htmlqueryvshtml5-parser
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.
html5-parser is a Python library for parsing HTML and XML documents.
A fast implementation of the HTML 5 parsing spec for Python. Parsing is done in C using a variant of the gumbo parser. The gumbo parse tree is then transformed into an lxml tree, also in C, yielding parse times that can be a thirtieth of the html5lib parse times. That is a speedup of 30x. This differs, for instance, from the gumbo python bindings, where the initial parsing is done in C but the transformation into the final tree is done in python.
It is built on top of the popular lxml library and provides a simple and intuitive API for working with the document's structure.
html5-parser uses the HTML5 parsing algorithm, which is more lenient and forgiving than the traditional XML-based parsing algorithm. This means that it can parse HTML documents with malformed or missing tags and still produce a usable parse tree.
To use html5-parser, you first need to install it via pip by running pip install html5-parser.
Once it is installed, you can use the html5_parser.parse() function to parse an HTML document and create a parse tree. For example:
from html5_parser import parse
html_string = "<html><body>Hello, World!</body></html>"
root = parse(html_string)
print(root.tag) # html
Once you have a parse tree, you can use the find() and findall() methods to search for elements
in the document similar to BeautifulSoup.
html5-parser also supports searching using xpath, similar to lxml.
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 html5_parser import parse
html_string = "<html><body>Hello, World!</body></html>"
root = parse(html_string)
print(root.tag) # html
body = root.find("body")
# or find all
print(body.text) # "Hello, World!"
for el in root.findall("p"):
print(el.text) # "Hello