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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 Hardcover

Published in May 2017

Last Updated in Feb 2025

Publisher Packt

ISBN-13 9781786462589

Length 220 pages

Edition 1st Edition

Languages

HTML

Tools

PyQt

Concepts

Data Mining

Author (1):

Richard Penman

View More author details

Table of Contents (10) 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. Putting It All Together

Visual scraping with Portia

Portia is a an open-source tool built on top of Scrapy that supports building a spider by clicking on the parts of a website which need to be scraped. This method can be more convenient than creating the CSS or XPath selectors manually.

Installation

Portia is a powerful tool, and it depends on multiple external libraries for its functionality. It is also relatively new, so currently, the installation steps are somewhat involved. In case the installation is simplified in future, the latest documentation can be found at https://github.com/scrapinghub/portia#running-portia. The current recommended way to run Portia is to use Docker (the open-source container framework). If you don't have Docker installed, you'll need to do so first...

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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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