Web-Scrapping-using-R

In this project we have scrapped the top 50 richest athletes data using R language.

Overview

We have used R language to do web scraping for top richest 50 athletes. We scrap the data from this website. We have installed some libraries first. These are:

• rvest - helps to scrape (or harvest) data from web pages.
• stringr - provides a cohesive set of functions designed to make working with strings as easy as possible
• tibble - helps to create create data frames

Then we create a loop to scrap multiple pages and convert the html format into xml using read_html() function and put them into a dataframe

Extracting names

Extracting networth

Extracting Age

Extracting Country

Combining all the lists and creating a dataframe and save the dataframe into a csv file

Conclusion

After all the steps followed we finally able to find the scrapped data into this csv file - top athletes