Free LinkedIn Email Finder

There are three ways, and only one of them is reliable.

Ask LinkedIn. If you are a first-degree connection, their email may appear under Contact info on the profile. LinkedIn's default is that a member's primary address is visible only to direct connections (LinkedIn Help, read August 26, 2026), so as a stranger you will almost never see one.

Predict it. Take the name from the profile and the employer's domain, and generate the formats that company most likely uses. That is what the tool above does, free and with no account, at 25 lookups per IP per day. It gives you a ranked candidate list, not an answer.

Look it up in contact data. Match the profile against B2B data sources that already hold verified work emails. This is the only route that returns one address you can send to with confidence, and it is the paid path.

One thing worth knowing before you start: the address you want is their current work email, not whatever address they used to register their LinkedIn account. The work address is the one their employer monitors, and it survives job-unrelated login changes.

Paste the profile URL into the tool above. It reads the first and last name out of the URL slug, so linkedin.com/in/jane-doe-1a2b3c resolves to Jane Doe, and then builds the candidate addresses against the company domain you supply, or against a domain derived from the company name if that is all you have.

The output is roughly fifteen formats ordered by how frequently B2B companies use each one, alongside an MX check on the domain that tells you whether it accepts mail at all. A domain with no MX records is a dead end no matter which pattern you pick.

What you do next decides whether this helps or hurts. Do not mail the candidate list. Take the top one and run it through the free email verifier, which checks syntax, DNS, and live mail servers at 25 checks per IP per day. If you need the answer rather than a candidate, paste the same LinkedIn URL into Cleanlist People Search and it returns the verified address and direct-dial phone at one credit per email, and every new workspace opens on Scale for 14 days with 250 credits and 3 seats, no card.

LinkedIn has no built-in email finder, which is why third-party tools like this one exist. A member's email address sits in their account settings rather than on their public profile, and LinkedIn controls who can see it: the default is that a primary email address is "only visible to your direct connections on LinkedIn", with options ranging from "Only visible to me" up to "Anyone on LinkedIn" (LinkedIn Help, read August 26, 2026).

Most members never change that default, so a profile you are viewing as a stranger almost never shows one. A LinkedIn email finder therefore works in one of two ways: it predicts the address from the person's name and their employer's domain, which is what the free tool on this page does, or it matches the profile against B2B contact data, which is what Cleanlist does on a paid lookup.

You cannot see the email a stranger used to register their LinkedIn account, and no legitimate tool can return it. That address is an account credential, and LinkedIn's default keeps it visible only to direct connections. If you are already connected, it appears under Contact info on their profile. If you are not, the realistic goal is different: find the person's current work email, which is the address you would send to anyway and the one their employer actually monitors.

That is what this tool predicts from a name and a company domain, and what Cleanlist resolves for real by matching the profile across a 25+ provider waterfall. A work email also outlives the account email, since people change LinkedIn logins to personal addresses far more often than they change employers.

Yes, and the tool on this page is one: no account, no card, 25 lookups per IP per day, and it returns roughly 15 ranked format candidates from a profile URL or a name plus a company domain. Free means prediction, though, and prediction is not the same as an address. The patterns are ranked by how commonly B2B companies use each convention, so the top candidate is often right, but usually only one of the fifteen is a live mailbox and the rest bounce.

Bounces are what damage sender reputation, so never mail the full candidate list. Run the top candidate through the free email verifier first, which checks syntax, MX records and disposable or role flags at 25 checks per IP per day. To get the verified address rather than a candidate, every new Cleanlist workspace opens on Scale for 14 days with 250 credits and 3 seats, no card, at 1 credit per verified email.

Cleanlist ships a Chrome extension that works on LinkedIn and Sales Navigator pages, pulling contacts with verified emails and direct-dial phone numbers from a profile or a search result without leaving the tab. That is the paid path, drawing on the same 25+ provider waterfall as the rest of Cleanlist, and every new workspace opens on Scale for 14 days with 250 credits and 3 seats, no card, with the Free plan keeping 30 credits a month after that.

