mozilla/fathom

Fathom is a supervised-learning system designed to recognize and classify parts of web pages, such as pop-ups, forms, and slideshows, by analyzing their DOM structure. It uses a Prolog-like language to define "smells" for each type and a neural-net-based trainer to optimize classification accuracy. This tool is ideal for developers and researchers working on web page analysis or automated content extraction.