This article provides a complete, practical walkthrough of the Telegram Wait Create 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:
   How to Build a Telegram Ticketing System with n8n and Redis Database
   
   Meta Description:
   Discover how to automate a Telegram-based support ticketing system using n8n, Redis, and Telegram’s API. Streamline support, protect chat history, and enable team collaboration effortlessly.
   
   Keywords:
   n8n Telegram integration, Telegram ticketing system, n8n workflow tutorial, Telegram bot support system, Telegram forum topic tickets, Redis Telegram bot storage, automate Telegram support, n8n Redis integration, chatbot ticket system Telegram, support automation n8n
   
   Third-Party APIs Used:
   
   - Telegram Bot API (https://api.telegram.org)
   - Redis (for in-memory key-value storage via n8n’s Redis node)
   - Coolify.io (optional: for hosting Redis easily, mentioned in documentation)
   
   — — —
   
   Article:
   
   ⚙️ Building a Telegram Ticketing System with n8n, Redis & Telegram Bot API
   
   In a world of instant messaging and real-time customer support, businesses are seeking ways to provide fast and reliable assistance on platforms customers already use — like Telegram. This article explores how to build an automated Telegram-based ticketing system using the low-code automation tool n8n, the Telegram Bot API, and Redis for data storage.
   
   Using this approach, messages sent by users initiate a structured support request, which are forwarded to a Telegram group structured like a helpdesk. Team members can then respond within Telegram, and replies are automatically forwarded back to the users. This seamless process improves transparency, preserves message history, and enhances collaboration — all without altering code.
   
   🚀 Why Automate Telegram Support?
   
   Managing client support on Telegram can be chaotic:
   
   - Chats are linear and unstructured.
   - Users and support agents might delete messages, erasing valuable history.
   - Account sharing is common for support teams, risking security and privacy.
   
   This workflow solves all these issues with:
   
   - A unique support ticket per user inside a Telegram group (using forum topics).
   - Data storage in Redis to retain ticket status and user context.
   - Automated user-specific broadcasting and secure message handling.
   
   Let’s dive into the various components of this system.
   
   🔧 Workflow Overview
   
   The n8n flow creates three main support "sides":
   
   1. User Side (Customer):
      - Listens for incoming messages via the Telegram Trigger node.
      - Filters messages from private users.
      - Saves user data to Redis.
      - Creates a new ticket/topic in the support group and forwards the initial message.
   
   2. Support Side (Team/Agent):
      - When an agent replies within the Telegram support group (in the right topic), the message is automatically forwarded back to the originating user.
      - Replies retain context, even if support members don’t have access to individual chat threads.
   
   3. Broadcast Side (Channel Announcements):
      - When an admin posts in a verified broadcast channel, the message is automatically copied to all previously engaged users, bypassing blocked ones.
      - This allows brands to reach users with updates, promotions, or alerts in a managed, automated fashion.
   
   🛠 Telegram Bot & Redis Setup
   
   To get started, you’ll need:
   
   - A Telegram Bot Token from @BotFather.
   - A Support Group and a Broadcast Channel in Telegram:
     - Add your bot to both and grant it admin permissions.
   - Redis Database:
     - Either self-hosted or deployed via user-friendly platforms like Coolify.io.
   - n8n Instance:
     - Self-hosted, desktop, or cloud version.
   
   n8n handles the logic and sequencing of actions using visual workflows — a huge win for non-developers.
   
   🗃 Data Management with Redis
   
   User messages and ticket information are stored in Redis as hash maps using keys prefixed with TG-USER- followed by the user’s Telegram ID. This data includes:
   
   - Chat ID
   - First/Last name
   - Ticket (forum topic) ID
   - Block status
   - Any additional metadata
   
   By storing this data temporarily in Redis (a RAM-based key-value store), the bot can quickly route future messages or broadcast announcements without introducing slow database queries.
   
   🧵 Forum Topics as Ticket Threads
   
   A unique feature of this system is leveraging Telegram’s forum topics — a way to create individual discussion threads inside a group, which act as support tickets.
   
   Each ticket is named based on the user's first name and chat ID (e.g., “[John] - [id:123456]”), making it easy for support agents to identify who needs help. Deleted or closed threads are detected and auto-recreated when necessary.
   
   📬 Reliable Message Forwarding
   
   All user messages are forwarded into their dedicated forum topic. Replies from support team members are correctly matched and routed back — even if replies are made to forwarded messages within topics. If a topic doesn't exist anymore (e.g., accidentally deleted by the team), the system recognizes the error and automatically creates a new one.
   
   📢 Broadcasting with Filters
   
   For mass notifications, the broadcast side identifies posts from the Telegram broadcast channel and replicates them to previously active users using Telegram's copyMessage API. It respects Telegram’s API rate limits (max 29 messages per second per bot) by batching and inserting wait nodes.
   
   Additionally, blocked users are filtered out to avoid unnecessary errors and false impressions.
   
   🧠 Smart Design Highlights
   
   - Redis keys are used to match user-info and tickets efficiently.
   - Messages are formatted and sanitized to prevent JSON syntax issues.
   - All communication stays within Telegram — no need for third-party chat tools.
   - Supports team collaboration by letting agents use their own Telegram accounts.
   
   🗓️ Coming Improvements (from Dev Notes)
   
   - Message editing: Updates to original forwarded messages when a user edits them.
   - Advanced lead capture: Optionally force new users to fill forms before chatting.
   - Admin tools for ticket management (closing, assigning).
   
   🔚 Conclusion
   
   By combining the powerful automation engine of n8n with Telegram's flexibility and Redis's speed, you create a scalable, reliable, and team-friendly support solution — without writing heavy backend code. Whether you're an e-commerce brand, community manager, or solo service provider, this Telegram ticketing workflow can revolutionize your client communications.
   
   If you'd like faster deployment or professional assistance, consider deploying Redis via Coolify.io and integrating with your external CRM using n8n’s many integrations.
   
   Start empowering your Telegram team — the low-code way. ⚡
   
   — — —
   
   Want to extend this idea? Integrate Google Sheets, Airtable or HubSpot to track tickets. Enhance your broadcast campaigns with AI content. Or embed the system in a larger customer success automation — the possibilities with n8n are endless!

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.