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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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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

Using Regular Expressions and PDFs

So far, we have learned about and explored some of the core Python libraries in the context of web communication, content reading, and browser automation, for data finding and extraction.

Regular expressions (also referred to as Regex, regex, or RegEx – we will use regex throughout the rest of this chapter) are built using a predefined set of characters to form a pattern used for searching and similar activities. In Chapters 3 and 4, when carrying out web scraping, we tested and applied various available features, such as CSS selectors, XPath, and PyQuery, to find and locate specific types of activities. Regex helps us with pattern matching – we are knowingly or unknowingly using regex most of the time while working on documents or any textual content.

In a data-related context, it is very hard to avoid activities such as finding, searching, and matching. Regex provides us with a simple and elegant approach to dealing with such...

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