This is part 1 in a series of posts aimed at using the YT Data API to extract data, transform it into a workable dataset, and finally analyze success factors for videos in the tech/swe space. In other words, I want to understand what makes a video perform relatively well. But, of course, I need data first, so this post is all about getting the data.
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    Let's create a simple, grep-like command-line interface (CLI) that walks a directory structure and parses the text-based files to show what files contain the string provided to the CLI.
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