web_scraping

Welcome to the third part of the web scraping tutorial series. So far, we have managed to the web scrape Quotes to Scrape site and extract the 100 quote texts and author names into a data frame and thereafter into a .

From the previous tutorial, we got the chance to web scrape Toscrape and extract the information from the Quotes to Scrape site into a .csv file using R programming. From this exercise, we got the quote texts and author names into the quotes data frame.

There are numerous ways that one can get information from the Internet. While some of these ways are quite straight forward e.g., copying and pasting, extracting great volumes of data may prove to be cumbersome.