A reimplementation of the Readability algorithm using BeautifulSoup and html5lib.

It takes HTML and scores the markup structure in an attempt to divine which bits are a human-readable article instead of junk. It then rips out the junk and returns clean(ish) markup containing the most relevant bits of the page.

Well, most of the modern Python ports/conversions use lxml, which is fast and lenient but involves an extra dependency.

Since I needed a pure Python solution, I decided to take the bits I needed from the lxml implementations, re-factor the code to make it (a lot) easier to maintain, and back-port the whole thing to BeautifulSoup.

BeautifulSoup 3.x used SGMLParser, which was noticeably brain-dead on occasion, so yes. And that was one of the reasons it was slow, too.

But BeautifulSoup 4.x can use both lxml and html5lib, which is pure Python. Or, if you're using Python 2.7.3 (or 3.2.2), you can use the improved standard library html.parser, which is now more lenient.

But html5lib handles all sorts of corner cases automatically, so now I have the best of all worlds -- I can choose to use lxml for speed, stick to the standard library for simple stuff or html5lib for quirky parsing -- while keeping the ease of use that characterizes BeautifulSoup.

• More language hints (Portuguese, German, etc.)
• Score tuning
• "Learning" (i.e., persistent scoring of successful tag IDs and classes across invocations)
• URL and HREF handling (i.e., toss in an URL and it will fetch the page by itself, normalizing all HREFs afterwards) -- not done yet simply out of laziness, the utility functions are there
• Multi-page support (i.e., have it bolt on extra markup by divining links) -- a trifle harder

• kwellman's gist
• nirmalpatel's
• Sharmila Gopirajan's decruft
• mitechie's breadability
• buriy's python-readability - slighly better than gfxmonk's in my tests