The ProblemI’ve been using BeautifulSoup for sometime. It’s the standard for ease-of-use in Python scraping, but it almost always becomes the performance bottleneck when processing large-scale datasets.Parsing complex or massive HTML trees in Python typically suffers from high memory allocation costs and the overhead of the Python object model during tree traversal. In my production scraping workloads, the parser was consuming more CPU cycles than the network I/O. Lxml is fast but again uses up a lot of memory when processing large documents and has can cause trouble with malformed HTML.The SolutionI wanted to keep the API compatibility that makes BS4 great, but eliminates the overhead that slows down high-volume pipelines. It also uses html5ever which That’s why I built WhiskeySour. And yes… I *vibe coded the whole thing*.WhiskeySour is a drop-in replacement. You should be able to swap from "bs4 import BeautifulSoup" with "from whiskeysour import WhiskeySour" and see immediate speedup...