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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
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Table of Contents (17) Chapters Close

Title Page
Copyright and Credits Dedication
About Packt Contributors Preface 1. Web Scraping Fundamentals FREE CHAPTER 2. Python and the Web – Using urllib and Requests 3. Using LXML, XPath, and CSS Selectors 4. Scraping Using pyquery – a Python Library 5. Web Scraping Using Scrapy and Beautiful Soup 6. Working with Secure Web 7. Data Extraction Using Web-Based APIs 8. Using Selenium to Scrape the Web 9. Using Regex to Extract Data 10. Next Steps 1. Other Books You May Enjoy

About the reviewers

Radhika Datar has more than 5 years' experience in software development and content writing. She is well versed in frameworks such as Python, PHP, and Java, and regularly provides training on them. She has been working with Educba and Eduonix as a training consultant since June 2016, while also working as a freelance academic writer in data science and data analytics. She obtained her master's degree from the Symbiosis Institute of Computer Studies and Research and her bachelor's degree from K. J. Somaiya College of Science and Commerce.

 

 

Rohit Negi completed his bachelor of technology in computer science from Uttarakhand Technical University, Dehradun. His bachelor's curriculum included a specialization in computer science and applied engineering. Currently, he is working as a senior test consultant at Orbit Technologies and provides test automation solutions to LAM Research (USA clients). He has extensive quality assurance proficiency working with the following tools: Microsoft Azure VSTS, Selenium, Cucumber/BDD, MS SQL/MySQL, Java, and web scraping using Selenium. Additionally, he has a good working knowledge of how to automate workflows using Selenium, Protractor for AngularJS-based applications, Python for exploratory data analysis, and machine learning.

 

 

 

 

 

 

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