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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 Katharine Jarmul
Profile icon Katharine Jarmul

Summary

This chapter covered two approaches to scraping data from dynamic web pages. It started with reverse engineering a dynamic web page using browser tools, and then moved on to using a browser renderer to trigger JavaScript events for us. We first used WebKit to build our own custom browser, and then reimplemented this scraper with the high-level Selenium framework.

A browser renderer can save the time needed to understand how the backend of a website works; however, there are some disadvantages. Rendering a web page adds overhead and is much slower than just downloading the HTML or using API calls. Additionally, solutions using a browser renderer often require polling the web page to check whether the resulting HTML has loaded, which is brittle and can fail when the network is slow.

I typically use a browser renderer for short-term solutions where the long-term performance and reliability is less important...

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