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xml2vsfeedparser

MIT 63 3 216
624.5 thousand (month) Apr 20 2015 1.3.6(9 months ago)
1,821 8 83 BSD-2-Clause
6.0.11(3 months ago) Jun 15 2007 3.4 million (month)

The xml2 package is a binding to libxml2, making it easy to work with HTML and XML from R. The API is somewhat inspired by jQuery.

xml2 can be used to parse HTML documents using XPath selectors and is a successor to R's XML package with a few improvements:

  • xml2 takes care of memory management for you. It will automatically free the memory used by an XML document as soon as the last reference to it goes away.
  • xml2 has a very simple class hierarchy so don't need to think about exactly what type of object you have, xml2 will just do the right thing.
  • More convenient handling of namespaces in Xpath expressions - see xml_ns() and xml_ns_strip() to get started.

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


library("xml2")
x <- read_xml("<foo> <bar> text <baz/> </bar> </foo>")
x

xml_name(x)
xml_children(x)
xml_text(x)
xml_find_all(x, ".//baz")

h <- read_html("<html><p>Hi <b>!")
h
xml_name(h)
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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