Part 2 - Easy ways to collect different types of data from the web with R

November 30, 2016 Garrett Grolemund

The internet is a treasure trove of data, if you know how to collect it. In this two part series of webinars, we will examine easy ways to collect different types of data from the web with R.

In Part 2 we will use the rvest package to extract data that is not provided through an API from the web. How do you collect data that the web developer hasn’t packaged nicely in an API for your consumption? By searching for the data in the page’s HTML structure and extracting it in a surgical way. The rvest package contains several tools that make this process easy and automatable. We will examine these tools along with the background knowledge of HTML and CSS that they depend on.

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About the Author

Garrett Grolemund

Garrett is a data scientist and master instructor for RStudio. He excels at teaching, statistics, and teaching statistics. He wrote the popular lubridate package and is the author of Hands On Programming with R and the upcoming book, Data Science with R, from O’Reilly Media. He holds a PhD in Statistics and specializes in Data Visualization.

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Part 1 - Easy ways to collect different types of data from the web with R
Part 1 - Easy ways to collect different types of data from the web with R

Easy ways to collect different types of data from the web with R.

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