Python Xml Parser Example
xml.etree.ElementTree — The ElementTree XML API …
Source code: Lib/xml/etree/
The module implements a simple and efficient API
for parsing and creating XML data.
Changed in version 3. 3: This module will use a fast implementation whenever available.
Deprecated since version 3. 3: The module is deprecated.
Warning
The module is not secure against
maliciously constructed data. If you need to parse untrusted or
unauthenticated data see XML vulnerabilities.
Tutorial¶
This is a short tutorial for using (ET in
short). The goal is to demonstrate some of the building blocks and basic
concepts of the module.
XML tree and elements¶
XML is an inherently hierarchical data format, and the most natural way to
represent it is with a tree. ET has two classes for this purpose –
ElementTree represents the whole XML document as a tree, and
Element represents a single node in this tree. Interactions with
the whole document (reading and writing to/from files) are usually done
on the ElementTree level. Interactions with a single XML element
and its sub-elements are done on the Element level.
Parsing XML¶
We’ll be using the following XML document as the sample data for this section:
We can import this data by reading from a file:
import as ET
tree = (”)
root = troot()
Or directly from a string:
root = omstring(country_data_as_string)
fromstring() parses XML from a string directly into an Element,
which is the root element of the parsed tree. Other parsing functions may
create an ElementTree. Check the documentation to be sure.
As an Element, root has a tag and a dictionary of attributes:
>>>
‘data’
{}
It also has children nodes over which we can iterate:
>>> for child in root:… print(, )…
country {‘name’: ‘Liechtenstein’}
country {‘name’: ‘Singapore’}
country {‘name’: ‘Panama’}
Children are nested, and we can access specific child nodes by index:
>>> root[0][1]
‘2008’
Note
Not all elements of the XML input will end up as elements of the
parsed tree. Currently, this module skips over any XML comments,
processing instructions, and document type declarations in the
input. Nevertheless, trees built using this module’s API rather
than parsing from XML text can have comments and processing
instructions in them; they will be included when generating XML
output. A document type declaration may be accessed by passing a
custom TreeBuilder instance to the XMLParser
constructor.
Pull API for non-blocking parsing¶
Most parsing functions provided by this module require the whole document
to be read at once before returning any result. It is possible to use an
XMLParser and feed data into it incrementally, but it is a push API that
calls methods on a callback target, which is too low-level and inconvenient for
most needs. Sometimes what the user really wants is to be able to parse XML
incrementally, without blocking operations, while enjoying the convenience of
fully constructed Element objects.
The most powerful tool for doing this is XMLPullParser. It does not
require a blocking read to obtain the XML data, and is instead fed with data
incrementally with () calls. To get the parsed XML
elements, call ad_events(). Here is an example:
>>> parser = ET. XMLPullParser([‘start’, ‘end’])
>>> (‘
>>> list(ad_events())
[(‘start’,
>>> (‘ more text
>>> for event, elem in ad_events():… print(event)… print(, ‘text=’, )…
end
The obvious use case is applications that operate in a non-blocking fashion
where the XML data is being received from a socket or read incrementally from
some storage device. In such cases, blocking reads are unacceptable.
Because it’s so flexible, XMLPullParser can be inconvenient to use for
simpler use-cases. If you don’t mind your application blocking on reading XML
data but would still like to have incremental parsing capabilities, take a look
at iterparse(). It can be useful when you’re reading a large XML document
and don’t want to hold it wholly in memory.
Finding interesting elements¶
Element has some useful methods that help iterate recursively over all
the sub-tree below it (its children, their children, and so on). For example,
():
>>> for neighbor in (‘neighbor’):… print()…
{‘name’: ‘Austria’, ‘direction’: ‘E’}
{‘name’: ‘Switzerland’, ‘direction’: ‘W’}
{‘name’: ‘Malaysia’, ‘direction’: ‘N’}
{‘name’: ‘Costa Rica’, ‘direction’: ‘W’}
{‘name’: ‘Colombia’, ‘direction’: ‘E’}
ndall() finds only elements with a tag which are direct
children of the current element. () finds the first child
with a particular tag, and accesses the element’s text
content. () accesses the element’s attributes:
>>> for country in ndall(‘country’):… rank = (‘rank’)… name = (‘name’)… print(name, rank)…
Liechtenstein 1
Singapore 4
Panama 68
More sophisticated specification of which elements to look for is possible by
using XPath.
