This article provides a complete, practical walkthrough of the Manual Stickynote 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:
   Automating Message Delivery to Larksuite with n8n: A Step-by-Step Workflow
   
   Meta Description:
   Learn how to build an automated messaging workflow using n8n and the Larksuite API. This tutorial demonstrates how to authenticate with Lark, input parameters, and send messages—all without writing a single line of code.
   
   Keywords:
   n8n automation, Larksuite API, Lark token, send Lark message, no-code workflow, HTTP request, Lark chat_id, message automation, Hiroshi Digital, n8n tutorial
   
   Third-Party APIs Used in Workflow:
   1. Lark API (Tenant Access Token Authentication): https://open.larksuite.com/open-apis/auth/v3/tenant_access_token/internal
   2. Lark API (Send Message): https://open.larksuite.com/open-apis/message/v4/send/
   
   Article:
   
   Automating Larksuite Messaging with n8n: A Practical Workflow
   
   In today’s fast-paced digital workspace, automation has become a key enabler for increased productivity and streamlined communication. One platform standing out in the world of low-code/no-code automation is n8n. Its versatility allows users to automate complex workflows without writing traditional code. In this article, we walk through a practical n8n use case: sending a message automatically in Larksuite using an authenticated HTTP request sequence.
   
   Introduction to the Use Case
   
   The workflow described here automates the process of sending a predefined message to a Larksuite chat group using a token-based authentication system. It’s particularly useful for organizations that want to relay structured updates, links, or notifications via a Lark chat with minimal effort.
   
   Let’s break down how this system works and how you can implement it in your own automation stack.
   
   Workflow Overview
   
   The workflow titled "[hiroshidigital.com] Send Message In Larksuite" includes six main nodes:
   
   1. Manual Trigger
   2. Set Input Parameters
   3. Get Lark Access Token
   4. Send Lark Message
   5. Sticky Note for App ID/Secret Info
   6. Sticky Note for Chat ID Info
   
   Here’s a step-by-step walkthrough of what each component does:
   
   1. Manual Trigger
   
   The workflow starts manually—ideal for testing—by using the “Manual Trigger” node. This way, users can verify the functionality before deploying it in a production environment or scheduling it to run automatically.
   
   2. Input Node
   
   The next step involves using the “Set” node to define key parameters needed to interact with Larksuite's API:
   - app_id: The identifier of your Lark application.
   - app_secret: A secret token used for secure app authentication.
   - chat_id: The unique identifier of the group or conversation you want to message.
   - text: The message content—in this case, a link to https://hiroshidigital.com/.
   
   These values are critical for the authentication and message-sending processes, and they can all be retrieved from Lark’s developer portal.
   
   3. Retrieve Access Token
   
   With credentials set, the “HTTP Request” node named "Get Lark Token" is used to generate an access token. The POST request is sent to:
   
   https://open.larksuite.com/open-apis/auth/v3/tenant_access_token/internal
   
   The body of this request includes the app_id and app_secret. If validated successfully, it returns a tenant_access_token that allows authenticated interaction with Lark APIs.
   
   This token is not used directly in the traditional sense. Rather, it would typically be passed as a Bearer token in the Authorization header when making secure API calls. Although not explicitly shown in this workflow, the access token should generally be extracted from the response and dynamically supplied in the next request’s header.
   
   4. Send Message with Authorization Header
   
   The final functional step is sending a POST request to:
   
   https://open.larksuite.com/open-apis/message/v4/send/
   
   This step uses the "Send Message" HTTP request node. It sends a JSON payload that includes:
   - chat_id: indicating where the message should go.
   - msg_type: set to "text".
   - content: the actual text, which is the Hiroshi Digital website link in this case.
   
   Authentication is handled via n8n’s built-in credentials manager, using the type "httpHeaderAuth." This assumes the user has set up a corresponding credential object that includes the proper Authorization header using the tenant access token returned earlier.
   
   Note: While the workflow demonstrates basic credential use, for full automation, you'd ideally inject the token dynamically after fetching it in the previous step, possibly using n8n's expression or variable routing system.
   
   5 & 6. Developer Notes
   
   The last two are Sticky Note nodes providing helpful documentation:
   - One includes a link to obtain the app_id and app_secret on Lark’s developer portal.
   - The other references where to find or create a chat_id in the API Explorer.
   
   These are particularly useful in collaborative environments or when sharing the workflow with others who may not be familiar with Lark's authentication process.
   
   Use Cases and Flexibility
   
   This workflow can be repurposed for a wide range of applications:
   - Automated system or incident notifications
   - Scheduled push messages (by replacing the manual trigger with a time-based one)
   - Custom chatbot replies
   - Alerts from other n8n flows such as email parsing or webhook triggers
   
   Security Considerations
   
   Since this workflow handles authentication and messaging access, it’s critical to:
   - Keep your app_id and app_secret secure.
   - Use n8n’s built-in credential manager for production rather than hardcoding secrets.
   - Avoid exposing your access token in plain text or logs.
   
   Final Thoughts
   
   Whether you’re running a startup or managing internal team infrastructure, automating Lark messages using n8n can streamline communication and improve consistency. This workflow is an elegant, testable foundation for further automation and can be easily extended with additional steps such as conditional logic, message formatting, or multi-chat distribution.
   
   By combining the flexibility of n8n with the powerful features of the Larksuite API, developers and non-developers alike can build robust automation systems that align with their workplace productivity goals.
   
   Ready to get started? Head over to https://open.larksuite.com/ to create your app credentials and start building!

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.