Web scraping is all about finding, extracting, and formatting data for later analysis.
Because of R’s built-in tools and libraries, web scraping in R is easy and scalable. That’s why it should be no surprise that it’s one of the most popular programming languages in the data science community.
But you’ve probably heard that Python is the most popular language among data scientists, haven’t you? Both are great options for aspiring web scrapers if you know how to use them.
In today’s article, we’ll explore the differences between web scraping in R and Python, and we’ll build a fully functional R script to extract large datasets with just a few lines of code.
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