Modifying an XML File¶
ElementTree provides a simple way to build XML documents and write them to files.
The () method serves this purpose.
Once created, an Element object may be manipulated by directly changing
its fields (such as), adding and modifying attributes
(() method), as well as adding new children (for example
with ()).
Let’s say we want to add one to each country’s rank, and add an updated
attribute to the rank element:
>>> for rank in (‘rank’):… new_rank = int() + 1… = str(new_rank)… (‘updated’, ‘yes’)…
>>> (”)
Our XML now looks like this:
We can remove elements using (). Let’s say we want to
remove all countries with a rank higher than 50:
>>> for country in ndall(‘country’):… # using ndall() to avoid removal during traversal… rank = int((‘rank’))… if rank > 50:… (country)…
Note that concurrent modification while iterating can lead to problems,
just like when iterating and modifying Python lists or dicts.
Therefore, the example first collects all matching elements with
ndall(), and only then iterates over the list of matches.
Building XML documents¶
The SubElement() function also provides a convenient way to create new
sub-elements for a given element:
>>> a = ET. Element(‘a’)
>>> b = bElement(a, ‘b’)
>>> c = bElement(a, ‘c’)
>>> d = bElement(c, ‘d’)
>>> (a)
Parsing XML with Namespaces¶
If the XML input has namespaces, tags and attributes
with prefixes in the form prefix:sometag get expanded to
{uri}sometag where the prefix is replaced by the full URI.
Also, if there is a default namespace,
that full URI gets prepended to all of the non-prefixed tags.
Here is an XML example that incorporates two namespaces, one with the
prefix “fictional” and the other serving as the default namespace:
By default, the href attribute is treated as a file name. You can use custom loaders to override this behaviour. Also note that the standard helper does not support XPointer syntax.
To process this file, load it as usual, and pass the root element to the module:
from import ElementTree, ElementInclude
tree = (“”)
clude(root)
The ElementInclude module replaces the {include element with the root element from the document. The result might look something like this:
To include a text document, use the {include element, and set the parse attribute to “text”:
Copyright (c)
The result might look something like:
Copyright (c) 2003.
(href, parse, encoding=None)¶
Default loader. This default loader reads an included resource from disk. href is a URL.
parse is for parse mode either “xml” or “text”. encoding
is an optional text encoding. If not given, encoding is utf-8. Returns the
expanded resource. If the parse mode is “xml”, this is an ElementTree
instance. If the parse mode is “text”, this is a Unicode string. If the
loader fails, it can return None or raise an exception.
(elem, loader=None, base_url=None, max_depth=6)¶
This function expands XInclude directives. elem is the root element. loader is
an optional resource loader. If omitted, it defaults to default_loader().
If given, it should be a callable that implements the same interface as
default_loader(). base_url is base URL of the original file, to resolve
relative include file references. max_depth is the maximum number of recursive
inclusions. Limited to reduce the risk of malicious content explosion. Pass a
negative value to disable the limitation.
Returns the expanded resource. If the parse mode is
“xml”, this is an ElementTree instance. If the parse mode is “text”,
this is a Unicode string. If the loader fails, it can return None or
raise an exception.
New in version 3. 9: The base_url and max_depth parameters.
Element Objects¶
class (tag, attrib={}, **extra)¶
Element class. This class defines the Element interface, and provides a
reference implementation of this interface.
bytestrings or Unicode strings. tag is the element name. attrib is
an optional dictionary, containing element attributes. extra contains
additional attributes, given as keyword arguments.
tag¶
A string identifying what kind of data this element represents (the
element type, in other words).
text¶
tail¶
These attributes can be used to hold additional data associated with
the element. Their values are usually strings but may be any
application-specific object. If the element is created from
an XML file, the text attribute holds either the text between
the element’s start tag and its first child or end tag, or None, and
the tail attribute holds either the text between the element’s
end tag and the next tag, or None. For the XML data
1
the a element has None for both text and tail attributes,
the b element has text “1” and tail “4”,
the c element has text “2” and tail None,
and the d element has text None and tail “3”.
To collect the inner text of an element, see itertext(), for
example “”(ertext()).
