Developed and delivered the NetApp Video and Collection Metadata Extraction feature for the yt-dlp repository, focusing on expanding platform coverage and improving metadata quality. This work involved implementing new extractors using Python, leveraging API integration and data parsing techniques to retrieve and process video metadata from NetApp’s media platform. The solution was designed to align with yt-dlp’s existing extractor architecture, ensuring maintainability and consistency across the codebase. By enabling faster and more accurate content discovery and downstream processing for NetApp content, the feature addressed user needs for richer metadata and enhanced the platform’s indexing and search capabilities without introducing regressions.