beautifulsoup4-4.9.2.tar.gz资源-CSDN文库

需积分: 1 181 浏览量 2024-03-03 13:15:20 上传评论收藏 367KB GZ 举报

共54个文件

py：25个

txt：8个

rst：5个

资源推荐

资源详情

资源评论

收起资源包目录

beautifulsoup4-4.9.2.tar.gz （54个子文件）

beautifulsoup4-4.9.2

TODO.txt 1KB

convert-py3k 546B

setup.py 2KB

doc

Makefile 5KB

source

index.rst 117KB

check_doc.py 697B

conf.py 8KB

6.1.jpg 22KB

LICENSE 1KB

test-all-versions 56B

PKG-INFO 5KB

doc.ptbr

Makefile 5KB

source

index.rst 115KB

conf.py 8KB

6.1.jpg 22KB

COPYING.txt 1KB

doc.ru

Makefile 5KB

source

index.rst 478B

conf.py 8KB

6.1.jpg 22KB

bs4ru.rst 155KB

NEWS.txt 58KB

bs4

__init__.py 31KB

dammit.py 33KB

testing.py 45KB

builder

__init__.py 19KB

_lxml.py 12KB

_html5lib.py 18KB

_htmlparser.py 18KB

diagnose.py 8KB

tests

__init__.py 27B

test_builder_registry.py 5KB

test_docs.py 1KB

test_soup.py 29KB

test_htmlparser.py 4KB

test_lxml.py 4KB

test_html5lib.py 7KB

test_tree.py 87KB

formatter.py 6KB

element.py 80KB

MANIFEST.in 219B

setup.cfg 38B

beautifulsoup4.egg-info

SOURCES.txt 1KB

top_level.txt 4B

PKG-INFO 5KB

requires.txt 122B

dependency_links.txt 1B

README.md 3KB

doc.zh

Makefile 5KB

source

index.rst 94KB

conf.py 8KB

6.1.jpg 22KB

scripts

demonstrate_parser_differences.py 3KB

demonstration_markup.txt 3KB

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("SomebadHTML") >>> print(soup.prettify()) <html> <body> Some bad HTML </body> </html> >>> soup.find(text="bad") 'bad' >>> soup.i HTML # >>> 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](http://www.crummy.com/software/BeautifulSoup/bs4/doc/). # Links * [Homepage](http://www.crummy.com/software/BeautifulSoup/bs4/) * [Documentation](http://www.crummy.com/software/BeautifulSoup/bs4/doc/) * [Discussion group](http://groups.google.com/group/beautifulsoup/) * [Development](https://code.launchpad.net/beautifulsoup/) * [Bug tracker](https://bugs.launchpad.net/beautifulsoup/) * [Complete changelog](https://bazaar.launchpad.net/~leonardr/beautifulsoup/bs4/view/head:/CHANGELOG) # Note on Python 2 sunsetting Since 2012, Beautiful Soup has been developed as a Python 2 library which is automatically converted to Python 3 code as necessary. This makes it impossible to take advantage of some features of Python 3. For this reason, I plan to discontinue Beautiful Soup's Python 2 support at some point after December 31, 2020: one year after the sunset date for Python 2 itself. Beyond that point, new Beautiful Soup development will exclusively target Python 3. Of course, older releases of Beautiful Soup, which support both versions, will continue to be available. # Supporting the project If you use Beautiful Soup as part of your professional work, please consider a [Tidelift subscription](https://tidelift.com/subscription/pkg/pypi-beautifulsoup4?utm_source=pypi-beautifulsoup4&utm_medium=referral&utm_campaign=readme). This will support many of the free software projects your organization depends on, not just Beautiful Soup. If you use Beautiful Soup for personal projects, the best way to say thank you is to read [Tool Safety](https://www.crummy.com/software/BeautifulSoup/zine/), a zine I wrote about what Beautiful Soup has taught me about software development. # 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 ``` 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, then create a temporary Python 3 conversion of the source and run the unit tests again under Python 3.

评论收藏

内容反馈