Telegram Downloader 📁

Table of Contents

• About
• Getting Started
• Usage

About

This project is a Telegram bot designed for personal use, leveraging the local Telegram Bot API server to download large video files sent or forwarded to the bot, directly to a specified local directory.

It's a simple solution that doesn't require a desktop or graphical client, and maintains the original file name. It's particularly useful for forwarding large video files 🎬 to download onto a NAS system.

Getting Started

Docker Setup

Using Docker is the easiest way to set this up. Follow these steps:

1. Ensure Docker and Docker Compose are installed on your system.

2. Clone this repository and navigate to the project directory.

3. Set up your environment variables. You need to provide values for the following variables:

   Variable	Description
   TELEGRAM_API_ID	Your Telegram API ID. You can get this from my.telegram.org.
   TELEGRAM_API_HASH	Your Telegram API Hash. You can get this from my.telegram.org.
   TELEGRAM_LOCAL	Set this to true to use the local Telegram Bot API server.
   BOT_TOKEN	The token for your Telegram bot. You can create a new bot and get the token from BotFather.
   USER_ID	Your Telegram user ID. This is the user that is allowed to send files to be downloaded with the bot (usually yourself). If you don't know your ID, you can use the /info command on the bot.
   CHAT_ID	The ID of the chat that the bot is allowed to download from. This can be the same as your USER_ID if you want to send files directly via DM to the bot. If you don't know the chat ID, you can use the /info command on the bot.
   DOWNLOAD_TO_DIR	The output directory where you want to download the files to (e.g., your downloads folder).
   BOT_API_DIR	The directory where the local bot API stores its files. You can alternatively edit the docker-compose file to use a Docker volume instead. In my case, I wanted to store it in a specific directory.

   You can also set the environment variables in a .env file - just make sure to uncomment the env_file: .env lines in docker-compose.prod.yml.

4. Run the Docker Compose file for production:

   docker compose -f docker-compose.prod.yml up -d

   This command will start both services (local bot API and the bot).

5. Your bot should now be running. You can check the status of your Docker containers with:

   docker ps

Manual Setup

If you prefer a manual setup, follow these steps:

1. You can use docker-compose.dev.yml to run just the local bot API server. Alternatively, you can build it yourself if you wish.

2. Create a virtual environment:

   python -m venv venv

3. Activate the virtual environment:

   • On Windows:

     .\venv\Scripts\activate

   • On Unix or MacOS:

     source venv/bin/activate

4. Install the requirements:

   pip install -r requirements.txt

5. Create a .env file in the project root and add your environment variables. You can use the .example.env file as a template.

6. Run the bot:

   python run.py

This will start the bot in your local environment.

Usage

To use the bot, simply direct message it or add it to a group, depending on what you set as the CHAT_ID.

You can use the /help command to learn more about how to use the bot.

To download a video file, simply send/forward it to the bot. The bot will then ask you to confirm the download with a 'Yes' or 'No' button. Once you confirm, the bot will download the video file and notify you once the download is complete.