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Python Web Scraping Cookbook

You're reading from  Python Web Scraping Cookbook

Product type Book
Published in Feb 2018
Publisher Packt
ISBN-13 9781787285217
Pages 364 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Michael Heydt Michael Heydt
Profile icon Michael Heydt

Table of Contents (13) Chapters

Preface 1. Getting Started with Scraping 2. Data Acquisition and Extraction 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...

...
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