youtube-search

To search YouTube videos and return structured metadata, you can use a query-based search tool that retrieves the title, views, author, duration, date, and URL for each result. This approach formats the video metadata into a concise, readable Markdown table for easy sharing and reporting.

Yes, you can get YouTube search results formatted as a Markdown table for quick reporting. By executing a query-based search, the tool extracts video metadata such as title, views, and author, then formats the output into a structured Markdown table for content researchers and marketers.

You can use yt-dlp to extract video metadata for dataset preparation by running a query-based search that retrieves structured video information. It collects the title, views, author, duration, date, and URL, formatting the results into a Markdown table to prepare concise datasets for analysis.

Yes, this YouTube search method supports adjusting the number of returned results. It enforces a default of five results per query while allowing you to set an adjustable maximum of up to twenty results, ensuring you can control the volume of video metadata retrieved for your briefs.

The best way to curate YouTube video metadata for content research briefs is using an automated query-based search that extracts title, views, author, duration, date, and URL. Formatting these search results into a Markdown table saves time and provides quick access to concise video information.

When retrieving YouTube video metadata with yt-dlp, limitations include a strict maximum of twenty results per query. The tool is designed for concise reporting and dataset preparation, enforcing a default of five results to ensure the Markdown table output remains readable and structured.