selectolax logo

A fast HTML5 parser with CSS selectors using Modest engine.

Installation

From PyPI using pip:

pip install selectolax

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

In [1]: from selectolax.parser import HTMLParser
   ...:
   ...: 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 = HTMLParser(html)

In [2]: tree.css_first('h1#title').text()
Out[2]: 'Hi there'

In [3]: tree.css_first('h1#title').attributes
Out[3]: {'id': 'title', 'data-updated': '20201101'}

In [4]: [node.text() for node in tree.css('.post')]
Out[4]:
['Lorem Ipsum is simply dummy text of the printing and typesetting industry. ',
 'Lorem ipsum dolor sit amet, consectetur adipiscing elit.']
In [1]: 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))"

In [2]: for node in HTMLParser(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>

Simple Benchmark

  • Average of 10 experiments to parse and retrieve URLs from 800 Google SERP pages.
Package Time Memory (peak)
selectolax 2.38 sec. 768.11 MB
lxml 18.67 sec. 769.21 MB

Links

License

GitHub

https://github.com/rushter/selectolax