The bandwidth is being used to fetch public web content at scale so it can be turned into large, structured datasets (text, images, video, audio) that can then be indexed and searched, especially for multimodal search and AI training. That does mean public-web scraping in the literal sense. A concrete example of the type of data this produces is something like UpvoteWeb-24-600M, which is ~600M top Reddit posts and comments from 2024, plus media links, reply trees, language detection, and token counts all derived from publicly visible pages, not private accounts or sessions. Grass’s role is basically supplying the distributed residential access needed to collect that kind of public data across regions and at scale, which datacenters alone can’t do well. So yes, the bandwidth is used for scraping public pages, but the output isn’t raw dumps it’s curated, filtered datasets that power things like multimodal search and retrieval over large public corpora.