feedparservsselectolax
feedparser is a Python module for downloading and parsing syndicated feeds. It can handle RSS 0.90, Netscape RSS 0.91, Userland RSS 0.91, RSS 0.92, RSS 0.93, RSS 0.94, RSS 1.0, RSS 2.0, Atom 0.3, Atom 1.0, and CDF feeds. It also parses several popular extension modules, including Dublin Core and Apple’s iTunes extensions.
To use Universal Feed Parser, you will need Python 3.6 or later. Universal Feed Parser is not meant to run standalone; it is a module for you to use as part of a larger Python program.
feedparser can be used to scrape data feeds as it can download them and parse the XML structured data.
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:
selectolax.html.fromstring()from selectolax.parser import HTMLParser
html_string = "<html><body>Hello, World!</body></html>"
root = HTMLParser(html_string).root
print(root.tag) # html
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.
Example Use
import feedparser
# the feed can be loaded from a remote URL
data = feedparser.parse('http://feedparser.org/docs/examples/atom10.xml')
# local path
data = feedparser.parse('/home/user/data.xml')
# or raw string
data = feedparser.parse('<xml>...</xml>')
# the result dataset is a nested python dictionary containing feed data:
data['feed']['title']
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