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You're reading from  Python Web Scraping Cookbook

Product typeBook
Published inFeb 2018
Reading LevelBeginner
PublisherPackt
ISBN-139781787285217
Edition1st Edition
Languages
Python
Tools
Scrapy
Concepts
Data Mining
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Author (1)
Michael Heydt
Michael Heydt
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Michael Heydt

Michael Heydt is an independent consultant, programmer, educator, and trainer. He has a passion for learning and sharing his knowledge of new technologies. Michael has worked in multiple industry verticals, including media, finance, energy, and healthcare. Over the last decade, he worked extensively with web, cloud, and mobile technologies and managed user experiences, interface design, and data visualization for major consulting firms and their clients. Michael's current company, Seamless Thingies , focuses on IoT development and connecting everything with everything. Michael is the author of numerous articles, papers, and books, such as D3.js By Example, Instant Lucene. NET, Learning Pandas, and Mastering Pandas for Finance, all by Packt. Michael is also a frequent speaker at .NET user groups and various mobile, cloud, and IoT conferences and delivers webinars on advanced technologies.
Read more about Michael Heydt

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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 (mybot@mycompany.com)'. 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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Python Web Scraping Cookbook
Published in: Feb 2018Publisher: PacktISBN-13: 9781787285217
© 2018 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Michael Heydt

Michael Heydt is an independent consultant, programmer, educator, and trainer. He has a passion for learning and sharing his knowledge of new technologies. Michael has worked in multiple industry verticals, including media, finance, energy, and healthcare. Over the last decade, he worked extensively with web, cloud, and mobile technologies and managed user experiences, interface design, and data visualization for major consulting firms and their clients. Michael's current company, Seamless Thingies , focuses on IoT development and connecting everything with everything. Michael is the author of numerous articles, papers, and books, such as D3.js By Example, Instant Lucene. NET, Learning Pandas, and Mastering Pandas for Finance, all by Packt. Michael is also a frequent speaker at .NET user groups and various mobile, cloud, and IoT conferences and delivers webinars on advanced technologies.
Read more about Michael Heydt

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