loongson/pypi/: beautifulsoup4-4.6.3 metadata and description

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Screen-scraping library

author Leonard Richardson
author_email leonardr@segfault.org
classifiers
  • Development Status :: 5 - Production/Stable
  • Intended Audience :: Developers
  • License :: OSI Approved :: MIT License
  • Programming Language :: Python
  • Programming Language :: Python :: 2.7
  • Programming Language :: Python :: 3
  • Topic :: Text Processing :: Markup :: HTML
  • Topic :: Text Processing :: Markup :: XML
  • Topic :: Text Processing :: Markup :: SGML
  • Topic :: Software Development :: Libraries :: Python Modules
description_content_type text/markdown
download_url http://www.crummy.com/software/BeautifulSoup/bs4/download/
license MIT
provides_extras lxml
requires_dist
  • html5lib ; extra == 'html5lib'
  • lxml ; extra == 'lxml'
File Tox results History
beautifulsoup4-4.6.3-py2-none-any.whl
Size
91 KB
Type
Python Wheel
Python
2
  • Replaced 1 time(s)
  • Uploaded to loongson/pypi by loongson 2025-04-09 10:14:06

Beautiful Soup is a library that makes it easy to scrape information from web pages. It sits atop an HTML or XML parser, providing Pythonic idioms for iterating, searching, and modifying the parse tree.

Quick start

  >>> from bs4 import BeautifulSoup
  >>> soup = BeautifulSoup("<p>Some<b>bad<i>HTML")
  >>> print soup.prettify()
  <html>
   <body>
    <p>
     Some
     <b>
      bad
      <i>
       HTML
      </i>
     </b>
    </p>
   </body>
  </html>
  >>> soup.find(text="bad")
  u'bad'

  >>> soup.i
  <i>HTML</i>

  >>> soup = BeautifulSoup("<tag1>Some<tag2/>bad<tag3>XML", "xml")
  >>> print soup.prettify()
  <?xml version="1.0" encoding="utf-8">
  <tag1>
   Some
   <tag2 />
   bad
   <tag3>
    XML
   </tag3>
  </tag1>

To go beyond the basics, comprehensive documentation is available.

Links

Building the documentation

The bs4/doc/ directory contains full documentation in Sphinx format. Run make html in that directory to create HTML documentation.

Running the unit tests

Beautiful Soup supports unit test discovery from the project root directory:

 $ nosetests
 $ python -m unittest discover -s bs4 # Python 2.7 and up

If you checked out the source tree, you should see a script in the home directory called test-all-versions. This script will run the unit tests under Python 2.7, then create a temporary Python 3 conversion of the source and run the unit tests again under Python 3.