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htmlparser2vsrequests-html

MIT 12 4 4,263
127.1 million (month) Aug 28 2011 9.1.0(2 months ago)
13,558 2 214 MIT
0.10.0(5 years ago) Feb 25 2018 1.1 million (month)

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.

requests-html is a Python package that allows you to easily make HTTP requests and parse the HTML content of web pages. It is built on top of the popular requests package and uses the html parser from the lxml library, which makes it fast and efficient. This package is designed to provide a simple and convenient API for web scraping, and it supports features such as JavaScript rendering, CSS selectors, and form submissions.

It also offers a lot of functionalities such as cookie, session, and proxy support, which makes it an easy-to-use package for web scraping and web automation tasks.

In short requests-html offers:

  • Full JavaScript support!
  • CSS Selectors (a.k.a jQuery-style, thanks to PyQuery).
  • XPath Selectors, for the faint of heart.
  • Mocked user-agent (like a real web browser).
  • Automatic following of redirects.
  • Connection–pooling and cookie persistence.
  • The Requests experience you know and love, with magical parsing abilities.
  • Async Support

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 requests_html import HTMLSession

session = HTMLSession()
r = session.get('https://www.example.com')

# print the HTML content of the page
print(r.html.html)

# use CSS selectors to find specific elements on the page
title = r.html.find('title', first=True)
print(title.text)

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