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

Product typeBook
Published inMay 2017
Reading LevelIntermediate
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ISBN-139781786462589
Edition2nd Edition
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Katharine Jarmul
Katharine Jarmul
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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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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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Python Web Scraping. - Second Edition
Published in: May 2017Publisher: ISBN-13: 9781786462589

Author (1)

author image
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)
Read more about Katharine Jarmul