Here we have to count the frequently used words, and it will extract data from the dynamic sources. We will perform this code in python for data science.
First, we will take the help of request module and beautiful soup module for creating a web crawler. This crawler will extract data from web pages and then store them in a list. We can filter out some undesired words or symbols for easing the count and getting the desired results. After the count of each word, we can also count the top occurring frequent words( suppose top 10 or 20).
Modules and Library functions used:
Below we have shown the implementation.
So, to learn more about it in python for data science, you can check this and this as well.