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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

Caching responses

Scrapy comes with the ability to cache HTTP requests. This can greatly reduce crawling times if pages have already been visited. By enabling the cache, Scrapy will store every request and response.

How to do it

There is a working example in the 06/10_file_cache.py script. In Scrapy, caching middleware is disabled by default. To enable this cache, set HTTPCACHE_ENABLED to True and HTTPCACHE_DIR to a directory on the file system (using a relative path will create the directory in the project's data folder). To demonstrate, this script runs a crawl of the NASA site, and caches the content. It is configured using the following:

if __name__ == "__main__":
process = CrawlerProcess({
&apos...
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