample string representing the content of the email, which includes typical fields like Name, Email, Subject, and Message.
      - labels: A CSV string listing the fields we want to extract from the body. For instance: "Name,Email,Subject,Message"
      
      Here’s the mock email body:
      ```
      Name: Miquel
      Email: miquel@aprenden8n.com
      Subject: Welcome aboard
      Message: Hi Miquel!
   
      Thank you for your signup!
      ```
   
   3. FunctionItem Node ("Email Parser Snippet")  
      The powerhouse of this workflow, this node contains a JavaScript snippet that dynamically parses the input string based on the labels provided. It scans the entire body text and searches for each label formatted as "Label: Value", extracting the values that follow.
   
      Key aspects of the function:
      - It loops through the list of labels.
      - For each label, it constructs a regular expression to match the "Label: Value" pattern.
      - It trims and assigns the extracted value to a result object.
      - Finally, it returns a structured object that maps each label to its corresponding value.
   
   Example Output
   
   Here’s what the final parsed output from the Email Parser node might look like:
   
   ```json
   {
     "Name": "Miquel",
     "Email": "miquel@aprenden8n.com",
     "Subject": "Welcome aboard",
     "Message": "Hi Miquel!\n\nThank you for your signup!"
   }
   ```
   
   This JSON structure can now be passed onto other workflow steps, such as saving the data to a Google Sheet, sending it to a CRM, logging it in a database, or even triggering custom email responses.
   
   Why Use This Approach?
   
   - No Third-Party APIs Required: The parsing is done entirely within n8n using its native JavaScript capabilities.
   - Flexible Labeling: The labels array makes it easy to customize which fields to extract, adding modularity to the process.
   - Ideal for Formatted Inputs: Many email templates, especially from contact forms, follow a consistent structure. This makes them ripe for structured parsing.
   - Build-on Opportunities: This workflow serves as a foundation you can build upon by adding email fetch nodes (like Gmail, IMAP, or Microsoft Outlook), or connecting it to other services for actions like follow-up emails or data storage.
   
   Conclusion
   
   With just a few nodes, this n8n workflow elegantly converts unstructured email content into structured data, ready for further automation. Whether you're managing leads, customer feedback, or internal forms, automating this mundane task helps scale operations without increasing complexity.
   
   If you're new to n8n or looking to expand your low-code/no-code automation capabilities, this simple email parser demonstrates how flexible and powerful n8n can be. And the best part? No external APIs or paid services required—just pure automation.
   
   🔗 For more tutorials and workflows like this one, be sure to visit aprenden8n.com.
   
   Happy automating!

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.