by do son · Published · Updated
InDigger is a web scraping tool for LinkedIn. Given a company name, it goes through a predefined list of departments and returns the employees, their job title, their work experience, and their education.
Download
git clone https://github.com/mattrotlevi/InDigger.git
Use
usage: InDigger.py [-h] [--company string] [--emps file]
[--emailformat string]
InDigger - A LinkedIn scraping tool by Matt Rotlevi
optional arguments:
-h, --help show this help message and exit
Company Name:
--company string Enter the company name you want to run the search on
Employee Harvesting:
--emps 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: first.last@xyz.com,
last.first@xyz.com, firstl@xyz.com, lfirst@xyz.com,\
flast@xyz.com, lastf@xyz.com, first@xyz.com,
last@xyz.com]
Example
python InDigger.py --company "company name" --emps "/home/mattr/scraper/wordlists/title-list-small.txt" --emailformat first.last@company.com
The output will look like
---------------------------------------------------------------
FINANCE
---------------------------------------------------------------
NAME:Jane Doe
---------------------
Education:
- ABC College
Experience:
- Director, Financial Planning & Analysis at Company Name
- Manager - Finance at WTAS
- Manager of Finance at The Madison Square Garden Company, Inc
- Financial Analyst at Broadridge Financial Solutions, Inc
- Intern at Merrill Lynch
Job Title:
- Director, Financial Planning & Analysis at Company Name
EMAIL: jane.doe@company.com
NAME:John Doe
---------------------
Education:
- ABC University
- XYZ High School
Experience:
- Finance Intern at Company Name
Job Title:
- Intern at Company Name
EMAIL: john.doe@company.com
Author: Matt Rotlevi
Source: https://github.com/mattrotlevi/
Tags: InDigger
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