Most of the data on the web is in large scale as HTML. It is often not available in a form that is useful for analysis, such as hierarchical or tree-based:
<html>
<head>
<title>Looks like a tittle</title>
</head>
<body>
<p align="center">What's up ?</p>
</body>
</html>
rvest is a very useful R library that helps you collect information from web pages. It is designed to work with magrittr, inspired by libraries such as BeatifulSoup.
To start the web scraping process, you first need to master the R bases. In this section, we will perform web scraping step by step, using the rvest R package written by Hadley Wickham.
For more information about the rvesr package, visit the following URLs.CRAN Page: https://cran.r-project.org/web/packages/rvest/index.html rvest on github: https://github.com...
