Free Email Finder
Three free work emails every week. Give a name and a company, or just a LinkedIn profile.
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If the first provider has no record, we try the next. Up to 20+ of them, databases and pattern-based finders both.
Sign up for a free account and get 500 credits, enough for 20 found emails. No card needed.
Get 500 free creditsWhy a waterfall beats a single lookup
A waterfall, not one provider
Providers are tried one after another until one has the person. Some are databases, some derive the address from a known company pattern and verify it. A single-method finder gives you whatever that one method can reach, and nothing when it can't.
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
How it works
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.
We run a waterfall, not a single lookup
Most finders lean on one method: either a single database, or pattern-matching that guesses first.last@company.com and checks whether it bounces. Enrow, Findymail and others are pattern-based. Datablist works down a list of 20+ providers that use both, and stops at the first one that returns an address, so neither an empty database nor an unguessable pattern ends the search.
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.
More than three emails a week
A free account starts with 500 credits and runs a whole list at once.
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.
| Tool | Cost / 1,000 emails | How it finds them | Misses |
|---|---|---|---|
| $24.50 | Single-source index | Not charged | |
| $45Lowest of any waterfall | 20+ provider waterfall | Not charged | |
| $49 | 20+ provider waterfall | Not charged | |
| $55 | 20+ provider waterfall | Not charged | |
| $59 | Proprietary database | Not charged | |
| $74 | 150+ integrations | Not charged | |
| Quote only | Proprietary database | Not published | |
| Quote only | Proprietary database | Not published |
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.
Only pay for emails you actually get
Start free with 500 credits. Lookups that find nothing cost nothing.
Related tools
Need this in bulk?
Waterfall Email FinderRun a full list through the same 20+ provider waterfall, paying only for the addresses it finds.
Frequently Asked Questions
Three per week, on a rolling 7-day basis, one lookup at a time. The count only goes down when an address is actually shown to you, so a search that finds nothing does not cost you one of your three.
Searches still run and still tell you whether an address exists, they just are not revealed. One of your three comes back seven days after you used it, or you can start a trial and run a whole list at once instead of one at a time.
25 Datablist credits per email found when using the default waterfall. Lookups that come back empty cost nothing. A $20 credit pack is 20,000 credits, which is up to 800 found emails.
Most finders query one provider, so their coverage is whatever that one database holds or that one pattern rule can derive. Datablist works through 20+ in sequence, mixing database lookups and pattern-based providers, and stops at the first that returns an address, then tells you which one it was. You can also plug in your own provider API keys instead of using Datablist credits.
Either a first name, last name and company, or a LinkedIn profile URL. A company domain beats a company name, because it removes the guesswork of matching the name to the right business first.
Yes, switch the toggle above the fields and paste the profile URL. It has to be a person's profile (linkedin.com/in/...), not a company page. This is useful when you know who someone is but not where they work.
This tool finds work emails. Datablist has a separate Personal Email Finder enrichment for consumer addresses, which is a different product with different rules around it.