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Python Web Scraping Cookbook

You're reading from   Python Web Scraping Cookbook Over 90 proven recipes to get you scraping with Python, microservices, Docker, and AWS

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Product type Paperback
Published in Feb 2018
Publisher Packt
ISBN-13 9781787285217
Length 364 pages
Edition 1st Edition
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Author (1):
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Michael Heydt Michael Heydt
Author Profile Icon Michael Heydt
Michael Heydt
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Table of Contents (13) Chapters Close

Preface 1. Getting Started with Scraping FREE CHAPTER 2. Data Acquisition and Extraction 3. Processing Data 4. Working with Images, Audio, and other Assets 5. Scraping - Code of Conduct 6. Scraping Challenges and Solutions 7. Text Wrangling and Analysis 8. Searching, Mining and Visualizing Data 9. Creating a Simple Data API 10. Creating Scraper Microservices with Docker 11. Making the Scraper as a Service Real 12. Other Books You May Enjoy

Using identifiable user agents

What happens if you violate the terms of service and get flagged by the website owner? How can you help the site owners in contacting you, so that they can nicely ask you to back off to what they consider a reasonable level of scraping?

What you can do to facilitate this is add info about yourself in the User-Agent header of the requests. We have seen an example of this in robots.txt files, such as from amazon.com. In their robots.txt is an explicit statement of a user agent for Google: GoogleBot.

During scraping, you can embed your own information within the User-Agent header of the HTTP requests. To be polite, you can enter something such as 'MyCompany-MyCrawler ([email protected])'. The remote server, if tagging you in violation, will definitely be capturing this information, and if provided like this, it gives them a convenient means...

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