Modified arc90's scraping hub port readability tool for dig data
pip install readability-dig==0.5
This code is under the Apache License 2.0. http://www.apache.org/licenses/LICENSE-2.0 This is a modfied for higher recall rate of famous python port(https://github.com/buriy/python-readability) a ruby port of arc90's readability project http://lab.arc90.com/experiments/readability/ https://github.com/buriy/python-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 ) - Python port by buriy (https://github.com/buriy/python-readability) - 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:: pip install readability-dig 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-dig To open resulting page in browser:: python -m readability.readability -b -u http://pypi.python.org/pypi/readability-dig 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"]