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Python Penetration Testing Cookbook

You're reading from   Python Penetration Testing Cookbook Practical recipes on implementing information gathering, network security, intrusion detection, and post-exploitation

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Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781784399771
Length 226 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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Table of Contents (15) Chapters Close

Preface 1. Why Python in Penetration Testing? FREE CHAPTER 2. Setting Up a Python Environment 3. Web Scraping with Python 4. Data Parsing with Python 5. Web Scraping with Scrapy and BeautifulSoup 6. Network Scanning with Python 7. Network Sniffing with Python 8. Scapy Basics 9. Wi-Fi Sniffing 10. Layer 2 Attacks 11. TCP/IP Attacks 12. Introduction to Exploit Development 13. Windows Exploit Development 14. Linux Exploit Development

Web spiders with Scrapy

Web spidering starts with a URL or a list of URLs to visit, and when the spider gets a new page, it analyzes the page to identify all the hyperlinks, adding these links to the list of URLs to be crawled. This action continues recursively for as long as new data is found.

A web spider can find new URLs and index them for crawling or download useful data from them. In the following recipe, we will use Scrapy to create a web spider.

Getting ready

We can start by installing Scrapy. It can be installed from Python's pip command:

pip install scrapy   

Make sure that you have the required permission for installing Scrapy. If any errors occur with the permission, use the sudo command.

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