R Web Scraping Quick Start Guide: Techniques and tools to crawl and scrape data from websites

Cover
Title Page
Copyright and Credits
Dedication
Packt Upsell
Contributors
Table of Contents
Preface
Chapter 1: Introduction to Web Scraping
	Learning about data on the internet
	Introduction to XPath (XML Path)
	Data extraction systems
	Web scraping techniques 
		 Traditional copy and paste
		Text grabbing and regular expression
		Document Object Model (DOM)
		Semantic annotation recognition
		Web scraping tools
			JavaScript tools
			Web crawling frameworks
		Web crawling environment in R
	Summary
Chapter 2: XML Path Language and Regular Expression Language
	XML Path (XPath)
		Nodes
		Relationships between nodes
			Parent
			Child
			Sibling
			Ancestor
			Descendant
		Predicates
		Selecting unknown nodes
		Selecting several paths
	Regular expression language (Regex)
		How to match a single character 
		How to match the characters of a set 
		How to match words 
	Exercises on RegEx and XPath
		RegEx exercises
		XPath exercises
	Summary
Chapter 3: Web Scraping with rvest
	Introducing rvest 
	Step-by-step web scraping with rvest
		Writing XPath rules
		Writing your first scraping script
		Playing with data
	Summary
Chapter 4: Web Scraping with Rselenium
	Advantages and disadvantages of using Selenium for web scraping
	RSelenium
	Step-by-step web scraping with RSelenium
		Collecting data with RSelenium
	Summary
Chapter 5: Storing Data and Creating Cronjob
	Cloud engine models
		Infrastructure as a service (IaaS)
		Platform as a service (PaaS)
		Software as a service (SaaS)
		Mobile backend as a service (MBaaS)
		Function as a service (FaaS)
	Some of the cloud services
		Amazon Web Services (AWS)
		Google Cloud
	Cronjob
	Storing data and creating schedule jobs for web scraping
		Creating an AWS RDS Instance
		Connecting to the PostgreSQL database on AWS
		Creating cronjob
	 Summary
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Index