cheeriovspyquery

MIT 40 13 30,265

80.4 million (month) Oct 08 2011 1.2.0(2026-02-21 19:30:40 ago)

2,381 5 55 NOASSERTION

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

cheerio is a popular JavaScript library that allows you to interact with and manipulate HTML and XML documents in a similar way to how you would with jQuery in a browser. It is a fast, flexible, and lean implementation of core jQuery designed specifically for the server.

One of the main benefits of using cheerio is that it allows you to use jQuery-like syntax to navigate and m anipulate the Document Object Model (DOM) of an HTML or XML document, making it easy to work with.

cheerio supports CSS selectors though not XPath.

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 cheerio = require('cheerio'); const $ = cheerio.load('My title

Hello World!

'); // use css selectors console.log($('title').text()); // My title console.log($('.name').text()); // Hello World! // select multiple elements const $ = cheerio.load('

item 1
item 2

'); $('li').each(function(i, elem) { console.log($(this).text()); }); // modify elements const $ = cheerio.load('

Hello World!

'); $('h1').text('Hello, Cheerio!'); console.log($.html()); ```

```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()) ```