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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

The key aspects for effective scraping are understanding how content and data are stored on web servers, identifying the data you want to retrieve, and understanding how the tools support this extraction. In this chapter, we will discuss website structures and the DOM, introduce techniques to parse, and query websites with lxml, XPath, and CSS. We will also look at how to work with websites developed in other languages and different encoding types such as Unicode.

Ultimately, understanding how to find and extract data within an HTML document comes down to understanding the structure of the HTML page, its representation in the DOM, the process of querying the DOM for specific elements, and how to specify which elements you want to retrieve based upon how the data is represented.

You have been reading a chapter from
Python Web Scraping Cookbook
Published in: Feb 2018
Publisher: Packt
ISBN-13: 9781787285217
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