This article provides a complete, practical walkthrough of the Http Emailreadimap Send Webhook 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:  
   Automate Your Inbox: Summarize Emails Using AI and Send to LINE Messenger with n8n
   
   Meta Description:  
   Save time by automating your email summaries with AI using n8n. Learn how to fetch emails, summarize them intelligently with OpenRouter.ai, and send key updates directly to LINE Messenger.
   
   Keywords:  
   n8n workflow, AI email summarizer, LINE Messenger automation, OpenRouter.ai, IMAP email automation, email summary chatbot, automate reading email, Open-source automation, AI productivity tools, LINE API integration
   
   Third-Party APIs Used:
   
   1. IMAP Email Server — To fetch emails from your mailbox.
   2. OpenRouter.ai API — Used to summarize email content via a free version of Meta’s LLaMA 3.1 70B Instruct model.
   3. LINE Messaging API — To push the summarized content to the user via LINE Messenger.
   
   Article:
   
   📧 Automate Your Inbox: Summarize Emails Using AI and Send to LINE Messenger with n8n
   
   If your inbox is growing faster than you can clear it, you're not alone. The average professional receives over 100 emails per day—many of which are low-priority noise. But what if an automated system could read, evaluate, and deliver only the actionable summaries straight to your phone?
   
   Thanks to n8n, an open-source workflow automation tool, that dream is now reality. In this article, we’ll walk you through a smart automation workflow that:
   
   - Retrieves incoming emails via IMAP  
   - Uses an AI agent through OpenRouter.ai to summarize and prioritize messages  
   - Pushes the summarized information directly to the user via LINE Messenger
   
   Let’s explore how this automation works in detail.
   
   🔧 Tools and APIs Used
   
   This powerful workflow connects three distinct services:
   
   1. IMAP (Email): To read incoming emails.
   2. OpenRouter.ai: A gateway for accessing various language models, including Meta’s free LLaMA 3.1-70B Instruct for summarization.
   3. LINE API: Push summarized messages to your smartphone via the LINE messaging platform.
   
   📥 Step 1: Fetch Emails with IMAP
   
   The workflow kicks off with n8n’s built-in “Read Emails (IMAP)” node. With your email credentials plugged in, this node scans your inbox for unread messages. If you use Gmail, there’s a handy guide for configuring IMAP settings provided directly in the workflow.
   
   n8n supports a range of options, allowing you to customize email filters, post-processing actions, and formatting, but this particular workflow keeps it simple for widespread compatibility.
   
   🧠 Step 2: Summarize Emails with AI
   
   Once emails are fetched, each message is sent to OpenRouter.ai through an HTTP request. This is where the magic happens.
   
   The payload instructs the AI model (meta-llama/llama-3.1-70b-instruct:free) to deeply analyze the email. Here's what the AI is programmed to do:
   
   - Generate a short summary (under 10 words) for non-important messages
   - Mark important and urgent emails with emojis and formatting
   - Extract actionable items
   - Highlight deadlines in bold for quick visibility
   
   The AI even takes the user’s cognitive load into account, ensuring that only meaningful tasks like signups, payments, or confirmations show up in your resulting notification.
   
   ⚠️ Pro Tip: The API authentication uses header-based credentials:
   - Username: Authorization  
   - Password: Bearer YOUR_API_KEY  
   
   📲 Step 3: Push Summaries to LINE Messenger
   
   After the AI finishes summarizing the content, the workflow sends it to your LINE Messenger via a second HTTP request. But there's a twist: the official LINE node in n8n is outdated, so the workflow uses a custom HTTP request instead.
   
   This request includes:
   - A fixed user ID to specify the recipient  
   - A JSON payload containing the AI-generated summary  
   - Proper header-based authorization using your LINE channel access token
   
   Instructions to retrieve the access token are provided via a sticky note in the workflow itself, along with a reminder to avoid using the deprecated official LINE node.
   
   🗒️ Sticky Notes and In-Workflow Documentation
   
   One of the most useful aspects of this n8n workflow is how well-documented it is. Sticky Notes serve as embedded instructions for:
   
   - Setting up IMAP with examples (linked to Gmail setup)
   - Registering for OpenRouter.ai (free accounts available)
   - Properly formatting credentials
   - Safely integrating the LINE API
   
   🧩 Why This Workflow is a Game-Changer
   
   Think about how much time you spend scanning low-priority emails, digging for deadlines, and forwarding messages to yourself to act upon later. This workflow acts like a personal assistant who:
   
   - Checks your mailbox
   - Flags what’s important
   - Sifts out the spam
   - And sends you only what matters
   
   All while using free services and open-source tools.
   
   💡 Who is This For?
   
   This automation is perfect for:
   
   - Busy professionals with overloaded inboxes
   - Parents keeping track of school updates (as showcased in the use-case blog: “How A.I. Saved My Kid’s School Life and My Marriage”)
   - Startup founders needing to ensure no important investor or client email slips through
   - Students managing multiple accounts and alerts
   
   📌 Final Thoughts
   
   This n8n workflow demonstrates how automation and AI can reclaim hours from your week. It’s a low-cost, no-code solution that unifies efficiency, intelligence, and real-world usability.
   
   If your goal is to focus only on what matters—and stay truly connected without being bogged down—this might be your next favorite automation project.
   
   🔗 Try it out, and give your inbox (and your mind) a much-needed break.
   
   —  
   Ready to build this workflow for yourself? Start with n8n, configure your APIs, and enjoy the freedom from inbox overwhelm.

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.