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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

Introduction

In this chapter, we will introduce the use of data in JSON, CSV, and XML formats. This will include the means of parsing and converting this data to other formats, including storing that data in relational databases, search engines such as Elasticsearch, and cloud storage including AWS S3. We will also discuss the creation of distributed and large-scale scraping tasks through the use of messaging systems including AWS Simple Queue Service (SQS). The goal is to provide both an understanding of the various forms of data you may retrieve and need to parse, and an instruction the the various backends where you can store the data you have scraped. Finally, we get a first introduction to one and Amazon Web Service (AWS) offerings. By the end of the book we will be getting quite heavy into AWS and this gives a gentle introduction.

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