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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

Setting the number of concurrent requests per domain

It is generally inefficient to crawl a site one URL at a time. Therefore, there is normally a number of simultaneous page requests made to the target site at any given time. Normally, the remote web server can quite effectively handle multiple simultaneous requests, and on your end you are just waiting for data to come back in for each, so concurrency generally works well for your scraper.

But this is also a pattern that smart websites can identify and flag as suspicious activity. And there are practical limits on both your crawler's end and the website. The more concurrent requests that are made, the more memory, CPU, network connections, and network bandwidth is required on both sides. These have costs involved, and there are practical limits on these values too.

So it is generally a good practice to set a limit on the...

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