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A fast HTML5 parser with CSS selectors, written in Cython, using the Lexbor engine.

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Installation

From PyPI using pip:

pip install selectolax

If installation fails due to compilation errors, you may need to install Cython:

pip install selectolax[cython]

This usually happens when you try to install an outdated version of selectolax on a newer version of Python.

Development version from GitHub:

git clone --recursive  https://github.com/rushter/selectolax
cd selectolax
pip install -r requirements_dev.txt
python setup.py install

How to compile selectolax while developing:

make clean
make dev

Basic examples

Here are some basic examples to get you started with selectolax:

Parsing HTML and extracting text:

from selectolax.lexbor import LexborHTMLParser

html = """
<h1 id="title" data-updated="20201101">Hi there</h1>
<div class="post">Lorem Ipsum is simply dummy text of the printing and typesetting industry. </div>
<div class="post">Lorem ipsum dolor sit amet, consectetur adipiscing elit.</div>
"""
tree = LexborHTMLParser(html)

print(tree.css_first('h1#title').text())
# 'Hi there'

print(tree.css_first('h1#title').attributes)
# {'id': 'title', 'data-updated': '20201101'}

print([node.text() for node in tree.css('.post')])
# ['Lorem Ipsum is simply dummy text of the printing and typesetting industry. ',
#  'Lorem ipsum dolor sit amet, consectetur adipiscing elit.']

Using advanced CSS selectors

from selectolax.lexbor import LexborHTMLParser

html = "<div><p id=p1><p id=p2><p id=p3><a>link</a><p id=p4><p id=p5>text<p id=p6></div>"
selector = "div > :nth-child(2n+1):not(:has(a))"

for node in LexborHTMLParser(html).css(selector):
    print(node.attributes, node.text(), node.tag)
    print(node.parent.tag)
    print(node.html)
# {'id': 'p1'}  p
# div
# <p id="p1"></p>
# {'id': 'p5'} text p
# div
# <p id="p5">text</p>

Using lexbor-contains CSS pseudo-class to match text

from selectolax.lexbor import LexborHTMLParser
html = "<div><p>hello </p><p id='main'>lexbor is AwesOme</p></div>"
parser = LexborHTMLParser(html)
# Case-insensitive search
results = parser.css('p:lexbor-contains("awesome" i)')
# Case-sensitive search
results = parser.css('p:lexbor-contains("AwesOme")')
assert len(results) == 1
assert results[0].text() == "lexbor is AwesOme"

• More examples

Simple Benchmark

• Extract title, links, scripts and a meta tag from main pages of top 754 domains. See examples/benchmark.py for more information.

Links

• Changelog
• selectolax API reference and examples
• Video introduction to web scraping using selectolax
• How to Scrape 7k Products with Python using selectolax and httpx
• Lexbor benchmark
• Python benchmark
• Another Python benchmark
• Universal interface to lxml and selectolax

License

• lexbor engine — Apache-2.0 license
• selectolax - MIT

Contributors

Thanks to all the contributors of selectolax!