parse5vspyquery

MIT 34 7 3,886

419.4 million (month) Jul 03 2013 8.0.0(2026-02-21 19:30:52 ago)

2,381 5 55 NOASSERTION

Dec 05 2008 2.0 million (month) 2.0.1(2024-08-30 08:12:22 ago)

parse5 is a Node.js library for parsing and manipulating HTML and XML documents. It is designed to be fast and flexible, and it is commonly used in web scraping and web development projects.

parse5 is used by popular libraries such as Angular, Lit, Cheerio and many more. Unlike Cheerio parse5 is a low level html parsing library that might be useful directly in web scraping without higher level abstraction.

PyQuery is a Python library for working with XML and HTML documents. It is similar to BeautifulSoup and is often used as a drop-in replacement for it.

PyQuery is inspired by javascript's jQuery and uses similar API allowing selecting of HTML nodes through CSS selectors. This makes it easy for developers who are already familiar with jQuery to use PyQuery in Python.

Unlike jQuery, PyQuery doesn't support XPath selectors and relies entirely on CSS selectors though offers similar HTML parsing features like selection of HTML elements, their attributes and text as well as html tree modification.

PyQuery also comes with a http client (through requests) so it can load and parse web URLs by itself.

Highlights

css-selectors

Example Use

```javascript const parse5 = require("parse5"); // parse string const document = parse5.parse('Hello World!'); console.log(document); // html tree can be traversed as javascript object: const body = document.childNodes[1]; console.log(body.childNodes[0].value); // "Hello World!" // and modified const newElement = parse5.parseFragment('

New Element

'); body.appendChild(newElement.childNodes[0]); console.log(parse5.serialize(document)); ```

```python from pyquery import PyQuery as pq # this is our HTML page: html = """ Hello World!

Product Title

paragraph 1

paragraph2

$10

""" doc = pq(html) # we can use CSS selectors: print(doc('#product .price').text()) "$10" # it's also possible to modify HTML tree in various ways: # insert text into selected element: print(doc('h1').append('discounted')) "

Product Titlediscounted

" # or remove elements doc('p').remove() print(doc('#product').html()) """

Product Titlediscounted

$10 """ # pyquery can also retrieve web documents using requests: doc = pq(url='http://httpbin.org/html', headers={"User-Agent": "webscraping.fyi"}) print(doc('h1').html()) ```