Learning Scrapy - Second Edition

Learn the art of efficient web scraping and crawling with Python

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Learning Scrapy - Second Edition

Dimitrios Kouzis-Loukas

Learn the art of efficient web scraping and crawling with Python

Quick links: > What will you learn?> Table of content

Access cutting-edge content as it's created

Want access to this book right now? Read as we develop it as part of our Early Access program. Click here to find out more about Early Access.

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Book Details

ISBN 139781788627450
Paperback365 pages

Book Description

Scrapy is an application framework designed specially for crawling web sites and extracting meaningful data which can be used for wide range of applications such as data mining, information processing and many more.This book will provide you with the rundown explaining all the required concepts and fundamentals of Scrapy 1.4 framework, followed by thorough description with practical examples to extract data from different sources ranging from simple to complex websites.

You will learn how to clean the data up and shape it as per your requirement using Python and third party APIs. You will explore the steps involved in scraping online data from online shops like eBay and from news portal like CNN and BBC news. You will also get a hands on experience of using Scrapy with Selenium. You will learn how to build and run web spiders and deploy them to Scrapy cloud. Next you will be introduced to the process of storing the scrapped data in databases as well as search engines to perform real time analytics with Spark Streaming. You will also be familiarized with the best practices that you can follow to get the optimum result.

By the end of this book, you will perfect the art of scraping data for your applications and apply them in your projects with ease

Table of Contents

Chapter 1: Introducing Scrapy
Hello Scrapy
More reasons to love Scrapy
About this book: aim and usage
The importance of mastering automated data scraping
Being a good citizen in a world full of spiders
What Scrapy is not
Summary
Chapter 2: Understanding HTML and XPath
HTML, the DOM tree representation, 
and the XPath
Summary
Chapter 3: Basic Crawling
Installing Scrapy
The system used in this book
UR2IM – the fundamental scraping process
A Scrapy project
Creating contracts
Extracting more URLs
Two-direction crawling with a spider
Two-direction crawling with a CrawlSpider
Summary
Chapter 4: Scraping news portals like CNN Time and BBC news
Crawling edition.cnn.com
Crawling time.com
Tidying up
Summary
Chapter 5: Scraping Online Shops Like eBay and newegg
Chapter 6: Quick Spider Recipes
Chapter 7: Deploying to Scrapinghub
Chapter 8: Scrapy with Selenium
Chapter 9: Configuration and Management
Chapter 10: Programming Scrapy
Chapter 11: Pipeline Recipes
Chapter 12: Scrapy Best Practices
Chapter 13: Understanding Scrapy's Performance
Chapter 14: Distributed Crawling with Scrapyd and Real-Time Analytics
Chapter 15: Appendix: Installing and troubleshooting prerequisite software

What You Will Learn

  • Understand HTML pages and write XPath to extract the data you need
  • Write Scrapy spiders with simple Python and do web crawls over news portal and online shops
  • Push your data into any database, search engine or analytics system
  • Discover the steps involved in scraping Javascript sites with Selenium
  • Use Twisted Asynchronous API to process hundreds of items concurrently
  • Make your crawler super-fast by learning how to tune Scrapy's performance through best practices
  • Perform large scale distributed crawls with scrapyd and scrapinghub

Authors

Table of Contents

Chapter 1: Introducing Scrapy
Hello Scrapy
More reasons to love Scrapy
About this book: aim and usage
The importance of mastering automated data scraping
Being a good citizen in a world full of spiders
What Scrapy is not
Summary
Chapter 2: Understanding HTML and XPath
HTML, the DOM tree representation, 
and the XPath
Summary
Chapter 3: Basic Crawling
Installing Scrapy
The system used in this book
UR2IM – the fundamental scraping process
A Scrapy project
Creating contracts
Extracting more URLs
Two-direction crawling with a spider
Two-direction crawling with a CrawlSpider
Summary
Chapter 4: Scraping news portals like CNN Time and BBC news
Crawling edition.cnn.com
Crawling time.com
Tidying up
Summary
Chapter 5: Scraping Online Shops Like eBay and newegg
Chapter 6: Quick Spider Recipes
Chapter 7: Deploying to Scrapinghub
Chapter 8: Scrapy with Selenium
Chapter 9: Configuration and Management
Chapter 10: Programming Scrapy
Chapter 11: Pipeline Recipes
Chapter 12: Scrapy Best Practices
Chapter 13: Understanding Scrapy's Performance
Chapter 14: Distributed Crawling with Scrapyd and Real-Time Analytics
Chapter 15: Appendix: Installing and troubleshooting prerequisite software

Book Details

ISBN 139781788627450
Paperback365 pages
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