How do extract domain extension of the elements in python list without using any build in function?

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Consider my list is:

my_list=["www.annauniv.edu","www.facebook.com"]

My expected output should be:

Domain extension of the elements in list are: ['.edu','.com']

MY CODING:

my_list=["www.annauniv.edu","www.tneaonline.org","www.facebook.com"]
print(my_list)
s=[]
for i in my_list:
    s.append(i[-3:])
print(s)

Is there any simpler coding for this?


I don’t think it makes any sense not

my_list=["www.annauniv.edu","www.facebook.com"]

res = []
for el in my_list:
    for ind, let in enumerate(el[-1:0:-1]):
        if let == '.':
            res.append(el[-ind-1:])
            break
res

output:

['.edu', '.com']

P.S. your solution will crash if domain will have 2 letters: .en for example

How to get root domains from URLs using Python, We'll be using the Python 3 tld project to make our scripts much /seo/14- elements-every-successful-outreach-campaign-need/' #URL to strip. Extracting multiple root domains within a list using print from tld import get_tld; urls_file = " urls_file.csv"; #URLs should be in column A without a heading, in a� This tutorial outlines various string (character) functions used in Python. To manipulate strings and character values, python has several in-built functions. It means you don't need to import or have dependency on any external package to deal with string data type in Python. It's one of the advantage of using Python over other data science tools.


list(map(lambda x: x.split(".")[-1], my_list))

For getting the domain extension, you split each string by .'s and take the last element which is done with x.split[-1]. Then you do it for all elements in the list

john-kurkowski/tldextract: Accurately separate the TLD from , Accurately separate the TLD from the registered domain and subdomains of a URL, using tldextract. Python Module PyPI version Build Status. tldextract accurately 2 elements goes a long way only if you're thinking of simple e.g. . com domains. You can optionally support the Public Suffix List's private domains as well. A set is created by placing all the items (elements) inside curly braces {}, separated by comma, or by using the built-in set() function. It can have any number of items and they may be of different types (integer, float, tuple, string etc.).


my_list=["www.annauniv.edu","www.tneaonline.org","www.facebook.com"]
print(my_list)
s = [i[-3:] for i in my_list]
print(s)

This will helps : )

tldextract � PyPI, You can optionally support the Public Suffix List's private domains as Accurately separate the TLD from the registered domain and subdomains of a URL, using the ExtractResult is a namedtuple, so it's simple to access the parts you Developed and maintained by the Python community, for the Python� Using split function, we can split the string into a list of words and is most generic and recommended method if one wished to accomplish this particular task. But drawback is that it fails in the cases in string contains punctuation marks.


tld � PyPI, Extract the top-level domain (TLD) from the URL given. List of TLD names is taken from Public Suffix. PyPI Version Supported Python versions Build Status MPL-1.1 OR GPL-2.0-only OR Return TLD parts as tuple You could then use get_tld (as well as other tld module functions) as shown below: XML documents have sections, called elements, defined by a beginning and an ending tag. A tag is a markup construct that begins with < and ends with >. The characters between the start-tag and end-tag, if there are any, are the element's content. Elements can contain markup, including other elements, which are called "child elements".


3. Data model — Python 2.7.18 documentation, The type() function returns an object's type (which is an object itself). Below is a list of the types that are built into Python. Any operation, if it yields a result in the plain integer domain, will yield the same result in the long may work well with retrieval of individual elements, but extracting a slice may not make sense. To extract data using web scraping with python, you need to follow these basic steps: Find the URL that you want to scrape; Inspecting the Page; Find the data you want to extract; Write the code; Run the code and extract the data; Store the data in the required format ; Now let us see how to extract data from the Flipkart website using Python.


Python Module Index — Python 3.8.5 documentation, builtins, The module that provides the built-in namespace. calendar, Functions for working with calendars, including some emulation of fileinput, Loop over standard input or a list of files. mimetypes, Mapping of filename extensions to MIME types. runpy, Locate and run Python modules without importing them first . In the HTML DOM, the Element object represents an HTML element, like P, DIV, A, TABLE, or any other HTML element. Properties and Methods The following properties and methods can be used on all HTML elements: