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html5-parservshtml5lib

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17.6 thousand (month) Jun 03 2007 0.4.12(2023-11-19 15:09:54 ago)
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Jul 30 2007 32.8 million (month) 1.1(2020-06-22 23:32:36 ago)

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 = "Hello, World!" root = parse(html_string) print(root.tag) # html ` You can also use `html5_parser.parse() with file-like objects, bytes or file paths.

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.

html5lib is a pure-python library for parsing HTML. It is designed to conform to the WHATWG HTML specification, as is implemented by all major web browsers.

As html5lib is implemented in pure-python it is significantly slower than alternatives powered by lxml (like parsel or beautifulsoup). However, html5lib implements a more true html5 parsing which can represent HTML tree more correctly than alternatives.

Example Use


```python from html5_parser import parse html_string = "Hello, World!" 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 ```
```python import html5lib from html5lib import parse html_doc = "My Title" parsed = parse(html_doc) title = parsed.getElementsByTagName("title")[0] print(title.childNodes[0].nodeValue) ```

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