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2018 | OriginalPaper | Chapter

3. Using Beautiful Soup

Author : Gábor László Hajba

Published in: Website Scraping with Python

Publisher: Apress

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Abstract

In this chapter, you will learn how to use Beautiful Soup, a lightweight Python library, to extract and navigate HTML content easily and forget overly complex regular expressions and text parsing.

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Footnotes
1
Unless you are lucky. Once I encountered a site where all the links to the remaining pages were there in the HTML code but had been hidden with some JS-magic.
 
2
OOP: object-oriented programming
 
3
For example, the Builder or Factory patterns, a constructor with all arguments.
 
5
I have to admit, every time I write CSV files I use spamwriter as my variable’s name. I guess this gives me a global understanding on what’s happening.
 
9
Object-relational mapping
 
10
I have worked since 2007 with ORM tools, and I like the idea, but some queries can become quite complex.
 
12
Hard cache: Get all information from the cache, and if there are attempts to gather anything from the Internet, refuse it. This makes scraping a bit consistent between runs.
 
13
For more information, visit: https://blake2.net/
 
14
Alternatively, to be more consistent, you can create a downloader, which hides the cache from the users of your code.
 
Metadata
Title
Using Beautiful Soup
Author
Gábor László Hajba
Copyright Year
2018
Publisher
Apress
Book
Website Scraping with Python

Print ISBN: 978-1-4842-3924-7

Electronic ISBN: 978-1-4842-3925-4

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-1-4842-3925-4_3

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