InSpy is a python based LinkedIn enumeration tool. Inspy has two functionalities: TechSpy and EmpSpy.

• TechSpy - Crawls LinkedIn job listings for technlogoies used by the provided company. InSpy attempts to identify technologies by matching job descriptions to keywords from a new line delimited file.
  
• EmpSpy - Crawls LinkedIn for employees working at the provided company. InSpy searches for employees by title and/or departments from a new line delimited file. InSpy may also create emails for the identified employees if the user specifies an email format.

Installation
Run

pip install -r requirements.txt

within the cloned InSpy directory.

Help

InSpy - A LinkedIn enumeration tool by Jonathan Broche (@jonathanbroche)
 
 positional arguments:
   company               Company name to use for tasks.
 
 optional arguments:
   -h, --help            show this help message and exit
   -v, --version         show program's version number and exit
 
 Technology Search:
   --techspy [file]      Crawl LinkedIn job listings for technologies used by
                         the company. Technologies imported from a new line
                         delimited file. [Default: tech-list-small.txt]
   --limit int           Limit the number of job listings to crawl. [Default:
                         50]
 
 Employee Harvesting:
   --empspy [file]       Discover employees by title and/or department. Titles
                         and departments are imported from a new line delimited
                         file. [Default: title-list-small.txt]
   --emailformat string  Create email addresses for discovered employees using
                         a known format. [Accepted Formats: [email protected],
                         [email protected], [email protected], [email protected], 
                         [email protected], [email protected],
                         [email protected], [email protected], [email protected],
                         [email protected]]
 
 Output Options:
   --html file           Print results in HTML file.
   --csv file            Print results in CSV format.
   --json file           Print results in JSON.