Build Your Own Telegram Echo Bot with n8n
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Instantly create a functional Telegram echo bot using n8n. This workflow allows you to see the raw JSON data of any message sent to your bot, making it an invaluable tool for learning and debugging Telegram interactions.
About This Workflow
This n8n workflow provides a straightforward way to set up a Telegram echo bot. Once activated, it listens for any incoming message or interaction on your Telegram bot. The bot then processes this data and immediately sends back the complete JSON object of the received message. This direct reflection of incoming data is perfect for understanding the structure of Telegram messages, testing bot functionality, and diagnosing issues. It’s an essential tool for developers looking to gain deeper insights into the Telegram platform's API and message handling.
Key Features
- Effortless Setup: Get your Telegram echo bot running in minutes with pre-configured nodes.
- Full Data Visibility: Receive the complete JSON payload of every incoming message.
- Flexible Interaction: Responds to messages, stickers, emojis, files, and more.
- Learning & Debugging: Ideal for understanding Telegram API data and troubleshooting.
- Customizable Credentials: Easily integrate your own Telegram bot token.
How To Use
- Add Telegram Bot Credentials: In both the
Listen for incoming eventsandSend back the JSON content of the messagenodes, configure your Telegram bot's API token. - Activate the Workflow: Ensure the workflow is switched to 'Active'.
- Send a Message: Interact with your Telegram bot by sending any type of message (text, sticker, file, etc.).
- Observe the Echo: The bot will immediately send back the raw JSON data of your message, formatted for readability.
Apps Used
Workflow JSON
{
"id": "040eff6d-3e37-4831-b78e-1918e835111a",
"name": "Build Your Own Telegram Echo Bot with n8n",
"nodes": 9,
"category": "DevOps",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 040eff6d-3e37...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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