Applications may store arbitrary objects in these attributes.
attrib¶
A dictionary containing the element’s attributes. Note that while the
attrib value is always a real mutable Python dictionary, an ElementTree
implementation may choose to use another internal representation, and
create the dictionary only if someone asks for it. To take advantage of
such implementations, use the dictionary methods below whenever possible.
The following dictionary-like methods work on the element attributes.
clear()¶
Resets an element. This function removes all subelements, clears all
attributes, and sets the text and tail attributes to None.
get(key, default=None)¶
Gets the element attribute named key.
Returns the attribute value, or default if the attribute was not found.
items()¶
Returns the element attributes as a sequence of (name, value) pairs. The
attributes are returned in an arbitrary order.
keys()¶
Returns the elements attribute names as a list. The names are returned
in an arbitrary order.
set(key, value)¶
Set the attribute key on the element to value.
The following methods work on the element’s children (subelements).
append(subelement)¶
Adds the element subelement to the end of this element’s internal list
of subelements. Raises TypeError if subelement is not an
Element.
extend(subelements)¶
Appends subelements from a sequence object with zero or more elements.
Raises TypeError if a subelement is not an Element.
find(match, namespaces=None)¶
Finds the first subelement matching match. match may be a tag name
or a path. Returns an element instance
or None. namespaces is an optional mapping from namespace prefix
to full name. Pass ” as prefix to move all unprefixed tag names
in the expression into the given namespace.
findall(match, namespaces=None)¶
Finds all matching subelements, by tag name or
path. Returns a list containing all matching
elements in document order. namespaces is an optional mapping from
namespace prefix to full name. Pass ” as prefix to move all
unprefixed tag names in the expression into the given namespace.
findtext(match, default=None, namespaces=None)¶
Finds text for the first subelement matching match. match may be
a tag name or a path. Returns the text content
of the first matching element, or default if no element was found.
Note that if the matching element has no text content an empty string
is returned. namespaces is an optional mapping from namespace prefix
insert(index, subelement)¶
Inserts subelement at the given position in this element. Raises
TypeError if subelement is not an Element.
iter(tag=None)¶
Creates a tree iterator with the current element as the root.
The iterator iterates over this element and all elements below it, in
document (depth first) order. If tag is not None or ‘*’, only
elements whose tag equals tag are returned from the iterator. If the
tree structure is modified during iteration, the result is undefined.
iterfind(match, namespaces=None)¶
path. Returns an iterable yielding all
matching elements in document order. namespaces is an optional mapping
from namespace prefix to full name.
itertext()¶
Creates a text iterator. The iterator loops over this element and all
subelements, in document order, and returns all inner text.
makeelement(tag, attrib)¶
Creates a new element object of the same type as this element. Do not
call this method, use the SubElement() factory function instead.
remove(subelement)¶
Removes subelement from the element. Unlike the find* methods this
method compares elements based on the instance identity, not on tag value
or contents.
Element objects also support the following sequence type methods
for working with subelements: __delitem__(),
__getitem__(), __setitem__(),
__len__().
Caution: Elements with no subelements will test as False. This behavior
will change in future versions. Use specific len(elem) or elem is
None test instead.
element = (‘foo’)
if not element: # careful!
print(“element not found, or element has no subelements”)
if element is None:
print(“element not found”)
Prior to Python 3. 8, the serialisation order of the XML attributes of
elements was artificially made predictable by sorting the attributes by
their name. Based on the now guaranteed ordering of dicts, this arbitrary
reordering was removed in Python 3. 8 to preserve the order in which
attributes were originally parsed or created by user code.
In general, user code should try not to depend on a specific ordering of
attributes, given that the XML Information Set explicitly excludes the attribute
order from conveying information. Code should be prepared to deal with
any ordering on input. In cases where deterministic XML output is required,
e. for cryptographic signing or test data sets, canonical serialisation
is available with the canonicalize() function.
In cases where canonical output is not applicable but a specific attribute
order is still desirable on output, code should aim for creating the
attributes directly in the desired order, to avoid perceptual mismatches
for readers of the code. In cases where this is difficult to achieve, a
recipe like the following can be applied prior to serialisation to enforce
an order independently from the Element creation:
def reorder_attributes(root):
for el in ():
attrib =
if len(attrib) > 1:
# adjust attribute order, e. by sorting
attribs = sorted(())
()
(attribs)
ElementTree Objects¶
class (element=None, file=None)¶
ElementTree wrapper class. This class represents an entire element
hierarchy, and adds some extra support for serialization to and from
standard XML.
element is the root element. The tree is initialized with the contents
of the XML file if given.
