htmlqueryvsgazpacho
htmlquery is a Go library that allows you to parse and extract data from HTML documents using XPath expressions. It provides a simple and intuitive API for traversing and querying the HTML tree structure, and it is built on top of the popular Goquery library.
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)
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.
Example Use
package main
import (
"fmt"
"log"
"github.com/antchfx/htmlquery"
)
func main() {
// Parse the HTML string
doc, err := htmlquery.Parse([]byte(`
<html>
<body>
<h1>Hello, World!</h1>
<ul>
<li>Item 1</li>
<li>Item 2</li>
<li>Item 3</li>
</ul>
</body>
</html>
`))
if err != nil {
log.Fatal(err)
}
// Extract the text of the first <h1> element
h1 := htmlquery.FindOne(doc, "//h1")
fmt.Println(htmlquery.InnerText(h1)) // "Hello, World!"
// Extract the text of all <li> elements
lis := htmlquery.Find(doc, "//li")
for _, li := range lis {
fmt.Println(htmlquery.InnerText(li))
}
// "Item 1"
// "Item 2"
// "Item 3"
}
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)