Original author(s) | Leonard Richardson |
---|---|
Initial release | 2004 |
Stable release | 4.10.0[1] ![]() |
Repository | |
Written in | Python |
Platform | Python |
Type | HTML parser library, Web scraping |
License | Python Software Foundation License (Beautiful Soup 3 - an older version) MIT License 4+[2] |
Website | www |
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,[3] which is useful for web scraping.[2]
Beautiful Soup was started by Leonard Richardson, who continues to contribute to the project,[4] and is additionally supported by Tidelift, a paid subscription to open-source maintenance.[5]
It is available for Python 2.7 and Python 3.
#!/usr/bin/env python3 # Anchor extraction from HTML document from bs4 import BeautifulSoup from urllib.request import urlopen with urlopen('https://en.wikipedia.org/wiki/Main_Page') as response: soup = BeautifulSoup(response, 'html.parser') for anchor in soup.find_all('a'): print(anchor.get('href', '/'))
Advantages and disadvantages of parsers[edit]
This table summarizes the advantages and disadvantages of each parser library[2]
Parser | Typical usage | Advantages | Disadvantages |
---|---|---|---|
Python’s html.parser | BeautifulSoup(markup, "html.parser") |
|
|
lxml’s HTML parser | BeautifulSoup(markup, "lxml") |
|
|
lxml’s XML parser |
BeautifulSoup(markup, "lxml-xml") |
|
|
html5lib | BeautifulSoup(markup, "html5lib") |
|
|
Release[edit]
Beautiful Soup 3 was the official release line of Beautiful Soup from May 2006 to March 2012. The current release is Beautiful Soup 4.x. Beautiful Soup 4 can be installed with pip install beautifulsoup4
.
See also[edit]
References[edit]
- ^ https://bazaar.launchpad.net/%7Eleonardr/beautifulsoup/bs4/view/head:/CHANGELOG; retrieved: 16 December 2021.
- ^ a b c "Beautiful Soup website". Retrieved 18 April 2012.
Beautiful Soup is licensed under the same terms as Python itself
- ^ 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, ISBN 978-1-4842-3925-4
- ^ "Code : Leonard Richardson". Launchpad. Retrieved 2020-09-19.
- ^ Tidelift. "beautifulsoup4 | pypi via the Tidelift Subscription". tidelift.com. Retrieved 2020-09-19.