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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
Languages
Tools
Concepts
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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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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

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

Apache Arrow

URL 285

Apache Parquet 285

URL 285

Apache Spark 283

URL 283

application programming interfaces (APIs)

data formats and patterns 162, 163

used, for web scraping 166

Apriori 260

artificial intelligence (AI) 221

ASP.NET 144

ASP.NET-based form management

reference link 144

association 260

Association Rule Mining (ARM) 260

association rules 224

Asynchronous JavaScript and XML (AJAX) 14, 15

reference link 15

B

Beautiful Soup

elements, searching 114, 115

elements, traversing 114-116

exploring 112

find_all() method 117-119

find() method 116, 117

installing 111, 112

iteration 121

next_element 119, 120

parsing 112-114

previous_element 119, 120

reference link 111

used, for web scraping 121...

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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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See other products by Anish Chapagain
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