html5-parservsnokogiri
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.
Nokogiri is a Ruby gem that provides a simple and powerful way to parse and search XML and HTML documents. It is built on top of the underlying C library libxml2, which is known for its speed and reliability.
Nokogiri provides a simple and intuitive API for parsing and searching XML and HTML documents, and it is widely used in the Ruby ecosystem for web scraping and data extraction.
One of the main features of Nokogiri is its ability to search and navigate through XML and HTML documents using a CSS or XPath selectors.
Nokogiri also provides a variety of other features that can simplify the process of working with XML and HTML documents. It can automatically handle character encodings and normalize documents, it can parse and search large documents with low memory usage, and it can validate documents against a DTD or schema.
Highlights
Example Use
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
require 'nokogiri'
html_string = '<html><head><title>Page Title</title></head><body><h1 class="header-class">Hello World!</h1><p>This is a sample webpage.</p></body></html>'
# Parse the HTML string
doc = Nokogiri::HTML(html_string)
# Extract the class attribute of h1 tag using CSS selector
h1_class = doc.css("h1")[0]['class']
# or XPath
h1_class = doc.xpath("//h1")[0]['class']
puts "H1 class: #{h1_class}"