- AJAX: http://api.jquery.com/jquery.ajax/, https://www.w3schools.com/js/js_ajax_intro.asp
- Browser developer tools: https://developers.google.com/web/tools/chrome-devtools/, https://developer.mozilla.org/son/docs/Tools
- Cookies: https://www.aboutcookies.org/ , http://www.allaboutcookies.org/
- CSRF: https://www.owasp.org/index.php/Cross-Site_Request_Forgery_(CSRF)
- HTML forms: https://www.w3schools.com/html/html_forms.asp, https://developer.mozilla.org/en-US/docs/Learn/HTML/Forms
- HTTP: https://www.w3.org/Protocols/
- HTTP headers: http://jkorpela.fi/http.html
- HTTP session: https://developer.mozilla.org/en-US/docs/Web/HTTP/Session
- Web scraping sandbox: http://toscrape.com/
- Web scraper testing ground: http://testing-ground.scraping.pro/
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Book Overview & Buying
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Table Of Contents
Hands-On Web Scraping with Python
By :
Hands-On Web Scraping with Python
By:
Overview of this book
Web scraping is an essential technique used in many organizations to gather valuable data from web pages. This book will enable you to delve into web scraping techniques and methodologies.
The book will introduce you to the fundamental concepts of web scraping techniques and how they can be applied to multiple sets of web pages. You'll use powerful libraries from the Python ecosystem such as Scrapy, lxml, pyquery, and bs4 to carry out web scraping operations. You will then get up to speed with simple to intermediate scraping operations such as identifying information from web pages and using patterns or attributes to retrieve information. This book adopts a practical approach to web scraping concepts and tools, guiding you through a series of use cases and showing you how to use the best tools and techniques to efficiently scrape web pages. You'll even cover the use of other popular web scraping tools, such as Selenium, Regex, and web-based APIs.
By the end of this book, you will have learned how to efficiently scrape the web using different techniques with Python and other popular tools.
Table of Contents (20 chapters)
Preface
Chapter 1: Web Scraping Fundamentals
Chapter 2: Python Programming for Data and Web
Part 2:Beginning Web Scraping
Chapter 3: Searching and Processing Web Documents
Chapter 4: Scraping Using PyQuery, a jQuery-Like Library for Python
Chapter 5: Scraping the Web with Scrapy and Beautiful Soup
Part 3:Advanced Scraping Concepts
Chapter 6: Working with the Secure Web
Chapter 7: Data Extraction Using Web APIs
Chapter 8: Using Selenium to Scrape the Web
Chapter 9: Using Regular Expressions and PDFs
Part 4:Advanced Data-Related Concepts
Chapter 10: Data Mining, Analysis, and Visualization
Chapter 11: Machine Learning and Web Scraping
Part 5:Conclusion
Chapter 12: After Scraping – Next Steps and Data Analysis
Index
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