Python - Extract URL from Text





URL extraction is achieved from a text file by using regular expression. The expression fetches the text wherever it matches the pattern. Only the re module is used for this purpose.

Example

We can take a input file containig some URLs and process it thorugh the following program to extract the URLs. The findall()function is used to find all instances matching with the regular expression.

Inout File

Shown is the input file below. Which contains teo URLs.

Now a days you can learn almost anything by just visiting http://www.google.com. But if you are completely new to computers or internet then first you need to leanr those fundamentals. Next
you can visit a good e-learning site like - https://www.tutorialspoint.com to learn further on a variety of subjects.

Now, when we take the above input file and process it through the following program we get the required output whihc gives only the URLs extracted from the file.

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import re
 
with open("path\url_example.txt") as file:
        for line in file:
            urls = re.findall('https?://(?:[-\w.]|(?:%[\da-fA-F]{2}))+', line)
            print(urls)

When we run the above program we get the following output −

['http://www.google.com.']
['https://www.tutorialspoint.com']


Frequently Asked Questions

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Ans: Python Text Processing Tutorial for Beginners - Learn Python Text Processing in simple and easy steps starting from basic to advanced concepts with examples including Text Processing,Text Processing Environment,String Immutability,Sorting Lines,Reformatting Paragraphs,Counting Token in Paragraphs ,Convert Binary to ASCII,Convert ASCII to Binary,Strings as Files,Backward File Reading,Filter Duplicate Words,Extract Emails from Text,Extract URL from Text,Pretty Print Numbers,Text Processing State Machine,Capitalize and Translate,Tokenization,Remove Stopwords,Synonyms and Antonyms,Text Translation,Word Replacement,Spelling Check,WordNet Interface,Corpora Access,Tagging Words,Chunks and Chinks,Chunk Classification,Text Classification,Bigrams,Process PDF,Process Word Document,Reading RSS feed,Sentiment Analysis,Search and Match,Text Munging,Text wrapping,Frequency Distribution,Text Summarization,Stemming Algorithms,Constrained Search. view more..
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Ans: Python Text Processing Tutorial for Beginners - Learn Python Text Processing in simple and easy steps starting from basic to advanced concepts with examples including Text Processing,Text Processing Environment,String Immutability,Sorting Lines,Reformatting Paragraphs,Counting Token in Paragraphs ,Convert Binary to ASCII,Convert ASCII to Binary,Strings as Files,Backward File Reading,Filter Duplicate Words,Extract Emails from Text,Extract URL from Text,Pretty Print Numbers,Text Processing State Machine,Capitalize and Translate,Tokenization,Remove Stopwords,Synonyms and Antonyms,Text Translation,Word Replacement,Spelling Check,WordNet Interface,Corpora Access,Tagging Words,Chunks and Chinks,Chunk Classification,Text Classification,Bigrams,Process PDF,Process Word Document,Reading RSS feed,Sentiment Analysis,Search and Match,Text Munging,Text wrapping,Frequency Distribution,Text Summarization,Stemming Algorithms,Constrained Search. view more..
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