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

Product type Paperback

Published in Oct 2023

Publisher Packt

ISBN-13 9781837636211

Length 324 pages

Edition 2nd Edition

Languages

Python

Tools

Pandas

Concepts

Web Programming

Author (1):

Anish Chapagain

View More author details

Table of Contents (20) Chapters

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

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Data extraction from a PDF

PDF is a rich (in terms of containing document features and formatting) document format that can be created, shared, and accessed on any supporting device. It is not an understatement to state that PDF files are everywhere, supported by all kinds of electronic devices and systems. It is also quite useful to know that Word documents, PowerPoint presentations, HTML, Jupyter notebooks, analysis reports from various applications, and many more content types support exporting and saving files as PDF.

We often find various types of data (such as textual, tabular, and images) in a PDF file. In Chapters 3 and 4, we saw how to extract web-based content using Python. Here, we will be using the PyPDF2 Python library to extract data from PDF files.

In the next sections, we will install and explore PyPDF2 from a data extraction perspective.