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Python Web Scraping

You're reading from Python Web Scraping Successfully scrape data from any website with the power of Python

Product type Paperback

Published in Oct 2015

Publisher Packt

ISBN-13 9781782164364

Length 174 pages

Edition 1st Edition

Languages

Python

Tools

Scrapy

Concepts

Data Mining

Author (1):

Richard Penman

View More author details

Table of Contents (11) Chapters

Preface

1. Introduction to Web Scraping FREE CHAPTER

2. Scraping the Data

3. Caching Downloads

4. Concurrent Downloading

5. Dynamic Content

6. Interacting with Forms

7. Solving CAPTCHA

8. Scrapy

9. Overview

Index

Chapter 5. Dynamic Content

According to the United Nations Global Audit of Web Accessibility, 73 percent of leading websites rely on JavaScript for important functionalities (refer to http://www.un.org/esa/socdev/enable/documents/execsumnomensa.doc). The use of JavaScript can vary from simple form events to single page apps that download all their content after loading. The consequence of this is that for many web pages the content that is displayed in our web browser is not available in the original HTML, and the scraping techniques covered so far will not work. This chapter will cover two approaches to scraping data from dynamic JavaScript dependent websites. These are as follows:

Reverse engineering JavaScript
Rendering JavaScript

The rest of the chapter is locked

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Authors (1)

Richard Penman

Richard Penman

Richard Lawson is from Australia and studied Computer Science at the University of Melbourne. Since graduating, he built a business specializing in web scraping while travelling the world, working remotely from over 50 countries. He is a fluent Esperanto speaker, conversational in Mandarin and Korean, and active in contributing to and translating open source software. He is currently undertaking postgraduate studies at Oxford University and in his spare time enjoys developing autonomous drones.

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