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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

Analyzing a web page

To understand how a web page is structured, we can try examining the source code. In most web browsers, the source code of a web page can be viewed by right-clicking on the page and selecting the View page source option:

Analyzing a web page

The data we are interested in is found in this part of the HTML:

<table>
<tr id="places_national_flag__row"><td class="w2p_fl"><label for="places_national_flag" id="places_national_flag__label">National Flag: </label></td><td class="w2p_fw"><img src="/places/static/images/flags/gb.png" /></td><td class="w2p_fc"></td></tr>
...
<tr id="places_neighbours__row"><td class="w2p_fl"><label for="places_neighbours" id="places_neighbours__label">Neighbours: </label></td><td class="w2p_fw"><div><a href="/iso/IE">IE...

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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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