Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in Oct 2023
Publisher Packt
ISBN-13 9781837636211
Length 324 pages
Edition 2nd Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Anish Chapagain Anish Chapagain
Author Profile Icon Anish Chapagain
Anish Chapagain
Arrow right icon
View More author details
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

Python Programming for Data and Web

In Chapter 1, you got an idea of what web scraping is, what core technologies exist, and how and where you can plan to find the resources or data you’re looking for.

Web scraping requires tools and techniques to be implemented and deployed using scripts or programs. We have chosen Python (https://www.python.org/) for this purpose, as it is very easy to learn and has a huge set of libraries for communicating with the World Wide Web (WWW), data-related processes, and finally, web scraping. In internet search results, we often find Python mentioned in conjunction with data science and Machine Learning (ML). This is because of the wide use of Python in such projects.

In this chapter, we will explore the key benefits of Python and communicate with web resources using Python libraries. This chapter will also provide a detailed overview of installing and using Python libraries such as requests and urllib.

In particular, we will learn about...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime