htmlparser2vspyquery
htmlparser2 is a Node.js library for parsing HTML and XML documents. It works by building a tree of elements, similar to the Document Object Model (DOM) in web browsers. This allows you to easily traverse and manipulate the structure of the document.
htmlparser2 is a low-level html tree parser but it can still be useful in web scraping as it's a powerful tool for HTML restructuring and serialization.
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
Example Use
const htmlparser = require("htmlparser2");
const parser = new htmlparser.Parser({
onopentag: (name, attribs) => {
console.log(`Opening tag: ${name}`);
},
ontext: (text) => {
console.log(`Text: ${text}`);
},
onclosetag: (name) => {
console.log(`Closing tag: ${name}`);
}
}, {decodeEntities: true});
const html = "<p>Hello, <b>world</b>!</p>";
parser.write(html);
parser.end();
from pyquery import PyQuery as pq
# this is our HTML page:
html = """
<head>
<title>Hello World!</title>
</head>
<body>
<div id="product">
<h1>Product Title</h1>
<p>paragraph 1</p>
<p>paragraph2</p>
<span class="price">$10</span>
</div>
</body>
"""
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('<span>discounted</span>'))
"<h1>Product Title<span>discounted</span></h1>"
# or remove elements
doc('p').remove()
print(doc('#product').html())
"""
<h1>Product Title<span>discounted</span></h1>
<span class="price">$10</span>
"""
# pyquery can also retrieve web documents using requests:
doc = pq(url='http://httpbin.org/html', headers={"User-Agent": "webscraping.fyi"})
print(doc('h1').html())