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Learning R Programming

You're reading from  Learning R Programming

Product type Book
Published in Oct 2016
Publisher Packt
ISBN-13 9781785889776
Pages 582 pages
Edition 1st Edition
Languages
Author (1):
Kun Ren Kun Ren
Profile icon Kun Ren

Table of Contents (21) Chapters

Learning R Programming
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
1. Quick Start 2. Basic Objects 3. Managing Your Workspace 4. Basic Expressions 5. Working with Basic Objects 6. Working with Strings 7. Working with Data 8. Inside R 9. Metaprogramming 10. Object-Oriented Programming 11. Working with Databases 12. Data Manipulation 13. High-Performance Computing 14. Web Scraping 15. Boosting Productivity

Analysing HTML code and extracting data


In the previous sections, we learned the basics of HTML, CSS, and XPath. To scrape real-world web pages, the problem now becomesa question of writing the proper CSS or XPath selectors. In this section, we introduce some simple ways to figure out working selectors.

Suppose we want to scrape all available R packages at https://cran.rstudio.com/web/packages/available_packages_by_name.html. The web page looks simple. To figure out the selector expression, right-click on the table and select Inspect Element in the context menu, which should be available in most modern web browsers:

Then the inspector panel shows up and we can see the underlying HTML of the web page. In Firefox and Chrome, the selected node is highlighted so it can be located more easily:

The HTML contains a unique <table> so we can directly use table to select it and use html_table() to extract it out as a data frame:

page <- read_html("https://cran.rstudio.com/web/packages/available_packages_by_name...
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