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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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Toc

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

Retrying failed page downloads

Failed page requests can be easily handled by Scrapy using retry middleware. When installed, Scrapy will attempt retries when receiving the following HTTP error codes:

[500, 502, 503, 504, 408]

The process can be further configured using the following parameters:

  • RETRY_ENABLED (True/False - default is True)
  • RETRY_TIMES (# of times to retry on any errors - default is 2)
  • RETRY_HTTP_CODES (a list of HTTP error codes which should be retried - default is [500, 502, 503, 504, 408])

How to do it

The 06/01_scrapy_retry.py script demonstrates how to configure Scrapy for retries. The script file contains the following configuration for Scrapy:

process = CrawlerProcess({
'LOG_LEVEL': &apos...
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