YouTube Downloader Bot

Project Showcase: A High-Performance Telegram YouTube Downloader Bot

In a digital world where content is king, the ability to access and manage media efficiently is paramount. This project showcases the development of a sophisticated, feature-rich Telegram YouTube Downloader Bot, engineered for performance, reliability, and an exceptional user experience. It’s more than just a downloader; it’s a comprehensive media tool designed to handle everything from quick audio conversions to large, high-definition video files with ease.

Project at a Glance

Category	Details
Project Name	Telegram YouTube Downloader Bot
Platform	Telegram Messenger
Status	✅ Live & Operational
Core Technology	Python 3
Key Libraries	python-telegram-bot, telethon, yt-dlp, aria2c, pydub, httpx
Key Features	Multi-Language Support, Video/Audio Downloading, Video Trimming, Large File Handling (>50 MB), Admin Panel
Database	SQLite 3 for persistent user data, download logs, and statistics.
Performance	Multi-threaded downloading with aria2c and high-speed, multi-worker uploads with telethon to bypass standard bot API limits.
Deployment	Deployed on a Linux server as a resilient systemd service, ensuring continuous uptime and automatic restarts.

For the Everyday User: Your Ultimate Media Companion

Ever wanted to save a YouTube video to watch offline, convert a lecture into an MP3 for your commute, or grab just a specific clip from a long video? This bot was built to make those tasks effortless.

Effortless Downloading

Simply send any YouTube link to the bot—whether it’s a full video, a Short, or a music track—and it instantly recognizes it. No commands, no confusion.

High-Quality Video & Audio

You’re in control. When you choose to download a video, the bot intelligently scans for all available resolutions and presents them to you with their corresponding file sizes. For audio lovers, the bot extracts the best possible quality and converts it to a high-fidelity 320 Kbps MP3, perfect for any listening device.

Precision Video Trimming

Why download a two-hour video when you only need a 30-second clip? Our intuitive trim function lets you specify the exact start and end times (e.g., 00:01:10 - 00:02:45). The bot then asks if you want the final clip as a video or an audio file, giving you complete creative control.

No More File Size Errors

One of the biggest frustrations with other bots is their inability to handle large files. This bot was engineered to overcome that. By seamlessly switching to a high-performance transfer protocol for files larger than 50 MB, you can reliably download videos up to 2 GB.

A Global Bot

From the very first interaction, the bot offers a personalized experience with a multi-language interface, supporting users from around the world.

For the Technologist: A Technical Deep Dive

This project was an exercise in building a robust, scalable, and high-performance application. The architecture and technology stack were chosen to solve specific challenges related to API limitations, performance, and user management.

Core Architecture

The bot is built on a modular and decoupled architecture. Functions are separated by concern—handlers for user interaction, utilities for YouTube processing, a dedicated file handler, a database module, and an admin panel—making the codebase clean, maintainable, and easy to update.

Hybrid API Approach for Performance

The primary challenge was overcoming Telegram’s 50 MB upload limit for standard bots. This was solved by implementing a hybrid API approach:

• Telegram Bot API (python-telegram-bot): Used for all standard interactions (receiving messages, sending text, managing keyboards) due to its simplicity and efficiency for small tasks.
• Telegram Core API (telethon): Used exclusively for uploading files larger than 50 MB. By authenticating as a user account with the provided API credentials, the bot can leverage the Core API’s ability to handle uploads up to 2 GB. This process is completely seamless to the end-user.

Optimizing Download and Upload Speeds

To match the performance of a high-speed server, two key utilities were integrated:

1. aria2c Downloader: yt-dlp was configured to use aria2c as its external downloader. This allows the bot to fetch videos from YouTube’s servers using multiple parallel connections, dramatically reducing download times.
2. Multi-Worker Uploads: The telethon client is configured to use up to 16 workers for a single file upload, saturating the server’s bandwidth to make the upload process as fast as possible.

Persistent Data and User Management

A SQLite database serves as the single source of truth for all persistent data. This is a significant upgrade from flat-file storage, providing relational integrity and efficient querying for:

• User Management: Storing user IDs, selected language preferences, and blocked status.
• Statistics: Logging every download to enable detailed analytics, such as total users, daily active users, and language distribution, all accessible through the admin panel.

Resilient Deployment

The application is deployed as a systemd service on a Linux VPS. This ensures:

• Automatic Startup: The bot automatically starts when the server reboots.
• High Availability: The service is configured to restart automatically after a 5-second delay if the process ever crashes, ensuring maximum uptime.
• Centralized Logging: All application output is managed by journald, allowing for easy monitoring and debugging with standard system commands like journalctl.