Find Work Email

Give it a LinkedIn profile URL, get back that person’s business email address.

What it does

• Resolves a LinkedIn profile URL to the person’s work email address.
• Runs waterfall enrichment — Datagma, LeadMagic, RocketReach, Apify, Forager, Findymail and LinkedIn, tried in sequence.
• Stops at the first provider that returns a result. You are charged once per lookup, not once per provider tried.
• Passing first_name, last_name and organization_name alongside the URL raises the hit rate on sparse profiles.
• An empty result means no provider had the address — not that the person has no email.

It finds an address. It does not check that the address is deliverable — chain verify_email for that.

Use cases

• Turn a sourced list into a sendable one. Profiles from find_people become an outbound campaign only once each row carries an address.
• Fill the gaps in a CRM import. Contacts that arrived with a LinkedIn URL and no email are the cheapest rows to repair.
• Reach a specific person at a named account. Resolve the profile, get the address, write the email — the standard three-step for a single target.
• Build a clean send list. Chain verify_email so what reaches the sequence is deliverable rather than merely found.

How to use it

Find the work email for linkedin.com/in/janedoe

Find work emails for these 20 LinkedIn URLs. Skip anyone where no email is
found — do not guess an email pattern. Report how many credits you used.

Now verify each email you found and drop anything that isn't deliverable.

Example prompts

Best prompting practices

• Say “work email”. Without it your client may reach for find_personal_email, which costs 3× as much.
• Pass the name and company alongside the URL whenever you have them — they are free and they lift the hit rate.
• Suppress before you enrich. Drop anyone already in the CRM or already sequenced first — normalise both sides to linkedin.com/in/<slug> before comparing. Filtering costs nothing; re-buying 40 addresses costs 40 credits.
• Forbid guessing. Add “do not guess email patterns” to any batch prompt. A fabricated first.last@company.com looks exactly like a result and bounces like a fake.
• Ask for a table, blanks included. “Return name, company, LinkedIn URL, email, and not found where empty.” A client left to summarize will quietly drop the misses and hide your real hit rate.
• Number the steps around it. Source → suppress → find_work_email → verify_email → write back. One tool per step, with a stop point before this one.
• Cap the batch. “Stop after 50 and report credits used” keeps a long list from running away with your balance.
• Verify separately. Finding and verifying are two different tools with two different costs.

Output

{
  "email": "jane@stripe.com",
  "status": "found",
  "linkedin_url": "https://linkedin.com/in/janedoe"
}

Credits and limits

1 credit per lookup. Run check_credits (free) before a large batch.

Parameters

Related tools

Next steps

• All MCP tools — the full catalogue with credit costs
• AI for Sales Reps — workflows that chain this tool into a list build

Keep learning

Two courses take these tools past the reference page — clustered by GTM job, then chained into workflows.