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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
Author Profile Icon Anish Chapagain
Anish Chapagain
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Toc

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

Summary

Regex and its features are popular for use with not only unstructured but also structured data. Regex provides us with many options, and the code will definitely differ from one use case to another. An advantage of regex is that it can be applied in various cases; there might be a few more steps to deal with, but we can focus on the target using regex. The process of PDF extraction is still evolving. While there are other approaches that can be taken, regex is also one of the most important components of data-related tasks.

The topics covered in this chapter helped you to gain a practical perspective on using regex as required. Regex plays an irreplaceable role in the data extraction activity, unaffected by content structures and document types.

In the next chapter, we will be learning about data mining and data visualization.

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