FindMe - LinkedIn Profile Discovery Tool

FindMe lets you search LinkedIn for targeted profiles using your own LinkedIn session cookies. No APIs, no third-party data brokers, no cloud dependency, no paid services. Everything runs locally.

Two Versions

1. Desktop App (.dmg / .exe)

Download and run - no terminal, no Node.js, no technical knowledge needed. Built with Electron, packaged as a native macOS or Windows app. The Chromium browser engine is bundled inside.

• macOS: FindMe-mac.dmg
• Windows: FindMe-Windows.exe

2. Local Webpage (Developer)

Clone the repo, run npm run dev, open http://localhost:3000. The same UI, running in your browser instead of an Electron window.

git clone https://github.com/Gozkybrain/FindMe-Desktop.git
cd FindMe-Desktop
npm install
npm run dev

How It Works

Step 1 - Export Your LinkedIn Cookies

Install the Cookie-Editor browser extension (Chrome/Firefox). Log into linkedin.com, open the extension, click Export → saves a cookies.json file.

Step 2 - Paste Cookies Into FindMe

Open the app, go to the Import tab, paste the JSON. Your session is now loaded - the app will browse LinkedIn as you.

Step 3 - Search

Fill in target criteria:

• Location (e.g. "San Francisco Bay Area")
• Industry (e.g. "Technology")
• Skills (e.g. "Python, React")
• Age range (optional)
• Profile count (1–50 per scan)

Step 4 - Get Results

The app launches a real Chromium browser (headless), logs into LinkedIn with your cookies, runs the search, and extracts:

• Name
• Headline / title
• Location
• LinkedIn profile URL

Results appear in a table, can be exported as JSON or copied individually.

What Makes It Different

Feature	FindMe	Alternatives
Data source	Real-time LinkedIn search	Stale databases, data brokers
Session control	Your own cookies	They use their own (risky)
Privacy	100% local, nothing leaves your machine	Data passes through their servers
Cost	Free	$50–500/mo per tool
Accuracy	Current, real LinkedIn data	Often outdated or wrong

Important

• Cannot deploy to Vercel / Netlify - requires Playwright + Chromium (~300MB binary). Must run locally or on a VPS.
• Rate limits depend on your LinkedIn account activity. Start with 10–20 profiles per scan.
• Cookies expire after ~12 hours. Re-export from LinkedIn to refresh.
• No user data is stored or transmitted - cookies stay in browser memory, temporary files are deleted after each scan.

Tech Stack

• Frontend: Next.js (plain JSX, no TypeScript/Tailwind)
• Backend: Next.js API routes (Node.js)
• Browser automation: Playwright with stealth plugin
• Desktop wrapper: Electron + electron-builder
• CI/CD: GitHub Actions → builds macOS (.dmg) + Windows (.exe) on push