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Python Web Scraping

You're reading from Python Web Scraping Hands-on data scraping and crawling using PyQT, Selnium, HTML and Python

Product type Paperback

Published in May 2017

Publisher

ISBN-13 9781786462589

Length 220 pages

Edition 2nd Edition

Languages

HTML

Tools

PyQt

Concepts

Data Mining

Author (1):

Katharine Jarmul

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)

Jarmul

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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