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YouTube Webscraper
Key Concepts:
Automation and Scripting
Programmatic Web Interaction
Input Abstraction
Error Handling and Reliability
File System Management
I built a YouTube web scraper designed to automate the process of collecting and downloading video content from YouTube based on user provided inputs such as individual videos, playlists, entire channels, and more. The tool was created to streamline repetitive workflows and eliminate the need for manual downloads.
The scraper programmatically retrieves metadata, resolves available video streams, and downloads content in the highest available quality while maintaining a simple and reusable interface. The project emphasized reliability, input validation, and automation, allowing the same logic to scale across different content sources without code duplication.
This project strengthened my understanding of programmatic web interaction, file handling, and automation workflows, while also highlighting the importance of designing developer tools that are both flexible and user friendly.
Core Technologies:
Python, Web scraping, Automation, File handling, CLI-based tooling
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