![]() Lets you do things like combine two parsed documents: You can also pass a BeautifulSoup object into one of the methodsĭefined in Modifying the tree, just as you would a Tag. Navigating the tree and Searching the tree. This means it supports most of the methods described in For most purposes, you can treat it as a Tag The BeautifulSoup object represents the parsed document as a Reference to the entire Beautiful Soup parse tree, even when you’reĭone using Beautiful Soup. If you don’t, your string will carry around a You should call unicode() on it to turn it into a normal Python If you want to use a NavigableString outside of Beautiful Soup, Tag may contain a string or another tag), strings don’t support the In particular, since a string can’t contain anything (the way a Navigating the tree and Searching the tree, but not all of NavigableString supports most of the features described in replace_with ( "No longer bold" ) tag # No longer bold You can pass in a string or an open filehandle: To parse a document, pass it into the BeautifulSoupĬonstructor. See Differencesīetween parsers for details. Note that if a document is invalid, different parsers will generateĭifferent Beautiful Soup trees for it. If you can, I recommend you install and use lxml for speed. This table summarizes the advantages and disadvantages of each parser library:īeautifulSoup(markup, "lxml-xml") BeautifulSoup(markup, "xml") Depending on your setup, you might install html5lib You might install lxml with one of these commands:Īnother alternative is the pure-Python html5lib parser, which parses HTML the way a Library, but it also supports a number of third-party Python parsers. Installing a parser ¶īeautiful Soup supports the HTML parser included in Python’s standard I use Python 3.10 to develop Beautiful Soup, but it should work with Tarball, copy its bs4 directory into your application’s codebase,Īnd use Beautiful Soup without installing it at all. Package the entire library with your application. If all else fails, the license for Beautiful Soup allows you to If you don’t have easy_install or pip installed, you canĭownload the Beautiful Soup 4 source tarball and Lots of software usesīS3, so it’s still available, but if you’re writing new code you The previous major release, Beautiful Soup 3. (The BeautifulSoup package is not what you want. (these may be named pip3 and easy_install3 respectively). Right version of pip or easy_install for your Python version With the system packager, you can install it with easy_install or Install Beautiful Soup with the system package manager:īeautiful Soup 4 is published through PyPi, so if you can’t install it If you’re using a recent version of Debian or Ubuntu Linux, you can ĭoes this look like what you need? If so, read on. get_text ()) # The Dormouse's story # The Dormouse's story # Once upon a time there were three little sisters and their names were # Elsie, # Lacie and # Tillie # and they lived at the bottom of a well. It’s part of a story from Alice in Wonderland: Here’s an HTML document I’ll be using as an example throughout thisĭocument. When reporting an error in this documentation, please mention which Your problem involves parsing an HTML document, be sure to mention ![]() If you have questions about Beautiful Soup, or run into problems, This documentation has been translated into other languages byĮste documento também está disponível em Português do Brasil. Soup 3 and Beautiful Soup 4, see Porting code to BS4. If you want to learn about the differences between Beautiful ![]() If so, you should know that Beautiful Soup 3 is no longer beingĭeveloped and that all support for it was dropped on Decemberģ1, 2020. You might be looking for the documentation for Beautiful Soup 3. This documentation were written for Python 3.8. This document covers Beautiful Soup version 4.12.1. How to use it, how to make it do what you want, and what to do when it I show you what the library is good for, how it works, These instructions illustrate all major features of Beautiful Soup 4, With your favorite parser to provide idiomatic ways of navigating, Python library for pulling data out of HTML and XML files.
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