The free predictor on this page needs no extension at all: it runs in any browser, including mobile, and installs nothing. Which one you want depends on volume. For one or two profiles a week, the page is faster than an install. For prospecting sessions where you are opening dozens of profiles, an extension removes the copy-paste step between LinkedIn and a separate tool.

Not from your LinkedIn account settings unless you allow it, and LinkedIn defaults to keeping your primary email visible only to your direct connections (LinkedIn Help, read August 26, 2026). You can tighten that to "Only visible to me" under Settings and Privacy, Visibility, "Who can see or download your email address".

What you cannot hide is your work email, because it is not stored on LinkedIn at all. Your name plus your employer is enough for anyone to predict it, since most companies use a small number of standard conventions such as first.last@ or flast@. That is exactly what the free tool on this page demonstrates.

If you would rather not receive B2B outreach, the effective lever is an opt-out request to the sender, not a LinkedIn privacy setting.

Enrich the file rather than predicting row by row. The free tool on this page handles one person at a time, so it is the wrong shape for a list of 500. Importing a Sales Navigator CSV is a Starter feature, from $79 a month, and every imported row is then matched across a 25+ provider waterfall, returning a verified work email, direct-dial phone, job title and company for each profile that resolves.

Every new workspace opens on Scale for 14 days with 250 credits and 3 seats, no card, with CSV upload included in that window. On the $0 Free plan afterwards, the equivalent motion is People Search inside Cleanlist: rebuild the same audience there and enrich the results with the Free plan's 30 credits a month.

Credits are the unit either way: 1 for a verified email, 10 for a phone, 11 for a full contact record with both, and running the search itself costs zero. Results export to CSV, and CRM sync to HubSpot, Salesforce and Outreach is available on Pro and above.

Paste the profile URL. The tool reads the first and last name out of the URL slug, so linkedin.com/in/jane-doe-1a2b3c becomes Jane Doe. You can also type the name in directly.

Add the company. The mail domain is the half LinkedIn cannot give you. Enter it directly if you know it, or type the company name and the tool derives a likely domain, flagging it as a guess so you can correct it.

Generate the candidates. Around fifteen conventions are built out against that domain, first.last@, flast@, first@, f.last@, firstl@ and the rest.

Rank by convention frequency. The order reflects how commonly B2B companies use each pattern, so the top candidate is the one worth testing first.

Check the domain. A live MX lookup confirms the domain can receive mail at all. No MX records means every candidate would bounce, regardless of the pattern.

Everything above runs without an account. The step it cannot do is confirm which candidate is a real mailbox, which needs either a verification pass or a contact database.

These are two different operations and conflating them is what gets sender reputations damaged.

Prediction starts from a name and a domain and produces candidates. It costs nothing, works for anyone at any company, and is wrong most of the time on any individual candidate, because only one of the set is usually live.

Verification starts from a specific address and asks whether mail can reach it. Syntax, DNS, and MX checks are the free layer. The mailbox-level answer, an SMTP handshake plus catch-all detection, needs a server.

Contact data skips both. Instead of reasoning about the address, it looks the person up in sources that already hold their verified email, which is why it returns one address rather than fifteen.

The workflow that respects your domain: predict for free here, verify the top candidate with the free email verifier, and move to People Search the moment you are working more than a handful of profiles. Every new workspace opens on Scale for 14 days with 250 credits and 3 seats, no card, and a verified email is one credit.

A social media email finder turns a public profile into a likely work email. There is no button that reveals a private address, so these tools predict it: they take the name and employer from the profile and generate the email formats that company most commonly uses, then you verify the top candidate.

This tool is built for LinkedIn, enter a name and company domain, or paste the profile URL and it reads the name. For any other network, start from an address you already have with the reverse email lookup, or get the verified email and direct dial behind a profile with People Search.