Meta's Muse is fantastic for web scraping

A developer shares how they use Meta's Muse AI tool to automate web scraping and data collection for their project, fullsets.fm. The author finds the tool highly effective for scanning large volumes of content on platforms like YouTube and Reddit.
Why it matters
It highlights the practical, non-consumer application of AI agents in automating complex data aggregation tasks for niche web projects.
I haven’t found much use for the personal assistant part of Muse. People on X (Twitter) keep using these assistants to order DoorDash or something. I order DoorDash like five times a year, so that’s not going to speed anything up for me. I also don’t get many emails, and managing my appointments is easy enough already.
What I do need is a bunch of data from Reddit and YouTube and a boatload of cheap AI tokens. That’s where Muse comes in handy. I’m building fullsets.fm , a side project that aggregates professionally recorded concerts (festival livestreams, Tiny Desk, etc.), organizes them by artist, and extracts tracklists. I’m looking for complete performances with good audio and video.
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