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untanglevsfeedparser

MIT 24 2 608
147.2 thousand (month) Jun 09 2011 1.2.1(1 year, 9 months ago)
1,821 8 83 BSD-2-Clause
6.0.11(3 months ago) Jun 15 2007 3.4 million (month)

untangle is a simple library for parsing XML documents in Python. It allows you to access data in an XML file as if it were a Python object, making it easy to work with the data in your code.

To use untangle, you first need to install it via pip by running pip install untangle``. Once it is installed, you can use theuntangle.parse()`` function to parse an XML file and create a Python object.

For example:

import untangle

obj = untangle.parse("example.xml")
print(obj.root.element.child)

You can also pass a file-like object or a string containing XML data to the untangle.parse() function. Once you have an untangle object, you can access elements in the XML document using dot notation.

You can also access the attributes of an element by using attrib property, eg. `obj.root.element['attrib_name']`` untangle also supports xpath-like syntax to access the elements, obj.root.xpath("path/to/element")

It also supports iteration over the elements using obj.root.element.children

for child in obj.root.element.children:
    print(child)

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 Appleā€™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.

Example Use


import untangle

obj = untangle.parse("example.xml")

print(obj.root.element.child)
# access attributes:
print(obj.root.element['attrib_name'])
# use xpath:
element = obj.root.xpath("path/to/element")
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']

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