Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Python Web Scraping

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

Arrow left icon
Product type Paperback
Published in May 2017
Publisher
ISBN-13 9781786462589
Length 220 pages
Edition 2nd Edition
Languages
Tools
Concepts
Arrow right icon
Author (1):
Arrow left icon
Katharine Jarmul Katharine Jarmul
Author Profile Icon Katharine Jarmul
Katharine Jarmul
Arrow right icon
View More author details
Toc

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...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at AU $24.99/month. Cancel anytime