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How to Create a Telegram Bot on Replit

Updated on:
May 4, 2026
By:
Madhav Bhandari
Use this interactive demo to learn how to create a Telegram bot on Replit.

‍

This tutorial shows how to set up a Telegram bot project in Replit using the Agent and connect it to your Telegram account.

Note: You need a Telegram account and a bot token from @BotFather before your bot can connect. You need a Replit account to get started. Sign up at replit.com if you don't have one yet.

  1. Sign in to your account at replit.com. On the dashboard, click + Create Something New.
  2. In the prompt, describe what you want to build - for example, "A Telegram business assistant bot that answers questions, sends reminders, and manages a group." Click the Arrow button to run. The Agent automatically sets up the environment.
  3. Open Telegram, search for @BotFather, and type /newbot to create a new bot. Follow the prompts to name your bot and retrieve your token.
  4. When prompted in Replit, paste your token in the Agent workspace, then click Continue and + Add Account to Secrets to confirm. Alternatively, click the Secrets tab in the left sidebar, add a new key called TOKEN, and paste your token as the value.
  5. Click the Open Files icon in the top-right corner and click File tree. Review the generated project structure - Replit creates a main.py and a pyproject.toml by default.
  6. Click main.py to open it in the editor and review your bot logic.
  7. To add a new command, ask the Agent - for example, "Add a command that sends a weekly sales summary to the group." ‍
  8. Check the Console for confirmation that the bot is online, or open Telegram and test it directly in your bot chat.

📌 Why this matters

Creating a Telegram bot on Replit lets you quickly turn an idea into a working, interactive tool without setting up a local development environment. By connecting your bot to Telegram and managing your token securely with Secrets, you can safely build features like automated replies, reminders, and group management. This approach makes it easy to prototype, test, and iterate on real-world bot functionality, giving you a foundation to expand into more advanced use cases like integrations, scheduled tasks, or customer.

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