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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 2. Data Acquisition and Extraction FREE CHAPTER 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

Respecting robots.txt

Many sites want to be crawled. It is inherent in the nature of the beast: Web hosters put content on their sites to be seen by humans. But it is also important that other computers see the content. A great example is search engine optimization (SEO). SEO is a process where you actually design your site to be crawled by spiders such as Google, so you are actually encouraging scraping. But at the same time, a publisher may only want specific parts of their site crawled, and to tell crawlers to keep their spiders off of certain portions of the site, either it is not for sharing, or not important enough to be crawled and wast the web server resources.

The rules of what you are and are not allowed to crawl are usually contained in a file that is on most sites known as robots.txt. The robots.txt is a human readable but parsable file, which can be used to identify...

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