Bulk verify a list of email addresses
Syntax, MX, disposable and typo checks.
{
"emails": [
"support@apify.com",
"john@gmial.com",
"test@mailinator.com",
"info@example.org"
],
"keep": "all"
}Lead generation
Email Verifier & Phone Validator: clean contact lists in bulk
Verify emails and validate phone numbers in one run, from a pasted list or another Actor's dataset. Emails get syntax, live MX, disposable and role-address checks plus typo fixes; phones get numbering-plan validation, line type, US state and time zone. No API key and no mail sent.
★ 5.0 rating · 5 reviews26 users96.9% successful runs (30 days)
What data you get
email / emailStatus | Email and its verdict |
mxCheck | Live mail-server (MX) lookup |
disposable / role | Disposable or role address flags |
typoSuggestion | Suggested fix for typos like gmial.com |
phone / phoneValid | Normalised number and validity |
lineType | Mobile, landline or other line type |
state / timeZone | US state and time zone of the number |
website / foundEmail | Company website and email (optional add-on) |
How it works
- Open the scraper on Apify and sign up (free).
- Enter routes, dates and options in the form.
- Click Start and download results as JSON, CSV or Excel, or call the API.
Pricing
$0.70 per 1,000 rows
Pay per event: you pay per contact checked, plus optional add-ons when a company website or email is found.
Apify gives $5 free credits every month — enough to test this scraper at no cost.
Example tasks
Ready-made inputs. Copy one into the scraper form or send it through the API.
Validate US and UK phone numbers in bulk
Keep only valid numbers with line type.
{
"phones": [
"+1 206 235 0243",
"(415) 555-0132",
"+44 20 7946 0958"
],
"defaultCountry": "US",
"keep": "valid_phone"
}Check company emails and phones together
Keep only usable contacts.
{
"contacts": [
{
"company": "Apify",
"email": "support@apify.com",
"phone": "+1 206 235 0243"
},
{
"company": "Stripe",
"email": "hello@stripe.com",
"phone": "+1 415 555 0132"
}
],
"keep": "usable"
}Verify emails from a scraped dataset and find websites
Deliverable emails only, with website lookup.
{
"inputDatasetId": "aBcD1234EfGh5678",
"emailField": "email",
"phoneField": "phone",
"companyField": "company",
"keep": "deliverable_email",
"findWebsite": true
}Use cases
- Sales teams: clean lead lists before outreach to protect sender reputation.
- Marketers: remove disposable, role and mistyped addresses from sign-up lists.
- Call centers: drop invalid numbers and see line type and time zone before dialing.
- Scraper users: verify contacts from another Actor's dataset in one step.
FAQ
Does it send test emails?
No. It checks syntax and live mail-server records without sending any mail.
Can I verify a dataset from another Actor?
Yes. Paste the dataset ID and tell it which fields hold email, phone and company.
Which phone numbers are supported?
International numbers with a + prefix; numbers without it are read as US or Canada by default.
Is it legal to verify emails and phone numbers?
The tool checks syntax, mail-server records and numbering plans; it sends no mail and makes no calls. You are responsible for having a lawful basis to process the contacts (e.g. GDPR, CAN-SPAM, TCPA) and for respecting opt-outs.
How do I get the data into my app?
Call it through the Apify API, use the Python or JavaScript client, or connect it to Make, n8n, Zapier or Google Sheets. Results export as JSON, CSV or Excel.