Building a YouTube Downloader with FastAPI and yt-dlp
Building a YouTube Downloader with FastAPI and yt-dlp
In this comprehensive guide, we'll build a modern YouTube video downloader using FastAPI and yt-dlp. Our application will feature a clean web interface, real-time download progress tracking, and robust error handling to deal with YouTube's evolving anti-scraping measures.
🎯 What We'll Build
- Modern Web Interface: Clean, responsive UI with Bootstrap
- Real-time Progress Tracking: Live download progress updates
- Format Selection: Choose from various video/audio quality options
- Task Management: View, monitor, and manage download tasks
- Error Handling: Robust handling of YouTube's restrictions
- File Management: Secure file serving and downloads
🛠️ Tech Stack
- Backend: FastAPI (Python)
- Video Processing: yt-dlp
- Database: SQLite with SQLAlchemy
- Frontend: HTML, CSS, JavaScript, Bootstrap
- Real-time Updates: Polling-based progress tracking
📋 Prerequisites
Before we start, make sure you have:
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🏗️ Project Structure
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🗄️ Database Models
Let's start by defining our database models:
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🎬 YouTube Downloader Core
The heart of our application is the YouTube downloader class:
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🚀 FastAPI Application
Now let's build our FastAPI application:
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4. Download Web Preview
When running the script, you should see output like:
Analyze video url

Select your preferred format

Check download progress

5. Performance Testing
Monitor server performance during downloads:
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🔮 Future Enhancements
- Playlist Support: Download entire playlists
- User Authentication: Multi-user support
- Download Scheduling: Queue and schedule downloads
- Cloud Storage: Integration with cloud storage services
- Mobile App: React Native or Flutter mobile app
- Docker Support: Containerized deployment
📝 Conclusion
We've built a comprehensive YouTube downloader that combines the power of FastAPI and yt-dlp with a modern web interface. The application handles YouTube's evolving restrictions gracefully and provides a smooth user experience with real-time progress tracking.
The modular architecture makes it easy to extend with additional features like playlist support, user authentication, or cloud storage integration. The robust error handling ensures the application remains stable even when facing YouTube's anti-scraping measures.
🔗 Resources
- This Project Code
- FastAPI Documentation
- yt-dlp GitHub Repository
- SQLAlchemy Documentation
- Bootstrap Documentation
Happy coding! 🚀, see you🚀