Developed and integrated a new NASCAR Classics extractor for the yt-dlp/yt-dlp repository, enabling automated retrieval of video metadata and content from the NASCAR Classics website. The implementation leveraged Python for both data parsing and video extraction, adhering to the project’s standard extractor framework to ensure compatibility and maintain a consistent metadata schema. This addition improved the fidelity and searchability of NASCAR-related content, supporting downstream processing and expanding the range of supported video sources. The work focused on end-to-end validation of the extraction flow, enhancing the utility of yt-dlp for users seeking reliable access to NASCAR Classics video data.