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Ultimate Guide To Scrapy

This book will help you learn web scraping using Scrapy in Python3.

You can also get many exercises in this book which I wrote exclusively for this tutorial. All exercises are from real websites and help you become a master in web scraping in Python3.

 

All relevant source codes are hosted on Github, you can get them to get started as you like.

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About

About

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.

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Author

About the Author

MichaelYin

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.

Contents

Table of Contents

Preface

  1. Why I wrote this book
  2. Who is this book for
  3. What if you have problem or suggestions

Scrapy Tutorial #1: Scrapy VS Beautiful Soup

  1. Introduction:
  2. Talk About BeautifulSoup
  3. Talk About Scrapy
  4. Which one should you choose?
  5. Conclusion
  6. Resources

Web Scraping Framework Review: Scrapy VS Selenium

  1. Introduction:
  2. Talk About Selenium
  3. Talk About Scrapy
  4. Which One Should You Choose?
  5. Conclusion

Scrapy Tutorial #2: How To Install Scrapy On Mac

  1. Introduction:
  2. Basic Points
  3. Quick way to install Scrapy on Mac
  4. More decent way to install Scrapy on Mac
  5. ipython shell
  6. Special Thank

Scrapy Tutorial #3: How To Install Scrapy On Linux

  1. Introduction:
  2. Basic Points
  3. Quick and dirty way to install Scrapy on Linux
  4. More decent way to install Scrapy on Linux
  5. ipython shell

Scrapy Tutorial #4: How To Install Scrapy On Windows

  1. Introduction:
  2. Python Version
  3. Quick way to install Scrapy on Windows
  4. Some notes about install Scrapy on Windows

Scrapy Tutorial #5: How To Create Simple Scrapy Spider

  1. Introduction:
  2. Scrapy Commands
  3. Create Simple Scrapy Project
  4. Our first Scrapy spider
  5. Conclusion

Scrapy Tutorial #6: Scrapy Shell Overview & Tips

  1. Introduction:
  2. Scrapy shell commands
  3. Make Your Scrapy Shell More Powerful
  4. Conclusion

Scrapy Tutorial #7: How to use XPath with Scrapy

  1. Introduction:
  2. Basic points of Xpath
  3. Advanced Xpath
  4. How to get XPath in Chrome
  5. How to get XPath in Firefox
  6. Conclusion

Scrapy Tutorial #8: Scrapy Selector Guide

  1. Introduction:
  2. Description
  3. Constructing Selectors
  4. How to use Scrapy selectors
  5. Nesting Selectors
  6. Conclusion

Scrapy Tutorial #9: How To Use Scrapy Item

  1. Introduction:
  2. Scrapy Item VS Python Dict
  3. How To Define Scrapy Item & How To Use It
  4. Item Pipeline
  5. Activate Pipeline
  6. Run Spider & Check Databse
  7. TroubleShoot:
  8. Conclusion

Scrapy Tutorial #10: How To Build A Real Spider

  1. Introduction:
  2. Analyze Dom Element In Browser DevTools
  3. Testing Code in Scrapy Shell
  4. Write Spider code
  5. Handle Pagination
  6. Conclusion

Scrapy Tutorial #11: How To Extract Data From Native Javascript Statement

  1. CSS expression and XPath expression are not silver bullet
  2. Inspect HTML source
  3. Regex to extract the data, JSON to load the data
  4. Are there some good resources or tools for me to learn regex?
  5. Are there any other ways to crawl data from javascript
  6. Real world example

How to Crawl Infinite Scrolling Pages using Python

  1. Introduction
  2. Background Context
  3. Analyze web page
  4. Workflow Chart
  5. Scrapy solution
  6. BeautifulSoup solution
  7. What’s Next and What Have You Learned?

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