Search the publicly released Epstein court documents for mentions of your LinkedIn connections.

• Python 3.6+
• requests library

python3 -m venv project_venv
source project_venv/bin/activate
pip install -r requirements.txt

1. Go to linkedin.com and log in
2. Click your profile icon in the top right
3. Select Settings & Privacy
4. Click Data privacy in the left sidebar
5. Under "How LinkedIn uses your data", click Get a copy of your data
6. Select Connections (or click "Want something in particular?" and check Connections)
7. Click Request archive
8. Wait for LinkedIn's email (may take up to 24 hours)
9. Download and extract the ZIP file
10. Locate the Connections.csv file

python EpsteIn.py --contacts /path/to/Connections.csv

Basic usage:

python EpsteIn.py --contacts ~/Downloads/Connections.csv

Custom output file:

python EpsteIn.py --contacts ~/Downloads/Connections.csv --output my_report.html

The script generates an HTML report (EpsteIn.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 first).

• The search uses exact phrase matching on full names, so "John Smith" won't match documents that only contain "John" or "Smith" separately
• Common names may produce false positives—review the context excerpts to verify relevance
• Epstein files indexed by DugganUSA.com