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Beautiful Soup
Original author(s)Leonard Richardson
Initial release2004
Stable release
Written inPython
TypeHTML parser library, Web scraping
LicensePython Software Foundation License (Beautiful Soup 3 - an older version) MIT License 4+[1]

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Free Parsing Software

Beautiful Soup is a Python package for parsing HTML and XML documents (including having malformed markup, i.e. non-closed tags, so named after tag soup). It creates a parse tree for parsed pages that can be used to extract data from HTML,[2] which is useful for web scraping.[1]

Beautiful Soup was started by Leonard Richardson, who continues to contribute to the project,[3] and is additionally supported by Tidelift, a paid subscription to open-source maintenance.[4]

It is available for Python 2.7 and Python 3.

  1. !/usr/bin/env python3
  2. Anchor extraction from HTML document

Advantages and Disadvantages[edit]

This table summarizes the advantages and disadvantages of each parser library[1]

ParserTypical usageAdvantagesDisadvantages
Python’s html.parserBeautifulSoup(markup, 'html.parser')
  • Moderately fast
  • Lenient (As of Python 2.7.3 and 3.2.)
  • Not as fast as lxml, less lenient than html5lib.
lxml’s HTML parserBeautifulSoup(markup, 'lxml')
  • Very fast
  • Lenient
  • External C dependency
lxml’s XML parser

BeautifulSoup(markup, 'lxml-xml')
BeautifulSoup(markup, 'xml')

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  • Very fast
  • The only currently supported XML parser
  • External C dependency
html5libBeautifulSoup(markup, 'html5lib')
  • Extremely lenient
  • Parses pages the same way a web browser does
  • Creates valid HTML5
  • Very slow
  • External Python dependency


Free Parsing Software


Beautiful Soup 3 was the official release line of Beautiful Soup from May 2006 to March 2012. The current release is Beautiful Soup 4.9.1 (May 17, 2020).
You can install Beautiful Soup 4 with pip install beautifulsoup4.

See also[edit]


  1. ^ abc'Beautiful Soup website'. Retrieved 18 April 2012. Beautiful Soup is licensed under the same terms as Python itself
  2. ^Hajba, Gábor László (2018), Hajba, Gábor László (ed.), 'Using Beautiful Soup', Website Scraping with Python: Using BeautifulSoup and Scrapy, Apress, pp. 41–96, doi:10.1007/978-1-4842-3925-4_3, ISBN978-1-4842-3925-4
  3. ^'Code : Leonard Richardson'. Launchpad. Retrieved 2020-09-19.
  4. ^Tidelift. 'beautifulsoup4 pypi via the Tidelift Subscription'. tidelift.com. Retrieved 2020-09-19.

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