simonmunzert / rscraping-aapor-2017

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A Primer to Web Scraping with R

Summary

The internet offers a wealth of opportunities to learn about public opinion and social behavior. Data from social networks, search engines or web services open avenues for new ways of measuring human behavior and preferences in previously unknown velocity and variety. Fortunately, the open source programming language R provides advanced functionality to gather data from virtually any imaginable data source on the Web - via classical screen scraping approaches, automated browsing, or by tapping APIs. This allows researchers to stay in one programming environment in the processes of data collection, tidying, analysis, and publication. The talk gives an overview of web technologies fundamental to gather data from internet resources. Further, we will learn about state-of-the-art tools and packages for web scraping with R. Finally, we will also discuss subtleties of the web scraping workflow, such as how to ensure reproducibility and to stay friendly on the web.

Event

AAPOR Webinar

Date and Venue

Wednesday, April 12, 2017, 12:00 - 1:30 PM CDT. Register here.

Instructor

Simon Munzert (website, Twitter)

About this repository

This repository provides supplementary materials to the talk. (Almost) all examples introduced on the slides can be reproduced using the R code documented here.

Accompanying book

Together with Christian Rubba, Peter Meissner, and Dominic Nyhuis, I've written a book on Automated Data Collection with R. Participants might find it useful to consult it as further reading after the webinar.

Technical setup to get the R code to run

Please make sure that the current version of R is installed. If not, update from here: https://cran.r-project.org/

Obviously, feel free to choose the coding environment you feel most comfortable with. I'll use RStudio in the course. You might want to use it, too: https://www.rstudio.com/products/rstudio/download/

Erratum for Windows users

A way to solve an encoding issue on Windows machines in the breweries example, as suggested by Stas Kolenikov:

Replace this line

locations <- str_extract(breweries, "[[:digit:]].+?–")

with the following:

locations <- str_extract(gsub(intToUtf8(0x2013),"-",breweries),"[[:digit:]].+?-")

Online resources

Area URL Short description
Web technologies, general http://www.w3.org/ Base of the World Wide Web Consortium (W3C), also provides access to standards and drafts of web technologies
http://w3schools.com Great tutorial playground to learn web technologies interactively
https://w3techs.com/technologies Overview of all kinds of web technologies
XML and XPath http://selectorgadget.com/ Probably the most useful tool for generating CSS selectors and XPath expressions with a simple point-and-click approach
http://www.xmlvalidation.com/ Online XML validator
http://www.rssboard.org/ Information about the Really Simple Syndication standard
CSS selectors http://www.w3schools.com/cssref/css_selectors.asp W3 Schools CSS reference
http://flukeout.github.io/ Interactive CSS selectors tutorial
JSON http://www.json.org/ Base of the JSON data interchange standard
http://jsonformatter.curiousconcept.com Formatting tool for JSON content
HTTP http://httpbin.org HTTP Request and Response Service; useful to debug HTTP queries
http://useragentstring.com Tool to figure out what's behind a User-agent string
http://curl.haxx.se/libcurl/ Documentation of the libcurl library
http://www.robotstxt.org/ Information about robots.txt
OAuth http://oauth.net Information about the Oauth authorization standard
http://hueniverse.com/oauth Great overview of Oauth 1.0
Database technologies http://db-engines.com Compendium of existing database management systems
https://www.thoughtworks.com/insights/blog/nosql-databases-overview Intro to NoSQL databases
Regular expressions http://www.pcre.org/ Description of Perl Compatible Regular Expressions
https://stat.ethz.ch/R-manual/R-devel/library/base/html/regex.html Regular Expressions as used in base R
http://regexone.com/ Online regex tutorial
http://regex101.com Regex testing environment
http://www.regexplanet.com/ Another regex testing environment
http://stackoverflow.com/questions/1732348/regex-match-open-tags-except-xhtml-self-contained-tags/1732454#1732454 The truth about HTML parsing with regular expressions
https://www.youtube.com/watch?v=Cv2DpwSCgRw Yes, there's a regex song
Selenium http://docs.seleniumhq.org Selenium documentation
APIs http://www.programmableweb.com/apis Overview of many existing web APIs
http://ropensci.org/ Platform for R packages that provide access to science data repositories
R http://cran.r-project.org/web/views/WebTechnologies.html CRAN Task View on Web Technologies and Services - useful to stay in the loop of what's possible with R
http://tryr.codeschool.com/ An excellent interactive primer for learning R
http://www.r-bloggers.com/ Blog aggregator which collects entries from many R-related blogs
http://planetr.stderr.org Blog aggregator providing information about new R packages and scientific work related to R
http://dirk.eddelbuettel.com/cranberries/ Dirk Eddelbuetttel's CRANberries blog keeps you up-to-date on new and updated R packages
http://www.omegahat.org/ Home of the "Omega Project for Statistical Computing"; documentation of many important R packages dealing with web-based data
https://github.com/ropensci/user2016-tutorial#extracting-data-from-the-web-apis-and-beyond Web API tutorial from useR 2016 conference by Scott Chamberlain, Karthik Ram, and Garrett Grolemund
General web scraping http://r-datacollection.com Probably the most useful resource of all
http://www.stata-datacollection.com Now let's see if that works…
Legal issues http://www.eff.org/ Electronic Frontier Foundation, a non-profit organisation which advocates digital rights
http://blawgsearch.justia.com/ Search engine for law blogs -- useful if you want to stay informed about recent jurisdiction on digital issues
http://en.wikipedia.org/wiki/Web_scraping See the section on "Legal issues"

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