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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

Storing data using AWS S3

There are many cases where we just want to save content that we scrape into a local copy for archive purposes, backup, or later bulk analysis. We also might want to save media from those sites for later use. I've built scrapers for advertisement compliance companies, where we would track and download advertisement based media on web sites to ensure proper usage, and also to store for later analysis, compliance and transcoding.

The storage required for these types of systems can be immense, but with the advent of cloud storage services such as AWS S3 (Simple Storage Service), this becomes much easier and more cost effective than managing a large SAN (Storage Area Network) in your own IT department. Plus, S3 can also automatically move data from hot to cold storage, and then to long-term storage, such as a glacier, which can save you much more money...

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