GitHub - buriy/python-readability: fast python port of arc90's readability tool, updated to match latest readability.js! (original) (raw)

python-readability

Given an HTML document, extract and clean up the main body text and title.

This is a Python port of a Ruby port of arc90's Readability project.

Installation

It's easy using pip, just run:

$ pip install readability-lxml

As an alternative, you may also use conda to install, just run:

$ conda install -c conda-forge readability-lxml

Usage

import requests from readability import Document

response = requests.get('http://example.com') doc = Document(response.content) doc.title() 'Example Domain'

doc.summary() """

\n

\n

Example Domain

\n

This domain is established to be used for illustrative examples in documents. You may use this\n domain in examples without prior coordination or asking for permission.

More information...

Change Log

• 0.8.4 Better CJK support, thanks @cdhigh
• 0.8.3.1 Support for python 3.8 - 3.13
• 0.8.3 We can now save all images via keep_all_images=True (default is to save 1 main image), thanks @botlabsDev
• 0.8.2 Added article author(s) (thanks @mattblaha)
• 0.8.1 Fixed processing of non-ascii HTMLs via regexps.
• 0.8 Replaced XHTML output with HTML5 output in summary() call.
• 0.7.1 Support for Python 3.7 . Fixed a slowdown when processing documents with lots of spaces.
• 0.7 Improved HTML5 tags handling. Fixed stripping unwanted HTML nodes (only first matching node was removed before).
• 0.6 Finally a release which supports Python versions 2.6, 2.7, 3.3 - 3.6
• 0.5 Preparing a release to support Python versions 2.6, 2.7, 3.3 and 3.4
• 0.4 Added Videos loading and allowed more images per paragraph
• 0.3 Added Document.encoding, positive_keywords and negative_keywords

Licensing

This code is under the Apache License 2.0 license.

Thanks to

• Latest readability.js
• Ruby port by starrhorne and iterationlabs
• Python port by gfxmonk
• Decruft effort to move to lxml
• "BR to P" fix from readability.js which improves quality for smaller texts
• Github users contributions.