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Python Web Scraping. - Second Edition

You're reading from Python Web Scraping. - Second Edition

Product type Book

Published in May 2017

Publisher

ISBN-13 9781786462589

Pages 220 pages

Edition 2nd Edition

Languages

Concepts

Author (1):

Katharine Jarmul

Table of Contents (10) Chapters

Preface

1. Introduction to Web Scraping

2. Scraping the Data

3. Caching Downloads

4. Concurrent Downloading

5. Dynamic Content

6. Interacting with Forms

7. Solving CAPTCHA

8. Scrapy

9. Putting It All Together

Solving CAPTCHA

CAPTCHA stands for Completely Automated Public Turing test to tell Computers and Humans Apart. As the acronym suggests, it is a test to determine whether the user is human or not. A typical CAPTCHA consists of distorted text, which a computer program will find difficult to interpret but a human can (hopefully) still read.

Many websites use CAPTCHA to prevent bots from interacting with their website. For example, my bank website forces me to pass a CAPTCHA everytime I log in, which is a pain. This chapter will cover how to solve CAPTCHAs automatically, first through Optical Character Recognition (OCR) and then with a CAPTCHA solving API.

In this chapter, we will cover the following topics:

Solving CAPTCHAs
Using a CAPTCHA service
Machine learning and CAPTCHAs
Reporting errors

The rest of the chapter is locked

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Authors (1)

Katharine Jarmul

Katharine Jarmul is a data scientist and Pythonista based in Berlin, Germany. She runs a data science consulting company, Kjamistan, that provides services such as data extraction, acquisition, and modelling for small and large companies. She has been writing Python since 2008 and scraping the web with Python since 2010, and has worked at both small and large start-ups who use web scraping for data analysis and machine learning. When she's not scraping the web, you can follow her thoughts and activities via Twitter (@kjam)

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