https://github.com/cfinke/EpsteOut
See which of your LinkedIn connections appear in the Epstein files.
https://github.com/cfinke/EpsteOut
Last synced: 2 months ago
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See which of your LinkedIn connections appear in the Epstein files.
- Host: GitHub
- URL: https://github.com/cfinke/EpsteOut
- Owner: cfinke
- License: mit
- Created: 2026-02-04T07:41:08.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2026-04-15T15:30:38.000Z (3 months ago)
- Last Synced: 2026-04-15T17:28:17.341Z (3 months ago)
- Language: Python
- Size: 385 KB
- Stars: 634
- Watchers: 6
- Forks: 41
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
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
```bash
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
1. Go to [linkedin.com](https://www.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). If **Connections** isn't listed as an option, choose the **Download larger data archive** option.
7. Click **Request archive**.
8. Wait for LinkedIn's email; it may take up to 24 hours.
9. Download and extract the ZIP file.
10. Locate the `Connections.csv` file.
## Usage
```bash
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:
```bash
python EpsteOut.py --connections ~/Downloads/Connections.csv
```
Custom output file:
```bash
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 first).
## Notes
- 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](https://dugganusa.com)