CRM
Clean imports before creating contacts and automations.
Classify addresses as good, risky or bad and detect disposable domains, role accounts and catch-all behavior to reduce bounces and isolate records needing review.
The first button is an affiliate link. We may receive a commission if you purchase an eligible plan, at no extra cost to you.
Direct answer
Submit a list and use status, score and technical reasons to separate valid, risky and invalid addresses. Export the result and retain the reason behind each decision instead of deleting records blindly.
A positive verification does not guarantee delivery or permission to contact. Apply consent, legitimate-interest and anti-spam rules for your jurisdiction.
michael.g/email-verifier-validatorActor used
Built by Michael G. It was selected for adoption, practical utility and a use case not previously covered by FlujoDato.
Check the official listingPublic listing signals checked August 20, 2026; they can change.
Copy-ready setup
{
"emails": [
"ventas@empresa.com",
"contacto@proveedor.com",
"hola@gmail.com"
]
}Do not pay twice for the same normalized address.
Check how corporate, free and catch-all domains behave.
Do not automatically delete everything that is not good.
Store score and technical code for audit.
Output and controls
| Field | Use | Check |
|---|---|---|
status | Classify good, risky or bad | Define policy by segment |
score | Sort by confidence | Do not treat as contact permission |
technical_status | Understand the check | Can change with the server |
disposable / role | Detect special accounts | Review before exclusion |
catch_all | Flag ambiguous domains | Does not confirm an individual inbox |
Cost
The listing showed pricing from $0.60 per 1,000 results. Deduplication and a sample run prevent spending on repeated records or a poorly defined policy.
| Component | Published pricing | Check |
|---|---|---|
| michael.g/email-verifier-validator | from $0.60 per 1,000 results | Confirm current Apify pricing before running at volume. |
| Recommended pilot | Minimum input | Review quality before scaling |
Added value
Clean imports before creating contacts and automations.
Reduce avoidable bounces and protect sending quality.
Separate valid, risky and review-required records.
FAQ
No. Mailboxes, filters and policies can change after verification.
Not automatically. Mark them uncertain and decide based on value, source and risk.
No. Technical validation does not replace a lawful basis for contact.
Lead quality
Define how to handle good, risky, bad and catch-all using 20 real records.