Telegram Message Parser Bot

Overview

This Python script uses a Pyrogram to analyze messages from Telegram channels and send them to a Fast API or another server. If a failure occurs during message delivery (status code is not 200), it saves the message in a JSON file and tries again after successful delivery of a new received message from the telegram channel.

Installation

Requirements

• Python 3.12
• Poetry

Installation Steps

1. Clone the repository:

   git clone https://github.com/one-zero-eight/telegram-userbot-parser.git
   cd telegram-userbot-parser

2. Install dependencies using Poetry:

   poetry install --with code-style
   

3. Getting the API for the user bot:

   • go to the website https://core.telegram.org/api/obtaining_api_id and use the account to get the API. Be sure to write down the api_id and api_hash that you will receive on the site.
   • Create a Python file and use this code to get your session file to use user bot. write down your data in api_id and api_hash. Run this file and go through all the necessary steps. You can read more here https://docs.pyrogram.org/intro/quickstart

         import asyncio
         from pyrogram import Client
     
         api_id = 12345
         api_hash = "0123456789abcdef0123456789abcdef"
     
     
         async def main():
             async with Client("my_account", api_id, api_hash) as app:
                 await app.send_message("me", "Greetings from **Pyrogram**!")
     
     
         asyncio.run(main())

4. Using the example .env.example, fill it in with your data. In the "url", specify the address of your server. In "PROGRAM_SESSION_STRING" - specify the name of your session file for program

5. Run the file pyrogram_parser.py

   python pyrogram_parser.py

Futures

• Parses messages from specified Telegram channels.
• Sends parsed data to a server via HTTP POST requests.
• Retries sending messages stored in a JSON file upon server error.

Technologies Used

• Python 3.12
• Pyrogram
• FastAPI
• httpx
• dotenv
• Docker, Docker Compose

License

This project is licensed under the MIT License - see the LICENSE file for details.