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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
2. Web Scraping Fundamentals FREE CHAPTER 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

Machine learning

ML is a branch of artificial intelligence (AI) that deals with the study of mathematical and statistical algorithms to process and develop an automated system that can learn from data with minimal human involvement. ML predictions and decision-making models are dependent on data. Web scraping is one of the resources that makes data available to ML models.

Nowadays, many recommendation engines implement ML in order to serve the marketing ads and recommendations such as Google AdSense and AdWords in real time. The process that's implemented in ML is similar to that of data mining and predictive modeling. Both of these concepts seek patterns while skimming through data and modifying the program's actions as per the requirements. Therefore, ML is a handy tool when it comes to exploring the field of business, marketing, retail, stock prices, video surveillance...

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