InSpy is a python based LinkedIn enumeration tool. This tool 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.
git clone https://github.com/gojhonny/InSpy cd InSpy pip install -r requirements.txt
within the cloned InSpy directory.
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@example.com, firstname.lastname@example.org, email@example.com, firstname.lastname@example.org, email@example.com, firstname.lastname@example.org, email@example.com, firstname.lastname@example.org, email@example.com, firstname.lastname@example.org] Output Options: --html file Print results in HTML file. --csv file Print results in CSV format. --json file Print results in JSON.