Python, parsing the result from requests to xml

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I'm trying to parse the result from requests, to xml by using BeautifulSoup.

However, it returns the error message: "TypeError: object of type 'Response' has no len()"

Here is my code :

r = requests.get(url, proxies=proxies, timeout=10)
result = BeautifulSoup(r,'html.parser')

Pass the content of the response to BeautifulSoup.

Ex:

result = BeautifulSoup(r.text,'html.parser')

Python Requests package: Handling xml response, requests does not handle parsing XML responses, no. XML responses are much more complex in nature than JSON responses, how you'd  requests does not handle parsing XML responses, no. XML responses are much more complex in nature than JSON responses, how you'd serialize XML data into Python structures is not nearly as straightforward. Python comes with built-in XML parsers. I recommend you use the ElementTree API :

According to a previous answer to a similar question:

You are getting response.content. But it return response body as bytes (docs). But you should pass str to BeautifulSoup constructor (docs). So you need to use the response.text instead of getting content.

XML parsing in Python, #Python code to illustrate parsing of XML files creating HTTP response object from given url resp = requests.get(url) # saving the xml file with  The response from an API is in in XML format. Parsing the response in XML slowed things down a little. Which is the focus of the post. How to parse the XML response with Python. After some time I put the pieces together can work with this product through the API. You will need two modules. Requests and ElementTree. Links to the documentation is

Replace r to r.text in BeautifulSoup function:

r = requests.get(url, proxies=proxies, timeout=10)

result = BeautifulSoup(r.text,'html.parser')

Hope it helps. Happy coding :)

20.5. xml.etree.ElementTree — The ElementTree XML API, 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  XML parsing¶ untangle¶ untangle is a simple library which takes an XML document and returns a Python object which mirrors the nodes and attributes in its structure.

In BeautifulSoup, html.parser is used for parsing HTML content, if you want to parse XML content, using lxml’s XML parser, like this:

result = BeautifulSoup(r,'lxml-xml')   # method 1
result = BeautifulSoup(r,'xml')        # method 2

Before you use them, you need ensure you have installed the lxml parser. using pip to install it is easily.

pip install lxml

requests-xml · PyPI, XML Parsing for humans. :target: https://pypi.python.org/pypi/requests-xml/ .. image:: <Result ('NASA Image of the Day',) {}> Using PyQuery  BeautifulSoup is one of the most used libraries when it comes to web scraping with Python. Since XML files are similar to HTML files, it is also capable of parsing them. To parse XML files using BeautifulSoup though, it’s best that you make use of Python’s lxml parser.

Simple XML Parsing in Python - Scripts & Rules, I get the following xml response <YAMAHA_AV rsp="GET" RC="0"> <System> import requests from xml.etree import ElementTree as ET url  The content of response now contains the XML file data which we save as topnewsfeed.xml in our local directory. For more insight on how requests module works, follow this article: GET and POST requests using Python; Parsing XML We have created parseXML() function to parse XML file. We know that XML is an inherently hierarchical data format, and

How to parse the xml object returned from analytics API with Python , How to parse the xml object returned from analytics API with Python for using Alma API, and parsing the response in Python XML Element Tree: cElementTree as et report = requests.get(URL) # print("\n\nReport: \n" +  XML, or Extensible Markup Language, is a markup-language that is commonly used to structure, store, and transfer data between systems. While not as common as it used to be, it is still used in services like RSS and SOAP, as well as for structuring files like Microsoft Office documents. With Python being a popular language for the web and data analysis, it's likely you'll need to read or write

XML parsing, untangle¶. untangle is a simple library which takes an XML document and returns a Python object which mirrors the nodes and attributes in its structure. lxml and Requests¶. lxml is a pretty extensive library written for parsing XML and HTML documents very quickly, even handling messed up tags in the process. We will also be using the Requests module instead of the already built-in urllib2 module due to improvements in speed and readability.

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  • Possible duplicate of BeautifulSoup: object of type 'Response' has no len()