The task is to count the most frequent words, which extracts data from dynamic sources.
First, create a web-crawler with the help of
requests module and
beautiful soup module, which will extract data from the web-pages and store them in a list. There might be some undesired words or symbols (like special symbols, blankspaces), which can be filtered inorder to ease the counts and get the desired results. After counting each word, we also can have the count of most (say 10 or 20) frequent words.
Modules and Library functions used :
requests: Will allow you to send HTTP/1.1 requests and many more.
beautifulsoup4: For pulling data out of HTML and XML files.
operator: Exports a set of efficient functions corresponding to the intrinsic operators.
collections: Implements high-performance container datatypes.
Below is the implementation of above discussed idea :
[('to', 10), ('in', 7), ('is', 6), ('language', 6), ('the', 5), ('programming', 5), ('a', 5), ('c', 5), ('you', 5), ('of', 4)]
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