Search the publicly released Epstein court documents for mentions of your LinkedIn connections. This project is not authorized, endorsed, or otherwise affiliated with LinkedIn Corporation. Requirements

Python 3.6+ requests library

Setup git clone git@github.com:cfinke/EpsteOut.git cd EpsteOut/ python3 -m venv project_venv source project_venv/bin/activate pip install -r requirements.txt Getting Your LinkedIn Contacts

Go to linkedin.com and log in. Click your profile icon in the top right. Select Settings & Privacy. Click Data privacy in the left sidebar. Under "How LinkedIn uses your data", click Get a copy of your data. Select Connections (or click "Want something in particular?" and check Connections). If Connections isn't listed as an option, choose the Download larger data archive option. Click Request archive. Wait for LinkedIn's email; it may take up to 24 hours. Download and extract the ZIP file. Locate the Connections.csv file.

Usage python EpsteOut.py --connections /path/to/Connections.csv The API that EpsteOut connects to has recently required an API key to access it. Keys are available for free at https://epstein.dugganusa.com/register.html Options

Flag Description

--connections, -c Path to LinkedIn Connections.csv export (required)

--output, -o Output HTML file path (default: EpsteOut.html)

Examples Basic usage: python EpsteOut.py --connections ~/Downloads/Connections.csv Custom output file: python EpsteOut.py --connections ~/Downloads/Connections.csv --output my_report.html Reading the Output The script generates an HTML report (EpsteOut.html by default) that you can open in any web browser.

The report contains:

Summary: Total contacts searched and how many had mentions Contact cards: Each contact with mentions is displayed as a card showing:

Name, position, and company Total number of mentions across all documents Excerpts from each matching document Links to the source PDFs on justice.gov

Contacts are sorted by number of mentions (highest f