Beautiful Soup (HTML parser)
Python HTML/XML parser From Wikipedia, the free encyclopedia
Beautiful Soup is a Python package for parsing HTML and XML documents, including those with malformed markup. It creates a parse tree for documents that can be used to extract data from HTML,[3] which is useful for web scraping.[2][4]
| Original author(s) | Leonard Richardson |
|---|---|
| Initial release | 2004 |
| Stable release | |
| Repository | |
| Written in | Python |
| Platform | Python |
| Type | HTML parser library, Web scraping |
| License |
|
| Website | www |
History
Beautiful Soup was started in 2004 by Leonard Richardson.[citation needed] It takes its name from the poem Beautiful Soup from Alice's Adventures in Wonderland[5] and is a reference to the term "tag soup" meaning poorly-structured HTML code.[6] Richardson continues to contribute to the project,[7] which is additionally supported by paid open-source maintainers from the company Tidelift.[8]
Versions
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.
In 2021, Python 2.7 support was retired and the release 4.9.3 was the last to support Python 2.7.[9]
Usage
Beautiful Soup represents parsed data as a tree which can be searched and iterated over with ordinary Python loops.[10]
Code example
The example below uses the Python standard library's urllib[11] to load Wikipedia's main page, then uses Beautiful Soup to parse the document and search for all links within.
#!/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", "/"))
Another example is using the Python requests library[12] to get divs on a URL.
import requests
from bs4 import BeautifulSoup
url = "https://wikipedia.com"
response = requests.get(url)
soup = BeautifulSoup(response.text, "html.parser")
headings = soup.find_all("div")
for heading in headings:
print(heading.text.strip())
See also
References
Wikiwand - on
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