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# InSpy | ||
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## Introduction | ||
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InSpy is a python based LinkedIn enumeration tool. Inspy has two functionalities: TechSpy and EmpSpy. | ||
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- 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. | ||
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- 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. | ||
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## Installation | ||
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Run `pip install -r requirements.txt` within the cloned InSpy directory. | ||
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## Help | ||
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``` | ||
InSpy - A LinkedIn enumeration tool by Jonathan Broche (@g0jhonny) | ||
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. | ||
``` |