Web Scraping: Scaling up Digital Data Collection

March 5, 2014
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(This article was first published on Quantifying Memory, and kindly contributed to R-bloggers)

The latest slides from web scraping through R: Web scraping for the humanities and social sciences

Slides from the first session here

Slides from the second session here

This week we look in greater detail at scaling up digital data-collection: coercing scraper output into dataframes, how to download files (along with a cursory look at the state of IP law), cover basic text-manipulation in R, and take a first look at working with the APIs (share counts on Facebook).

Download the .Rpres file to use in Rstudio here

A regular R script with code-snippets only can be accessed here

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