This article provides a complete, practical walkthrough of the Http Manual 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:  
   Building Interactive LINE Bots with n8n: Reply and Push Message Integration
   
   Meta Description:  
   Learn how to create a responsive LINE chatbot using n8n. This tutorial explains how to handle incoming messages and send replies or push notifications using the LINE Message API.
   
   Keywords:  
   n8n workflow, LINE Message API, chatbot automation, webhook integration, reply token, push message, no-code automation, HTTP request, LINE bot development, n8n tutorial
   
   Third-Party APIs Used:
   
   - LINE Messaging API (https://api.line.me)
   
   Article:
   
   Creating a LINE Chatbot with n8n: A Step-by-Step Demo
   
   In today’s world of digital communication, businesses are increasingly adopting messaging platforms to engage more effectively with their customers. Among these platforms, LINE stands out as a popular choice in parts of Asia, boasting over 200 million active users globally. This article walks you through an n8n workflow that demonstrates how to integrate with the LINE Messaging API to build an interactive chatbot that can reply to user messages and send push notifications.
   
   We will break down the n8n workflow named "line message api demo" and explain its components, functionality, and how you can replicate it for your own automation processes.
   
   📨 What Does the Workflow Do?
   
   This n8n workflow covers two major use cases of LINE bot communication:
   
   1. Automatically replying to any text message sent by a user via LINE.
   2. Sending a proactive message (push message) to a specific user via their LINE user ID.
   
   These operations are made possible by leveraging LINE’s HTTP-based Messaging API endpoints combined with n8n’s workflow automation capabilities.
   
   🏗️ Workflow Structure Overview
   
   The workflow is divided into two branches:
   
   1. Reply Flow: Triggered by incoming messages from LINE users.
   2. Push Message Flow: Triggered manually for testing message broadcasting using a known LINE user ID.
   
   Let’s walk through each part.
   
   🔔 Part 1: Replying to Incoming LINE Messages
   
   1. Webhook Trigger ("Webhook from Line Message"):
      
      The workflow uses the n8n Webhook node to expose an HTTP POST endpoint. This is where LINE sends events — like when a user messages your bot. The incoming data contains message content, user information, and a critical replyToken needed to respond.
   
   2. Conditional Check ("If"):
   
      Not all LINE events are messages. The “If” node checks whether the event type is "message" using:
      ```javascript
      $json.body.events[0].type === "message"
      ```
   
      This ensures your bot only attempts to reply to actual messages, not system events like "follow", "unfollow", or "join".
   
   3. Send Reply ("Line: Reply with token"):
   
      If it's a valid message event, this node sends a POST request to https://api.line.me/v2/bot/message/reply using the reply token. The message returned echoes the user’s original message with:
      ```javascript
      "收到您的訊息 : [user text]"
      ```
      (Translation: "Received your message: [user text]")
   
      The call is authenticated using a token set up with the generic HTTP Header credentials in n8n. This token must be a valid LINE Channel Access Token.
   
   🧪 Part 2: Sending Push Messages Manually
   
   1. Manual Trigger ("When clicking ‘Test workflow’"):
   
      Ideal for testing, this node allows manual workflow execution from the n8n UI.
   
   2. Define User ID ("Edit Fields"):
   
      This Set node assigns a fixed line_uid (e.g., Uxxxxxxxxxxxx), representing the user who will receive the push message. Note: To push messages to a user, your bot must have an existing relationship with them, such as being added as a friend.
   
   3. Send Push Notification ("Line: Push Message"):
   
      A second HTTP request sends a message—“推播測試” ("Push Test")—to the designated LINE user using:
      ```http
      POST https://api.line.me/v2/bot/message/push
      ```
   
      As with the reply, this request uses the same access token for authorization.
   
   🧠 Best Practices & Considerations
   
   - Storing User IDs: Create a user management system if you're interacting with multiple LINE users, especially to manage user IDs (UIDs).
   - Event Filtering: Expand your “If” condition logic to support sticker/image handling or to route messages to different actions.
   - Error Handling: Build "Catch" paths or use n8n’s try/catch functionality to gracefully handle failed API calls.
   
   🛠️ Tools & Technologies Used
   
   - n8n: The low-code automation tool powering the workflow orchestration.
   - LINE Messaging API: A REST-based API to interact with users on LINE platform.
   
   🌐 Conclusion
   
   This n8n workflow offers a hands-on introduction to integrating the LINE Messaging API, empowering you to build intelligent bots that can receive messages and send responses or broadcasts. Whether you're developing a customer support bot, notification system, or just experimenting with automation, this setup gives you a foundational architecture to build upon.
   
   Start by connecting your LINE Developer account with n8n, secure your access token, and you're ready to build your first full-featured LINE bot—all without writing a single line of backend code.
   
   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.