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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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Toc

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

Using Scrapy selectors

Scrapy is a Python web spider framework that is used to extract data from websites. It provides many powerful features for navigating entire websites, such as the ability to follow links. One feature it provides is the ability to find data within a document using the DOM, and using the now, quite familiar, XPath.

In this recipe we will load the list of current questions on StackOverflow, and then parse this using a scrapy selector. Using that selector, we will extract the text of each question.

Getting ready

The code for this recipe is in 02/05_scrapy_selectors.py.

How to do it...

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