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Hands-On Web Scraping with Python

You're reading from   Hands-On Web Scraping with Python Perform advanced scraping operations using various Python libraries and tools such as Selenium, Regex, and others

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Product type Paperback
Published in Jul 2019
Publisher Packt
ISBN-13 9781789533392
Length 350 pages
Edition 1st Edition
Languages
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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 (16) Chapters Close

Preface 1. Section 1: Introduction to Web Scraping FREE CHAPTER
2. Web Scraping Fundamentals 3. Section 2: Beginning Web Scraping
4. Python and the Web – Using urllib and Requests 5. Using LXML, XPath, and CSS Selectors 6. Scraping Using pyquery – a Python Library 7. Web Scraping Using Scrapy and Beautiful Soup 8. Section 3: Advanced Concepts
9. Working with Secure Web 10. Data Extraction Using Web-Based APIs 11. Using Selenium to Scrape the Web 12. Using Regex to Extract Data 13. Section 4: Conclusion
14. Next Steps 15. Other Books You May Enjoy

Introduction to pyquery

pyquery is a jQuery-like library for Python that uses the lxml library. This provides an easy and interactive environment for dealing with markup elements in terms of manipulation and traversal purposes.

pyquery expressions are also similar to jquery, and users with jquery knowledge will find it more convenient to use in Python.

The pyquery Python library, as its name suggests, enhances query writing procedures related to elements found in XML and HTML. pyquery shortens element processing and provides a more insightful scripting approach that is fit for scraping and DOM-based traversal and manipulation tasks.

pyquery expressions use CSS selectors to perform queries, alongside additional features that it implements. For example, the following expression is used by pyquery:

page.find('a').attr('href')    -- (pyquery expression)  

The following...

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