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selectolaxvsxmltodict

MIT license 14 1 933
74.3 thousand (month) Mar 01 2018 0.3.20(11 days ago)
5,316 1 94 MIT
0.13.0(1 year, 9 months ago) Jul 30 2007 33.1 million (month)

selectolax is a fast and lightweight library for parsing HTML and XML documents in Python. It is designed to be a drop-in replacement for the popular BeautifulSoup library, with significantly faster performance.

selectolax uses a Cython-based parser to quickly parse and navigate through HTML and XML documents. It provides a simple and intuitive API for working with the document's structure, similar to BeautifulSoup.

To use selectolax, you first need to install it via pip by running pip install selectolax``. Once it is installed, you can use theselectolax.html.fromstring()function to parse an HTML document and create a selectolax object. For example:

from selectolax.parser import HTMLParser

html_string = "<html><body>Hello, World!</body></html>"
root = HTMLParser(html_string).root
print(root.tag) # html
You can also useselectolax.html.fromstring()with file-like objects, bytes or file paths, as well asselectolax.xml.fromstring()`` for parsing XML documents.

Once you have a selectolax object, you can use the select() method to search for elements in the document using CSS selectors, similar to BeautifulSoup. For example:

body = root.select("body")[0]
print(body.text()) # "Hello, World!"

Like BeautifulSoups find and find_all methods selectolax also supports searching using the search()`` method, which returns the first matching element, and thesearch_all()`` method, which returns all matching elements.

xmltodict is a Python library that allows you to work with XML data as if it were JSON. It allows you to parse XML documents and convert them to dictionaries, which can then be easily manipulated using standard dictionary operations.

You can also use the library to convert a dictionary back into an XML document. xmltodict is built on top of the popular lxml library and provides a simple, intuitive API for working with XML data.

Note that despite using lxml conversion speeds can be quite slow for large XML documents and in web scraping this should be used to parse specific snippets instead of whole HTML documents.

xmltodict pairs well with JSON parsing tools like jmespath or jsonpath. Alternatively, it can be used in reverse mode to parse JSON documents using HTML parsing tools like CSS selectors and XPath.

It can be installed via pip by running pip install xmltodict command.

Example Use


from selectolax.parser import HTMLParser

html_string = "<html><body>Hello, World!</body></html>"
root = HTMLParser(html_string).root
print(root.tag) # html

# use css selectors:
body = root.select("body")[0]
print(body.text()) # "Hello, World!"

# find first matching element:
body = root.search("body")
print(body.text()) # "Hello, World!"

# or all matching elements:
html_string = "<html><body><p>paragraph1</p><p>paragraph2</p></body></html>"
root = HTMLParser(html_string).root
for el in root.search_all("p"):
  print(el.text()) 
# will print:
# paragraph 1
# paragraph 2
import xmltodict

xml_string = """
<book>
    <title>The Great Gatsby</title>
    <author>F. Scott Fitzgerald</author>
    <publisher>Charles Scribner's Sons</publisher>
    <publication_date>1925</publication_date>
</book>
"""

book_dict = xmltodict.parse(xml_string)
print(book_dict)
{'book': {'title': 'The Great Gatsby',
'author': 'F. Scott Fitzgerald',
'publisher': "Charles Scribner's Sons",
'publication_date': '1925'}}

# and to reverse:
book_xml = xmltodict.unparse(book_dict)
print(book_xml)

# the xml can be loaded and parsed using parsel or beautifulsoup:
from parsel import Selector
sel = Selector(book_xml)
print(sel.css('publication_date::text').get())
'1925'

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