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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
LinkedIn
Anish Chapagain is a software engineer with a passion for data science, its processes, and Python programming, which began around 2007. He has been working with web scraping and analysis-related tasks for more than 5 years, and is currently pursuing freelance projects in the web scraping domain. Anish previously worked as a trainer, web/software developer, and as a banker, where he was exposed to data and gained further insights into topics including data analysis, visualization, data mining, information processing, and knowledge discovery. He has an MSc in computer systems from Bangor University (University of Wales), United Kingdom, and an Executive MBA from Himalayan Whitehouse International College, Kathmandu, Nepal.
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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

Summary

Websites are dynamic in nature, so the fundamental activities introduced in this chapter will be applicable in most cases. We also explained and explored some of the core technologies related to the World Wide Web (WWW) and web scraping. Identifying or finding content with the use of DevTools and page sources for targeted content was the focus of this chapter. This information will guide you through various aspects of taking primary and professional steps in web scraping.

In the next chapter, we will be using the Python programming language to interact with the web or data sources and explore a few main libraries that we have chosen for data extraction.

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Authors (1)

Profile icon Anish Chapagain
Anish Chapagain
LinkedIn icon Github icon
Anish Chapagain is a software engineer with a passion for data science, and artificial intelligence, its processes and Python programming, which began around 2007. He has been working with web scraping, data analysis, visualization and reporting-related tasks, projects for more than 10 years, and is also working as freelancer. Anish previously worked as a trainer, web/software developer, team leader, and as a banker, where he was exposed to data and gained further insights into topics like data mining, data analysis, reporting, information processing and knowledge discovery. He has an MSc in computer systems from Bangor University (United Kingdom), and an Executive MBA from Himalayan Whitehouse International College, Kathmandu, Nepal.
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