Email Verifier — Bulk Validator: Domain, Disposable & Typos

Email Verifier — Bulk Email Validator: Syntax, Domain, Disposable & Typos

Email Verifier cleans email lists in bulk without sending any mail. It checks syntax, whether the domain can receive mail (MX), disposable and temporary addresses, role inboxes, free providers and domain typos such as gmial.com, then gives each address a clear status and score.

What does Email Verifier do?

Paste a list of addresses, or point it at a dataset from a lead scraper, and get one row per address that tells you whether to keep it, check it or drop it. Duplicates are skipped so you don't pay for them twice.

What it does not do: it doesn't confirm that a specific mailbox exists. It checks the address and its domain. likely_valid means the address looks right and the domain accepts mail; a mailbox on that domain can still bounce. If you need a per-mailbox check, use a dedicated mailbox verification tool as a second step, and use this one first to remove obvious bad addresses for less.

What does each email check tell you?

Check	Field	Catches
Syntax	syntaxOk	Malformed addresses
Mail server	mxFound, mxHost, mxRecords	Domains that can't receive mail
Disposable	disposable	Temporary inboxes such as mailinator and yopmail
Role inbox	role	Shared addresses such as info@ and support@
Free provider	isFreeProvider	gmail.com, outlook.com and similar, useful for B2B lists
Typos	didYouMean	gmial.com, hotnail.com and similar
Plus addressing	isPlusAddressed	name+tag@ variants
Domain mail setup	hasSpf, hasDmarc	Domains with sender policies published, a sign of a maintained mail setup

Use cases

• Clean lead lists before importing them into a CRM or outreach tool.
• Lower your bounce rate by removing dead domains and typos before a campaign.
• Filter sign-ups for disposable addresses.
• Separate B2B from free-mail addresses in a lead list.
• Pre-filter before paid mailbox checks so you only pay for addresses worth checking.

How to verify an email list

1. Open Email Verifier.
2. Paste addresses under Emails, one per line, or enter a dataset ID under Verify a dataset.
3. Click Start.
4. Filter by status and export to JSON, CSV or Excel.

Input

{
  "emails": ["name+tag@gmail.com", "john@gmial.com", "sales@mailinator.com"],
  "dedupe": true
}

Field	Description
emails	Addresses to verify.
inputDatasetId	Optional dataset to read addresses from, such as a lead scraper's output.
emailField	The column in that dataset holding the address (default email).
dedupe	Check each address once (default on).
concurrency	Addresses checked in parallel, 1 to 30 (default 10).

Output

One row per address. These rows come from a real run.

{
  "email": "name+tag@gmail.com",
  "valid": true,
  "syntaxOk": true,
  "domain": "gmail.com",
  "mxFound": true,
  "mxHost": "gmail-smtp-in.l.google.com",
  "disposable": false,
  "role": false,
  "smtpChecked": false,
  "deliverable": null,
  "reason": "Valid syntax and domain has a mail server (MX present).",
  "ok": true,
  "status": "likely_valid",
  "score": 80,
  "normalizedEmail": "name+tag@gmail.com",
  "isFreeProvider": true,
  "isPlusAddressed": true,
  "didYouMean": null,
  "mxRecords": [
    "gmail-smtp-in.l.google.com",
    "alt1.gmail-smtp-in.l.google.com",
    "alt2.gmail-smtp-in.l.google.com",
    "alt3.gmail-smtp-in.l.google.com",
    "alt4.gmail-smtp-in.l.google.com"
  ],
  "hasSpf": true,
  "hasDmarc": true,
  "checkedAt": "2026-11-04T12:54:02.510Z"
}

A typo with no working domain:

{
  "email": "john@gmial.com",
  "valid": false,
  "syntaxOk": true,
  "domain": "gmial.com",
  "mxFound": false,
  "mxHost": null,
  "disposable": false,
  "role": false,
  "smtpChecked": false,
  "deliverable": null,
  "reason": "Domain has no mail server. Did you mean john@gmail.com?",
  "ok": true,
  "status": "invalid",
  "score": 0,
  "normalizedEmail": "john@gmial.com",
  "isFreeProvider": false,
  "isPlusAddressed": false,
  "didYouMean": "john@gmail.com",
  "mxRecords": [],
  "hasSpf": null,
  "hasDmarc": null,
  "checkedAt": "2026-11-04T12:54:02.510Z"
}

What the status means

status	Meaning	Suggested action
likely_valid	Good syntax, and the domain accepts mail. Mailbox not confirmed.	Keep
risky	Disposable domain or likely typo.	Review or drop
invalid	Bad syntax or no mail server.	Drop
unknown	The lookup timed out.	Re-run

score runs from 0 to 100. Good addresses start at 70, gain points for published SPF and DMARC records, and lose 15 for role inboxes. Filter on status first; the score is only a rough ranking.

Output schema

Field	Type	Description
email	string	The address as you supplied it.
normalizedEmail	string	Trimmed and lowercased.
status	string	likely_valid, risky, invalid or unknown.
score	integer	Rough 0 to 100 ranking.
valid	boolean	Good syntax, mail server found, not disposable.
syntaxOk	boolean	Passes the syntax check.
domain	string	Domain part of the address.
mxFound	boolean	Domain has a mail server.
mxHost / mxRecords	string / array	Primary mail server, and all of them.
disposable	boolean	Temporary-email domain.
role	boolean	Shared inbox such as info@.
isFreeProvider	boolean	Free mail provider.
isPlusAddressed	boolean	Uses +tag.
didYouMean	string	Suggested fix for a likely typo.
hasSpf / hasDmarc	boolean	Domain publishes these records.
smtpChecked / deliverable	boolean	Optional check result; usually false and null.
reason	string	Plain-language explanation.
ok	boolean	The check itself completed.
checkedAt	string (ISO date)	When the address was checked.

Need email data too?

• Website Contact Scraper: find emails and phone numbers on company websites, then verify them here.
• Google Maps Email Extractor: business emails from Google Maps.

FAQ

Does it send emails? No. It never sends anything.

Does it confirm a mailbox exists? No. It checks the address and the domain. Treat likely_valid as "worth keeping", not as a delivery guarantee.

How much does it cost? You pay per address checked, shown on the Pricing tab. Duplicates are skipped. Set a maximum cost per run and it stops cleanly at that limit, storing only what you paid for.

Can I verify the results of another scraper? Yes. Put that run's dataset ID in Verify a dataset and set the email column.

How big can my list be? Large lists are fine. Addresses on the same domain share one lookup, so big lists stay fast.

Can I connect this to other tools? Yes, through integrations on the Apify platform: Make, Zapier, Slack, Airbyte, GitHub, Google Drive and many more, plus the Apify API and webhooks.

Is it legal? Only verify addresses you have a right to process, and follow privacy and anti-spam law.

Feedback

How did it go? Good or bad, a review helps other users decide and tells us what to improve. Something broken or missing? Open an issue and we'll look at it.

Related Actors

• Website Contact Scraper
• Google Maps Email Extractor

Notes

Independent tool. Addresses are processed only to produce your results.