Metadata-Version: 1.1
Name: PyReadability
Version: 0.4.0
Summary: fast python port of arc90's readability tool
Home-page: http://github.com/hyperlinkapp/python-readability
Author: Yuri Baburov
Author-email: burchik@gmail.com
License: Apache License 2.0
Description: 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
        
Platform: UNKNOWN
Classifier: Environment :: Web Environment
Classifier: Intended Audience :: Developers
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
