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

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

by Simon Munzert, Christian Rubba, Peter Meissner, Dominic Nyhuis
January 2015
Intermediate to advanced
480 pages
14h 15m
English
Wiley
Content preview from Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining

16 Gathering data on mobile phones

In this case study, we gather data on pricing, costumer rating, and sales ranks of a broad range of mobile phones sold on amazon.com, wondering about the price segments covered by leading producers of mobile phones. Amazon sells a broad range of products, allowing us to get comprehensive summary of the products from each of the big mobile phone producers.

The case study makes use of the packages RCurl, XML, and stringr and it features search page manipulation, link extraction, and page downloads using the RCurl curl handle. After reading the case study, you should be able to search information in source code and to apply XPath in real-life problems. Furthermore, within this case study a SQLite database is created to store data in a consistent way and make it reusable for the next case study.

16.1 Page exploration

16.1.1 Searching mobile phones of a specific brand

Amazon sells all kinds of products. Our first task is therefore to restrict the product search to certain categories and specific producers. Furthermore, we have to find a way to exclude accessories or used phones.

Let us have a look at the Amazon website: www.amazon.com. Check out the search bar at the top of the page—see also Figure 16.1. In addition to typing in search keywords, we can select the department in which we want to search. Do the following:

  1. Type Apple into the search bar and press enter.
  2. Select Cell Phones & Accessories from the search ...
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Publisher Resources

ISBN: 9781118834800Purchase book