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Effective Python Penetration Testing

You're reading from   Effective Python Penetration Testing Pen test your system like a pro and overcome vulnerabilities by leveraging Python scripts, libraries, and tools

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Product type Paperback
Published in Jun 2016
Publisher Packt
ISBN-13 9781785280696
Length 164 pages
Edition 1st Edition
Languages
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Author (1):
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Rejah Rehim Rejah Rehim
Author Profile Icon Rejah Rehim
Rejah Rehim
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Toc

Table of Contents (11) Chapters Close

Preface 1. Python Scripting Essentials FREE CHAPTER 2. Analyzing Network Traffic with Scapy 3. Application Fingerprinting with Python 4. Attack Scripting with Python 5. Fuzzing and Brute-Forcing 6. Debugging and Reverse Engineering 7. Crypto, Hash, and Conversion Functions 8. Keylogging and Screen Grabbing 9. Attack Automation 10. Looking Forward

Parsing HTML with lxml


Another powerful, fast, and flexible parser is the HTML Parser that comes with lxml. As lxml is an extensive library written for parsing both XML and HTML documents, it can handle messed up tags in the process.

Let's start with an example.

Here, we will use the requests module to retrieve the web page and parse it with lxml:

#Importing modules 
from lxml import html 
import requests 
 
response = requests.get('http://packtpub.com/') 
tree = html.fromstring(response.content) 

Now the whole HTML is saved to tree in a nice tree structure that we can inspect in two different ways: XPath or CSS Select. XPath is used to navigate through elements and attributes to find information in structured documents such as HTML or XML.

We can use any of the page inspect tools, such as Firebug or Chrome developer tools, to get the XPath of an element:

If we want to get the book names and prices from the  list, find the following section in the source.

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