Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining

A hands on guide to web scraping and text mining for both beginners and experienced users of R

• Introduces fundamental concepts of the main architecture of the web and databases and covers HTTP, HTML, XML, JSON, SQL.
• Provides basic techniques to query web documents and data sets (XPath and regular expressions).
• An extensive set of exercises are presented to guide the reader through each technique.
• Explores both supervised and unsupervised techniques as well as advanced techniques such as data scraping and text management.
• Case studies are featured throughout along with examples for each technique presented.
• R code and solutions to exercises featured in the book are provided on a supporting website.

Simon Munzert is the author of Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining, published by Wiley.

Christian Rubba is the author of Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining, published by Wiley.

Peter Meißner is the author of Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining, published by Wiley.

Dominic Nyhuis is the author of Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining, published by Wiley.