Search icon
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
Web Scraping with Python

You're reading from  Web Scraping with Python

Product type Book
Published in Oct 2015
Publisher Packt
ISBN-13 9781782164364
Pages 174 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Richard Penman Richard Penman
Profile icon Richard Penman

Summary


In this chapter, we walked through a variety of ways to scrape data from a web page. Regular expressions can be useful for a one-off scrape or to avoid the overhead of parsing the entire web page, and BeautifulSoup provides a high-level interface while avoiding any difficult dependencies. However, in general, lxml will be the best choice because of its speed and extensive functionality, so we will use it in future examples.

In the next chapter we will introduce caching, which allows us to save web pages so that they only need be downloaded the first time a crawler is run.

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 $15.99/month. Cancel anytime}