LinkedIn Profile Finder — Email to LinkedIn URL

Turn an email address into the person's public LinkedIn profile — with a confidence score on every match. Paste one email or a whole list and get back a clean table of LinkedIn URLs, ready for your CRM, outreach, or recruiting pipeline. No LinkedIn login, no cookies, nothing tied to your account.

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What you get

• Email in → best-match LinkedIn URL out, with a 0–100% confidence score on every row so you know which matches to trust.
• Bulk or one-off — look up a single address or thousands, one result row each.
• Pay only for matches that land. Emails that can't be matched cost almost nothing.
• Near-zero cost per match — the lookup runs on your own free-tier keys, so there's no data-broker markup.
• Account-safe — it never logs into LinkedIn or touches your session, so there's nothing to get flagged.

Who it's for

• Sales & growth — enrich inbound leads and sign-ups with the right LinkedIn profile before you reach out.
• Recruiting — turn a list of candidate emails into LinkedIn profiles.
• RevOps / CRM — clean, verify, and backfill contact records at scale.
• Founders & operators — instantly see who actually emailed you.

How to use it

1. Paste a single email, or a list of emails.
2. Pick a matching mode — Balanced is the default and works for most lists.
3. (Optional) add your free Brave Search and Groq keys for the widest coverage.
4. Hit Start. Results appear in the dataset, one row per email.

Matching modes

Mode	Best for
No AI	Fastest and free — accepts only the clear, unambiguous matches.
Balanced (recommended)	The default. Spends a little extra effort only on the uncertain matches.
Full AI	Highest match rate — works hardest on every email.

What a result looks like

Email	Found	LinkedIn URL	Confidence	Name
satya.nadella@microsoft.com	✅	linkedin.com/in/satyanadella	97%	Satya Nadella
coolguy@gmail.com	—	—	—	—

Or as JSON:

{
  "email": "satya.nadella@microsoft.com",
  "linkedin_url": "https://www.linkedin.com/in/satyanadella",
  "confidence": 0.97,
  "found": true,
  "name": "Satya Nadella"
}

Pricing

Pay-per-result. A tiny fee per email processed, plus a small charge only when a confident match is found — a confident lookup costs well under a cent. Search and AI run on your own free-tier keys, so you're paying for the lookup itself, not data-broker markup.

How good are the matches?

• Work emails (name@company.com) match reliably — that's the sweet spot.
• People with a public professional presence match even from a personal address.
• No public profile to find? You get a clean not found — never a confident guess. Every accepted match has to clear the confidence bar you set, so junk stays out of your list.

Good to know

• Works on public information only — no private database, no broker-sourced contact data.
• Best on professional/work emails; some personal addresses simply have no public profile to match.
• You stay in control — set the confidence bar, choose how much AI to use, bring your own keys.

Run it yourself (open source)

The actor is open source under the MIT license. To run it from the command line with your own keys:

git clone https://github.com/AnshumanAtrey/linkedin-harvester.git
cd linkedin-harvester
pip3 install -r requirements.txt

GROQ_API_KEY=your_groq_key BRAVE_API_KEY=your_brave_key \
  python3 -m harvester.find "satya.nadella@microsoft.com"

Free keys: Groq → console.groq.com/keys · Brave → brave.com/search/api

Use responsibly

Built for legitimate sales, recruiting, research, and verification. Follow the privacy laws that apply to you (GDPR, CCPA, and local equivalents) and honor opt-out and do-not-contact requests.

License

MIT — see LICENSE.