Email body parser by aprenden8n.com

For aprenden8n.com, this manual workflow efficiently extracts key information from email bodies, such as names, emails, subjects, and messages, streamlining data processing and enhancing productivity.

7/8/2025
3 nodes
Medium
manualmediumfunctionitemcodecustom
Categories:
Manual TriggeredBusiness Process AutomationMedium Workflow
Integrations:
FunctionItem

Target Audience

This workflow is designed for:
- Email marketers looking to automate the extraction of key information from incoming emails.
- Customer support teams needing to parse customer inquiries efficiently.
- Developers who want to integrate email parsing into their applications using n8n.
- Small business owners who manage their own customer communications and want to streamline their processes.

Problem Solved

This workflow addresses the challenge of manually extracting important data from emails, such as names, emails, subjects, and messages. By automating this process, users can:
- Save time by reducing the need for manual data entry.
- Minimize errors associated with human input.
- Enhance productivity by allowing teams to focus on more critical tasks rather than parsing emails.

Workflow Steps

  • Manual Trigger: The workflow starts when the user clicks 'execute', initiating the process.
    2. Set Values: Predefined values are set, including a sample email body containing:
    - Name: Miquel
    - Email: [email protected]
    - Subject: Welcome aboard
    - Message: Hi Miquel! Thank you for your signup!
    Additionally, labels for parsing are defined: Name, Email, Subject, and Message.
    3. Email Parser Snippet: A JavaScript function is executed to parse the email body based on the defined labels. It searches for each label in the email body and extracts the corresponding information, returning an object with the parsed data.
  • Customization Guide

    Users can customize this workflow by:
    - Modifying the email body: Change the content of the 'body' field in the 'Set values' node to test with different email formats.
    - Adjusting labels: Update the 'labels' field to include any other relevant fields that need to be parsed from the email body.
    - Editing the parsing logic: Modify the functionCode in the 'Email Parser Snippet' node to accommodate different patterns or structures in the email body.
    - Integrating with other services: Connect additional nodes to send the parsed data to a CRM, database, or notification service for further processing.