A typical search engine dork scanner that scrapes search engines with queries that you provide in order to find vulnerable URLs.

Introduction
Dorking is a technique used by newsrooms, investigative organisations, security auditors as well as tech savvy criminals to query various search engines for information hidden on public websites and vulnerabilities exposed by public servers. Dorking is a way of using search engines to their full capacity to penetrate web-based services to depths that are not necessarily visible at first.

Requirements

pip3 install -r requirements.txt

Usage

$ python3 dorkScanner.py --help
 usage: dorkScanner.py [-h] [-q QUERY] [-e ENGINE] [-p PAGES] [-P PROCESSES]
 
 optional arguments:
   -h, --help            show this help message and exit
   -q QUERY, --query QUERY
                         Specify the Search Query within ''
   -e ENGINE, --engine ENGINE
                         Specify the Search Engine (Google/Bing)
   -p PAGES, --pages PAGES
                         Specify the Number of Pages (Default: 1)
   -P PROCESSES, --processes PROCESSES
                         Specify the Number of Processes (Default: 2)
 

You can also specify the arguments inside the program:

Enter the Search Query: 
 Choose the Search Engine (Google/Bing):

Tutorial