_setroot(element)¶
Replaces the root element for this tree. This discards the current
contents of the tree, and replaces it with the given element. Use with
care. element is an element instance.
Same as (), starting at the root of the tree.
Same as ndall(), starting at the root of the tree.
Same as ndtext(), starting at the root of the tree.
getroot()¶
Returns the root element for this tree.
Creates and returns a tree iterator for the root element. The iterator
loops over all elements in this tree, in section order. tag is the tag
to look for (default is to return all elements).
Same as erfind(), starting at the root of the tree.
parse(source, parser=None)¶
Loads an external XML section into this element tree. source is a file
name or file object. parser is an optional parser instance.
If not given, the standard XMLParser parser is used. Returns the
section root element.
write(file, encoding=”us-ascii”, xml_declaration=None, default_namespace=None, method=”xml”, *, short_empty_elements=True)¶
Writes the element tree to a file, as XML. file is a file name, or a
file object opened for writing. encoding 1 is the output
encoding (default is US-ASCII).
xml_declaration controls if an XML declaration should be added to the
file. Use False for never, True for always, None
for only if not US-ASCII or UTF-8 or Unicode (default is None).
default_namespace sets the default XML namespace (for “xmlns”).
method is either “xml”, “html” or “text” (default is
“xml”).
The keyword-only short_empty_elements parameter controls the formatting
of elements that contain no content. If True (the default), they are
emitted as a single self-closed tag, otherwise they are emitted as a pair
of start/end tags.
The output is either a string (str) or binary (bytes).
This is controlled by the encoding argument. If encoding is
“unicode”, the output is a string; otherwise, it’s binary. Note that
this may conflict with the type of file if it’s an open
file object; make sure you do not try to write a string to a
binary stream and vice versa.
Changed in version 3. 8: The write() method now preserves the attribute order specified
This is the XML file that is going to be manipulated:
Example of changing the attribute “target” of every link in first paragraph:
>>> from import ElementTree
>>> tree = ElementTree()
>>> (“”)
>>> p = (“body/p”) # Finds first occurrence of tag p in body
>>> p
>>> links = list((“a”)) # Returns list of all links
>>> links
[
>>> for i in links: # Iterates through all found links… [“target”] = “blank”
QName Objects¶
class (text_or_uri, tag=None)¶
QName wrapper. This can be used to wrap a QName attribute value, in order
to get proper namespace handling on output. text_or_uri is a string
containing the QName value, in the form {uri}local, or, if the tag argument
is given, the URI part of a QName. If tag is given, the first argument is
interpreted as a URI, and this argument is interpreted as a local name.
QN
XML parsing in Python – GeeksforGeeks
This article focuses on how one can parse a given XML file and extract some useful data out of it in a structured XML stands for eXtensible Markup Language. It was designed to store and transport data. It was designed to be both human- and ’s why, the design goals of XML emphasize simplicity, generality, and usability across the XML file to be parsed in this tutorial is actually a RSS RSS(Rich Site Summary, often called Really Simple Syndication) uses a family of standard web feed formats to publish frequently updated informationlike blog entries, news headlines, audio, video. RSS is XML formatted plain RSS format itself is relatively easy to read both by automated processes and by humans RSS processed in this tutorial is the RSS feed of top news stories from a popular news website. You can check it out here. Our goal is to process this RSS feed (or XML file) and save it in some other format for future Module used: This article will focus on using inbuilt xml module in python for parsing XML and the main focus will be on the ElementTree XML API of this plementation:import csvimport requestsimport as ETdef loadRSS(): resp = (url) with open(”, ‘wb’) as f: (ntent)def parseXML(xmlfile): tree = (xmlfile) root = troot() newsitems = [] for item in ndall(‘. /channel/item’): news = {} for child in item: news[‘media’] = [‘url’] else: news[] = (‘utf8’) (news) return newsitemsdef savetoCSV(newsitems, filename): fields = [‘guid’, ‘title’, ‘pubDate’, ‘description’, ‘link’, ‘media’] with open(filename, ‘w’) as csvfile: writer = csv. DictWriter(csvfile, fieldnames = fields) writer. writeheader() writer. writerows(newsitems)def main(): loadRSS() newsitems = parseXML(”) savetoCSV(newsitems, ”)if __name__ == “__main__”: main()Above code will:Load RSS feed from specified URL and save it as an XML the XML file to save news as a list of dictionaries where each dictionary is a single news the news items into a CSV us try to understand the code in pieces:Loading and saving RSS feeddef loadRSS():
