Ultimate Guide To Scrapy
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Ultimate Guide To Scrapy

About the Book

More and more people are learning web scraping in Python3 but I found out there is no good resources for people to learn Scrapy, which is the most powerful web scraping framework in Python world, considering I have rich experience in this area, so I decide to publish a book to help people, and I plan to continuously add more useful content to this book in future.

The code of many web scraping tutorial soon become unhelpful if the target website changes its structure or implement a new anti-spider policy, which makes reader scratch head and wants somebody who can help them. That is why I include the web scraping exercises in this book, my goal is to try to break down a complex mission such as crawling a bunch of websites to some small tasks so people can try to solve them step by step. 

Who is this book for:

This book is for anyone interested in web scraping in Python3

You can get started if you have no tech background.

About the Author


Michael Yin is a full stack developer from China, and he loves to write high-quality tutorial about programming.

He has published 5 books on Leanpub.

He also published Celery courses on testdriven.io

He is also the founder of a Digital Agency AccordBox and available for remote job.

Table of Contents

  • Preface
    • Why I wrote this book
    • Who is this book for
    • What if you have problem or suggestions
  • Scrapy Tutorial #1: Scrapy VS Beautiful Soup
    • Introduction:
    • Talk About BeautifulSoup
    • Talk About Scrapy
    • Which one should you choose?
    • Conclusion
    • Resources
  • Web Scraping Framework Review: Scrapy VS Selenium
    • Introduction:
    • Talk About Selenium
    • Talk About Scrapy
    • Which One Should You Choose?
    • Conclusion
  • Scrapy Tutorial #2: How To Install Scrapy On Mac
    • Introduction:
    • Basic Points
    • Quick way to install Scrapy on Mac
    • More decent way to install Scrapy on Mac
    • ipython shell
    • Special Thank
  • Scrapy Tutorial #3: How To Install Scrapy On Linux
    • Introduction:
    • Basic Points
    • Quick and dirty way to install Scrapy on Linux
    • More decent way to install Scrapy on Linux
    • ipython shell
  • Scrapy Tutorial #4: How To Install Scrapy On Windows
    • Introduction:
    • Python Version
    • Quick way to install Scrapy on Windows
    • Some notes about install Scrapy on Windows
  • Scrapy Tutorial #5: How To Create Simple Scrapy Spider
    • Introduction:
    • Scrapy Commands
    • Create Simple Scrapy Project
    • Our first Scrapy spider
    • Conclusion
  • Scrapy Tutorial #6: Scrapy Shell Overview & Tips
    • Introduction:
    • Scrapy shell commands
    • Make Your Scrapy Shell More Powerful
    • Conclusion
  • Scrapy Tutorial #7: How to use XPath with Scrapy
    • Introduction:
    • Basic points of Xpath
    • Advanced Xpath
    • How to get XPath in Chrome
    • How to get XPath in Firefox
    • Conclusion
  • Scrapy Tutorial #8: Scrapy Selector Guide
    • Introduction:
    • Description
    • Constructing Selectors
    • How to use Scrapy selectors
    • Nesting Selectors
    • Conclusion
  • Scrapy Tutorial #9: How To Use Scrapy Item
    • Introduction:
    • Scrapy Item VS Python Dict
    • How To Define Scrapy Item & How To Use It
    • Item Pipeline
    • Activate Pipeline
    • Run Spider & Check Databse
    • TroubleShoot:
    • Conclusion
  • Scrapy Tutorial #10: How To Build A Real Spider
    • Introduction:
    • Analyze Dom Element In Browser DevTools
    • Testing Code in Scrapy Shell
    • Write Spider code
    • Handle Pagination
    • Conclusion
  • Scrapy Tutorial #11: How To Extract Data From Native Javascript Statement
    • CSS expression and XPath expression are not silver bullet
    • Inspect HTML source
    • Regex to extract the data, JSON to load the data
    • Are there some good resources or tools for me to learn regex?
    • Are there any other ways to crawl data from javascript
    • Real world example
  • How to Crawl Infinite Scrolling Pages using Python
    • Introduction
    • Background Context
    • Analyze web page
    • Workflow Chart
    • Scrapy solution
    • BeautifulSoup solution
    • What’s Next and What Have You Learned?

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