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

Product typeBook
Published inMay 2017
Reading LevelIntermediate
Publisher
ISBN-139781786462589
Edition2nd Edition
Languages
Python
Concepts
Data Mining
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Author (1)
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)
Read more about Katharine Jarmul

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Summary

This chapter introduced Scrapy, a web scraping framework with many high-level features to improve efficiency when scraping websites. Additionally, we covered Portia, which provides a visual interface to generate Scrapy spiders. Finally, we tested Scrapely, the library used by Portia to scrape web pages automatically by first training a simple model.

In the next chapter, we will apply the skills learned so far to some real-world websites.

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Python Web Scraping. - Second Edition
Published in: May 2017Publisher: ISBN-13: 9781786462589
© 2017 Packt Publishing Limited All Rights Reserved

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

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