# url of rss feed
url = ”
# creating HTTP response object from given url
resp = (url)
# saving the xml file
with open(”, ‘wb’) as f:
(ntent)Here, we first created a HTTP response object by sending an HTTP request to the URL of the RSS feed. The content of response now contains the XML file data which we save as in our local more insight on how requests module works, follow this article:GET and POST requests using PythonParsing XMLWe have created parseXML() function to parse XML file. We know that XML is an inherently hierarchical data format, and the most natural way to represent it is with a tree. Look at the image below for example:Here, we are using (call it ET, in short) module. Element Tree has two classes for this purpose – ElementTree represents the whole XMLdocument as a tree, and Element represents a single node in this tree. Interactions with the whole document (reading and writing to/from files) are usually done on the ElementTree level. Interactions with a single XML element and its sub-elements are done on the Element, so let’s go through the parseXML() function now:tree = (xmlfile)Here, we create an ElementTree object by parsing the passed = troot()getroot() function return the root of tree as an Element item in ndall(‘. /channel/item’):Now, once you have taken a look at the structure of your XML file, you will notice that we are interested only in item element.. /channel/item is actually XPath syntax (XPath is a language for addressing parts of an XML document). Here, we want to find all item grand-children of channel children of the root(denoted by ‘. ’) can read more about supported XPath syntax item in ndall(‘. /channel/item’):
# empty news dictionary
news = {}
# iterate child elements of item
for child in item:
# special checking for namespace object content:media
if == ‘{content’:
news[‘media’] = [‘url’]
else:
news[] = (‘utf8’)
# append news dictionary to news items list
(news)Now, we know that we are iterating through item elements where each item element contains one news. So, we create an empty news dictionary in which we will store all data available about news item. To iterate though each child element of an element, we simply iterate through it, like this:for child in item:Now, notice a sample item element here:We will have to handle namespace tags separately as they get expanded to their original value, when parsed. So, we do something like this:if == ‘{content’:
news[‘media’] = [‘url’] is a dictionary of all the attributes related to an element. Here, we are interested in url attribute of media:content namespace, for all other children, we simply do:news[] = (‘utf8’) contains the name of child element. stores all the text inside that child element. So, finally, a sample item element is converted to a dictionary and looks like this:{‘description’: ‘Ignis has a tough competition already, from Hyun….,
‘guid’: ‘….,
‘link’: ‘….,
‘media’: ‘…,
‘pubDate’: ‘Thu, 12 Jan 2017 12:33:04 GMT ‘,
‘title’: ‘Maruti Ignis launches on Jan 13: Five cars that threa….. }Then, we simply append this dict element to the list nally, this list is data to a CSV fileNow, we simply save the list of news items to a CSV file so that it could be used or modified easily in future using savetoCSV() function. To know more about writing dictionary elements to a CSV file, go through this article:Working with CSV files in PythonSo now, here is how our formatted data looks like now:As you can see, the hierarchical XML file data has been converted to a simple CSV file so that all news stories are stored in form of a table. This makes it easier to extend the database, one can use the JSON-like data directly in their applications! This is the best alternative for extracting data from websites which do not provide a public API but provide some RSS the code and files used in above article can be found next? You can have a look at more rss feeds of the news website used in above example. You can try to create an extended version of above example by parsing other rss feeds you a cricket fan? Then this rss feed must be of your interest! You can parse this XML file to scrape information about the live cricket matches and use to make a desktop notifier! Quiz of HTML and XMLThis article is contributed by Nikhil Kumar. If you like GeeksforGeeks and would like to contribute, you can also write an article and mail your article to See your article appearing on the GeeksforGeeks main page and help other write comments if you find anything incorrect, or you want to share more information about the topic discussed above
Python XML Parser Tutorial: Read xml file example(Minidom
What is XML?
XML stands for eXtensible Markup Language. It was designed to store and transport small to medium amounts of data and is widely used for sharing structured information.
