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BeautifulSoup

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Beautiful Soup is a Python library for pulling data out of HTML and XML files, providing Pythonic idioms for navigating and searching parse trees.

Screenshot of BeautifulSoup website

Beautiful Soup is a versatile, beginner-friendly Python library for parsing HTML and XML documents and extracting data with an intuitive, Pythonic API.

Key Features:

  • Intuitive Navigation - Traverse parse trees using Pythonic dot notation and methods
  • Flexible Parsers - Works with html.parser, lxml, and html5lib backends
  • Powerful Search - Find elements by tag, class, ID, attributes, CSS selectors, or regex
  • Encoding Detection - Automatically detects and converts document encodings
  • Forgiving Parsing - Handles broken and malformed markup gracefully
  • Battle Tested - A Python parsing library with multiple parser backends

Whether you're learning web scraping, building data extraction scripts, or parsing complex HTML documents, Beautiful Soup provides HTML and XML parsing for Python.

Categories:
Features:
HTML ParsingXML ParsingCSS SelectorsStructured ExtractionOpen Source

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Source code

wention/BeautifulSoup4

Archived
  • Stars

    227
  • Forks

    66
  • Last commit

    2015-03-28
  • License

    MIT
  • Language

    Python

Metrics recorded 2026-10-16

Repository details

Last push: 2022-11-08

License source: Repository license file

View Repository

Frequently asked questions

What is Beautiful Soup used for?

Beautiful Soup is a Python library for extracting data from HTML and XML. It works with a parser and provides methods to navigate, search and modify the resulting document tree.

Sources (checked ): Beautiful Soup documentation

Is Beautiful Soup built in Python?

Beautiful Soup is a Python library installed separately as beautifulsoup4. Import BeautifulSoup from bs4. It can use Python’s built-in html.parser, but Beautiful Soup itself is not part of the standard library.

Sources (checked ): Installing Beautiful Soup and a parser

How do I scrape a page with Beautiful Soup?

Load the page’s HTML, parse it with BeautifulSoup, then select the elements containing the data you need. Read their text or attributes and save the results. Fetching pages and managing a crawl are separate parts of the workflow.

Sources (checked ): Beautiful Soup quick start

How can I extract text from an HTML document using Beautiful Soup?

Parse the HTML and call get_text() on the document or selected tag. A separator and strip=True can help turn nested text into a readable string.

Sources (checked ): get_text()

How can I extract data from a table using Beautiful Soup?

Select the table, iterate through its tr elements, and read each row’s th or td cells. Use get_text() for cell text or read attributes for links and other values.

Sources (checked ): Searching the document tree

Which is better, Scrapy or Beautiful Soup?

Beautiful Soup handles document parsing and extraction. Scrapy provides a crawling framework with request scheduling, spiders and export pipelines. For a small parsing task, Beautiful Soup may be sufficient; for a crawl, assess the surrounding features you would otherwise need to build.

Sources (checked ): Beautiful Soup; Scrapy overview

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Sources

github.com

Verified against the wention/BeautifulSoup4 repository and the PyPI package.