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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

Summary

This chapter analyzed a variety of prominent websites and demonstrated how the techniques covered in this book can be applied to them. We applied CSS selectors to scrape Google results, tested a browser renderer and an API to scrape Facebook pages, used a Sitemap to crawl Gap, and took advantage of an AJAX call to scrape all BMW dealers from a map.

You can now apply the techniques covered in this book to scrape websites that contain data of interest to you. I hope you enjoy this power as much as I have!

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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