Python enables you to parse and modify XML document. In order to parse XML document you need to have the entire XML document in memory. In this tutorial, we will see how we can use XML minidom class in Python to load and parse XML file.
In this tutorial, we will learn-
How to Parse XML using minidom
How to Create XML Node
How to Parse XML using ElementTree
We have created a sample XML file that we are going to parse.
Step 1) Inside file, we can see first name, last name, home and the area of expertise (SQL, Python, Testing and Business)
Step 2) Once we have parsed the document, we will print out the “node name” of the root of the document and the “firstchild tagname”. Tagname and nodename are the standard properties of the XML file.
Import the module and declare file that has to be parsed ()
This file carries some basic information about employee like first name, last name, home, expertise, etc.
We use the parse function on the XML minidom to load and parse the XML file
We have variable doc and doc gets the result of the parse function
We want to print the nodename and child tagname from the file, so we declare it in print function
Run the code- It prints out the nodename (#document) from the XML file and the first child tagname (employee) from the XML file
Note:
Nodename and child tagname are the standard names or properties of an XML dom. In case if you are not familiar with these type of naming conventions.
Step 3) We can also call the list of XML tags from the XML document and printed out. Here we printed out the set of skills like SQL, Python, Testing and Business.
Declare the variable expertise, from which we going to extract all the expertise name employee is having
Use the dom standard function called “getElementsByTagName”
This will get all the elements named skill
Declare loop over each one of the skill tags
Run the code- It will give list of four skills
We can create a new attribute by using “createElement” function and then append this new attribute or tag to the existing XML tags. We added a new tag “BigData” in our XML file.
You have to code to add the new attribute (BigData) to the existing XML tag
Then you have to print out the XML tag with new attributes appended with existing XML tag
To add a new XML and add it to the document, we use code “ elements”
This code will create a new skill tag for our new attribute “Big-data”
Add this skill tag into the document first child (employee)
Run the code- the new tag “big data” will appear with the other list of expertise
XML Parser Example
Python 2 Example
import
def main():
# use the parse() function to load and parse an XML file
doc = (“”);
# print out the document node and the name of the first child tag
print deName
print rstChild. tagName
# get a list of XML tags from the document and print each one
expertise = tElementsByTagName(“expertise”)
print “%d expertise:”%
for skill in expertise:
print tAttribute(“name”)
# create a new XML tag and add it into the document
newexpertise = eateElement(“expertise”)
tAttribute(“name”, “BigData”)
endChild(newexpertise)
print ” ”
if name == “__main__”:
main();
Python 3 Example
print (deName)
print (rstChild. tagName)
print (“%d expertise:”%)
print (tAttribute(“name”))
print (” “)
if __name__ == “__main__”:
ElementTree is an API for manipulating XML. ElementTree is the easy way to process XML files.
We are using the following XML document as the sample data:
Reading XML using ElementTree:
we must first import the module.
import as ET
Now let’s fetch the root element:
root = troot()
Following is the complete code for reading above xml data
tree = (”)
# all items data
print(‘Expertise Data:’)
for elem in root:
for subelem in elem:
print()
output:
Expertise Data:
SQL
Python
Summary:
Python enables you to parse the entire XML document at one go and not just one line at a time. In order to parse XML document you need to have the entire document in memory.
To parse XML document
Import
Use the function “parse” to parse the document ( (file name);
Call the list of XML tags from the XML document using code (tElementsByTagName( “name of xml tags”)
To create and add new attribute in XML document
Use function “createElement”
Frequently Asked Questions about python xml parser example
How do I parse XML in Python?
In order to parse XML document you need to have the entire document in memory.To parse XML document.Import xml.dom.minidom.Use the function “parse” to parse the document ( doc=xml.dom.minidom.parse (file name);Call the list of XML tags from the XML document using code (=doc.getElementsByTagName( “name of xml tags”)More items…•Oct 6, 2021
How do you read and parse XML in Python?
To read an XML file using ElementTree, firstly, we import the ElementTree class found inside xml library, under the name ET (common convension). Then passed the filename of the xml file to the ElementTree. parse() method, to enable parsing of our xml file. Then got the root (parent tag) of our xml file using getroot().Sep 2, 2021
What is ElementTree in Python?
ElementTree is an important Python library that allows you to parse and navigate an XML document. Using ElementTree breaks down the XML document in a tree structure that is easy to work with.
