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gazpachovsrequests-html

MIT 14 1 730
9.6 thousand (month) Dec 28 2012 1.1(3 years ago)
13,558 2 214 MIT
0.10.0(5 years ago) Feb 25 2018 1.1 million (month)

gazpacho is a Python library for scraping web pages. It is designed to make it easy to extract information from a web page by providing a simple and intuitive API for working with the page's structure.

gazpacho uses the requests library to download the page and the lxml library to parse the HTML or XML code. It provides a way to search for elements in the page using CSS selectors, similar to BeautifulSoup.

To use gazpacho, you first need to install it via pip by running pip install gazpacho. Once it is installed, you can use the gazpacho.get() function to download a web page and create a gazpacho object. For example:

from gazpacho import get, Soup

url = "https://en.wikipedia.org/wiki/Web_scraping"
html = get(url)
soup = Soup(html)
print(soup.find('title').text)
You can also use gazpacho.get() with file-like objects, bytes or file paths.

Once you have a gazpacho object, you can use the find() and find_all() methods to search for elements in the page using CSS selectors, similar to BeautifulSoup.

gazpacho also supports searching using the select() method, which returns the first matching element, and the select_all() method, which returns all matching elements.

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


from gazpacho import get, Soup

# gazpacho can retrieve web pages
url = "https://webscraping.fyi/"
html = get(url)
# and parse them:
soup = Soup(html)
print(soup.find('title').text)

# search for elements like beautifulsoup:
body = soup.find("div", {"class":"item"})
print(body.text)
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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