Dataset of the LinkedIn profiles of 1,595 people who self-identified on the site as working for ICE. https://archive.is/20180621131016/https://medium.com/@samlavigne/downloading-the-profiles-of-everyone-on-linkedin-who-works-for-ice-c4e0ff6b065e
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README.md

LinkedIn members who work for ICE

Browse it here: https://antiboredom.github.io/ice-linkedin/

Please note that this script requires a LinkedIn account with a premium membership

In order to run the code, first clone the repository, then install requirements:

pip install -r requirements.txt

Next, you'll need to edit header.py with info about your linkedin account. This is a bit tedious.

  1. Log in to your linkedin account in Chrome
  2. Go to the sales navigator page for ICE: https://www.linkedin.com/sales/search?pivotType=EMPLOYEE&pivotId=533534
  3. Open your browser's development tools, and then click on the network tab, and then select XHR
  4. Scroll to the bottom of the page and click the Next button
  5. You should see a url appear on the network tab. Right click and select Copy as cURL
  6. Open up https://curl.trillworks.com/ and paste into the curl command area
  7. Copy everything in between headers = {} into header.py

Run the script with

python linked_in_scraper.py