fast python port of arc90's readability tool, updated to match latest readability.js!
HTML Python Makefile
Pull request Compare This branch is 45 commits behind buriy:master.
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Failed to load latest commit information.
readability
tests
.gitignore
Makefile
README
setup.py

README

This code is under the Apache License 2.0.  http://www.apache.org/licenses/LICENSE-2.0

This is a python port of a ruby port of arc90's readability project

http://lab.arc90.com/experiments/readability/

In few words,
Given a html document, it pulls out the main body text and cleans it up.
It also can clean up title based on latest readability.js code.

Based on:
 - Latest readability.js ( https://github.com/MHordecki/readability-redux/blob/master/readability/readability.js )
 - Ruby port by starrhorne and iterationlabs
 - Python port by gfxmonk ( https://github.com/gfxmonk/python-readability , based on BeautifulSoup )
 - Decruft effort to move to lxml ( http://www.minvolai.com/blog/decruft-arc90s-readability-in-python/ )
 - "BR to P" fix from readability.js which improves quality for smaller texts.
 - Github users contributions.

Installation::

    easy_install readability-lxml
    or
    pip install readability-lxml

Usage::

    from readability.readability import Document
    import urllib
    html = urllib.urlopen(url).read()
    readable_article = Document(html).summary()
    readable_title = Document(html).short_title()

Command-line usage::

    python -m readability.readability -u http://pypi.python.org/pypi/readability-lxml


Using positive/negative keywords example::

    python -m readability.readability -p intro -n newsindex,homepage-box,news-section -u http://python.org


Document() kwarg options:

 - attributes:
 - debug: output debug messages
 - min_text_length:
 - retry_length:
 - url: will allow adjusting links to be absolute
 - positive_keywords: the list of positive search patterns in classes and ids, for example: ["news-item", "block"]
 - negative_keywords: the list of negative search patterns in classes and ids, for example: ["mysidebar", "related", "ads"]


Updates

 - 0.2.5 Update setup.py for uploading .tar.gz to pypi
 - 0.2.6 Don't crash on documents with no title
 - 0.2.6.1 Document.short_title() properly works
 - 0.3 Added Document.encoding, positive_keywords and negative_keywords