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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

How to parse websites and navigate the DOM using BeautifulSoup

When the browser displays a web page it builds a model of the content of the page in a representation known as the document object model (DOM). The DOM is a hierarchical representation of the page's entire content, as well as structural information, style information, scripts, and links to other content.

It is critical to understand this structure to be able to effectively scrape data from web pages. We will look at an example web page, its DOM, and examine how to navigate the DOM with Beautiful Soup.

Getting ready

We will use a small web site that is included in the www folder of the sample code. To follow along, start a web server from within the www folder...

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