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Free Email Finder

Three free work emails every week. Give a name and a company, or just a LinkedIn profile.

A domain works better than a company name.

If the first provider has no record, we try the next. Up to 20+ of them, so you get an address where one database comes up empty.

Why a waterfall beats a single lookup

A waterfall, not one provider

Providers are tried one after another until one has the person. A single-source finder gives you whatever its one database holds, and nothing at all when that database has never seen them.

You see where it came from

Each result says which source in the chain had the address. Source 6 of 20+ tells you five databases came up empty, which is the part a single-source tool can never show you.

You only pay for hits

On a paid plan the waterfall costs 25 credits per email found. Lookups that come back empty cost nothing, so a low-quality list does not quietly drain your balance.

Trusted by startups and enterprises

35,000+

companies using Datablist

20M+

rows enriched every month

60+

lead generation tools

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How it works

Step 1

Give us a name and a company

First name, last name, and either the company name or its domain. A domain is more reliable, because it skips the step of working out which business the name refers to. If you only have a LinkedIn profile, switch the toggle and paste that instead.

Step 2

We run a waterfall, not a single lookup

Most finders query one database and return whatever it holds. If that database has never seen the person, you get nothing. Datablist works down a list of 20+ providers and stops at the first one that has an address, so a gap in any single source doesn't end the search.

Step 3

You see what was actually found

The address, plus how far down the waterfall it came from. Source 5 of 20+ means four databases had nothing and a single-source tool would have failed. A search that finds nothing says so, and doesn't use up one of your three free emails.

Use cases

Building a lead list that can actually be contacted

A name and a company are not reachable. Turning a scraped or exported list into one you can send to is the step that makes it worth anything.

Filling the gaps in a list you already have

Most exports arrive part-complete. Run only the rows missing an address, and pay for nothing on the ones that come back empty.

Using your own provider keys

Already paying for Hunter, Dropcontact or similar? Run the waterfall against your own keys and skip the Datablist credit system entirely.

Personalising before you send

A verified address is the start, not the finish. What decides whether the email works is whether the first line reads like it was written for one person.

What 1,000 found emails actually cost

Per-credit prices hide the thing that matters, which is what you pay for a thousand addresses you can actually send to. Hunter is cheaper per email because it queries one index. A waterfall costs more per lookup and finds the people a single source doesn't have. Among waterfalls, Datablist is the cheapest.

Hunter.io

Cost / 1,000 emails
$24.50
How it finds them
Single-source index
Misses
Not charged

Datablist

Cost / 1,000 emails
$45 · lowest of any waterfall
How it finds them
20+ provider waterfall
Misses
Not charged

BetterContact

Cost / 1,000 emails
$49
How it finds them
20+ provider waterfall
Misses
Not charged

FullEnrich

Cost / 1,000 emails
$55
How it finds them
20+ provider waterfall
Misses
Not charged

Apollo

Cost / 1,000 emails
$59
How it finds them
Proprietary database
Misses
Not charged

Clay

Cost / 1,000 emails
$74
How it finds them
150+ integrations
Misses
Not charged

Cognism

Cost / 1,000 emails
Quote only
How it finds them
Proprietary database
Misses
Not published

ZoomInfo

Cost / 1,000 emails
Quote only
How it finds them
Proprietary database
Misses
Not published

Cost per 1,000 emails found, from Datablist's own published comparison and each vendor's pricing page, checked September 2026. Every tool listed charges only for addresses it finds, so these are comparable. Quote-only vendors do not publish rates.

  1. Datablist's CPME analysis
  2. Datablist pricing
  3. Hunter.io pricing
  4. BetterContact pricing
  5. FullEnrich pricing
  6. Apollo pricing
  7. Clay pricing

Frequently Asked Questions