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Hands-On Web Scraping with Python

You're reading from   Hands-On Web Scraping with Python Extract quality data from the web using effective Python techniques

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Product type Paperback
Published in Oct 2023
Publisher Packt
ISBN-13 9781837636211
Length 324 pages
Edition 2nd Edition
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Author (1):
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Anish Chapagain Anish Chapagain
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Anish Chapagain
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Table of Contents (20) Chapters Close

Preface 1. Part 1:Python and Web Scraping
2. Chapter 1: Web Scraping Fundamentals FREE CHAPTER 3. Chapter 2: Python Programming for Data and Web 4. Part 2:Beginning Web Scraping
5. Chapter 3: Searching and Processing Web Documents 6. Chapter 4: Scraping Using PyQuery, a jQuery-Like Library for Python 7. Chapter 5: Scraping the Web with Scrapy and Beautiful Soup 8. Part 3:Advanced Scraping Concepts
9. Chapter 6: Working with the Secure Web 10. Chapter 7: Data Extraction Using Web APIs 11. Chapter 8: Using Selenium to Scrape the Web 12. Chapter 9: Using Regular Expressions and PDFs 13. Part 4:Advanced Data-Related Concepts
14. Chapter 10: Data Mining, Analysis, and Visualization 15. Chapter 11: Machine Learning and Web Scraping 16. Part 5:Conclusion
17. Chapter 12: After Scraping – Next Steps and Data Analysis 18. Index 19. Other Books You May Enjoy

Technical requirements

You will require a web browser (Google Chrome or Mozilla Firefox) and we will be using JupyterLab for Python code.

Please refer to the Setting things up and Creating a virtual environment sections of Chapter 2 to continue with setting up and using the environment created. We will be using Google Chrome with Selenium WebDriver v4.10.0.

To install the selenium Python library, the following links will be very helpful:

We will require the following Python libraries for this chapter:

  • requests
  • selenium
  • re
  • csv
  • json

The code files for this chapter are available online in this book’s GitHub repository: https://github.com/PacktPublishing/Hands-On-Web-Scraping-with-Python-Second-Edition/tree/main/Chapter08.

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