Email Finder Bulk — Lists of Domains or People to Emails

Find emails for a whole list in one run — not 500 separate actor calls.

Email Finder Bulk is a hybrid lead-generation tool that runs two jobs in a single run, so you never have to chain two actors or run one address at a time:

• Mode B — you have a list of DOMAINS (no names). Give it a list of company websites and it harvests the emails those sites publish — contact pages, mailto: links, page footers — and returns each one with a transparent source and a numeric confidence.
• Mode A — you have a list of PEOPLE (name + company domain). Give it firstName, lastName, and domain and it builds frequency-ranked email patterns, checks the domain's mail records, and (when the run network allows it) verifies the mailbox over SMTP — returning the best email plus ranked alternatives, each with its own confidence.

Use either mode on its own, or both together in the same run. Everything is merged into one clean, deduplicated table.

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Why this actor (what most bulk email tools get wrong)

Most email scrapers either return a single bare guess with no confidence, or they dump emails mixed with noise — tracking strings, image-filename artifacts, placeholder addresses — and leave you to clean it. Email Finder Bulk is built around three things those tools skip:

1. A confidence score on every email. You always know how much to trust a result, and where it came from (mailto link, contact page, page body, name pattern, or SMTP-verified).
2. A junk filter. Asset filenames (logo@2x.png), framework/tracking addresses, and placeholder domains (example.com, yourdomain.com) never reach your output.
3. Cross-list deduplication. Run a list of 300 domains and the same email found twice is collapsed into one row by default — a clean export, not a pile of repeats.

No API key. No login. You pay only for emails actually found.

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Input

You can fill in domains, people, or both.

Mode B — domains

A list of company domains or website URLs:

{
  "domains": ["stripe.com", "notion.so", "https://www.diverxo.com"],
  "maxPerDomain": 3
}

Mode A — people

A list of people, each with a name and company domain:

{
  "people": [
    { "firstName": "Patrick", "lastName": "Collison", "domain": "stripe.com" },
    { "firstName": "Tobias", "lastName": "Lutke", "domain": "shopify.com" }
  ],
  "verifySmtp": true
}

Options

Field	What it does	Default
domains	Mode B — websites to harvest emails from	—
people	Mode A — people to find work emails for	—
deduplicateEmails	Collapse the same email into one row; when off, repeats are marked duplicate_flag=true	true
maxPerDomain	Cap emails returned per harvested domain (cost + noise control)	3
verifySmtp	Mode A — attempt live SMTP verification; falls back to MX + pattern ranking if port 25 is blocked	true
maxAlternatives	Mode A — ranked alternative candidates per person	5
maxItems	Total output cap across both modes (0 = unlimited)	0
proxyConfiguration	Proxy used to reach websites; residential is the default and recommended for reliable access	residential

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Output

One flat row per email, merged across both modes:

{
  "domain": "acme.com",
  "email": "jane.doe@acme.com",
  "first_name": "Jane",
  "last_name": "Doe",
  "email_source": "smtp_verified",
  "confidence": 0.95,
  "duplicate_flag": false,
  "status": "verified",
  "is_role_account": false,
  "is_disposable": false,
  "mx_found": true,
  "verification_method": "smtp",
  "on_domain": true,
  "alternative_emails": [],
  "parse_confidence": 1.0,
  "input_mode": "people",
  "scraped_at": "2026-06-15T12:00:00Z"
}

Field guide

• email_source — where the email came from: mailto / contact_page / website_body (Mode B), or name_pattern / smtp_verified (Mode A).
• confidence — 0–1 score. SMTP-verified mailboxes and mailto links score highest; body-text matches score lower.
• duplicate_flag — true only when deduplication is off and the email already appeared earlier in the run.
• is_role_account — true for shared addresses like info@, sales@, support@.
• on_domain — true when the email's domain matches the site it was found on.
• status — verified, accept_all, unverified_guess, no_mx (Mode A), or harvested (Mode B).

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Pricing example

This actor is pay-per-result: you are charged once per email found, and never for failed lookups, low-confidence guesses, or collapsed duplicates.

Example: a run over 100 domains that finds 60 emails charges for 60 results. Domains that yield nothing cost you nothing in result fees.

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Use cases

• Outreach lists. Turn a list of company domains into a contact list ready for your sending tool.
• CRM enrichment. Feed a list of accounts (people or domains) and fill the email column with scored, deduplicated results.
• Lead research. Combine both modes — find decision-makers by name where you know them, and harvest general contacts where you don't.
• Agency prospecting. Process a target list once, with confidence on every row so you can prioritize the strongest contacts.

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FAQ

Do I need names? No. Mode B works from domains alone. Mode A is for when you do know the person's name.

Why do some emails have higher confidence? A mailbox confirmed over SMTP, or an address published in a mailto: link, is more trustworthy than one matched in page text — and the score reflects that.

Does SMTP verification always run? Mode A tries it, but many cloud networks block outbound port 25. When that happens the finder automatically falls back to MX + frequency-ranked patterns and labels the method accordingly — you still get a ranked best guess.

Will I get duplicates? Not by default. Deduplication collapses repeats into one row. Turn it off if you want to see every occurrence with a duplicate_flag.

Is a proxy required? For Mode B, a residential proxy is used by default for reliable access to target websites. You can adjust it in proxyConfiguration.

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Legal & responsible use

This actor collects publicly available contact information that companies and individuals choose to publish on their own websites and through public mail records. Use the results in compliance with applicable laws (including GDPR, CAN-SPAM, and local marketing regulations) and the terms of the sites you target. You are responsible for how you contact the people and businesses you find — always honor opt-outs and obtain consent where required.