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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

Deploying a web crawler

Deploying a web crawler online or on a live server will certainly improve the effectiveness of the crawling activity, with its speed, updated technology, web spaces, anytime usage, and so on. Local tests and confirmation are required before deploying online. We need to own or buy web spaces with web-hosting companies or the cloud server.

Scrapy Cloud at https://scrapinghub.com/scrapy-cloud from Scrapinghub at https://scrapinghub.com/ is one of the best platforms to deploy and manage the Scrapy Spider. The Scrapy Cloud provides an easy and interactive interface to deploy Scrapy and is free, with some of the additional features listed here:

  • Coding/managing and running Spider
  • Deploying Spider to cloud
  • Downloading and sharing data
  • API access with resource management

The following are the steps performed to deploy projects using Scrapy Cloud:

  1. Open the web...
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