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Person Business Email Finder — Name + Company → Verified Business Email

You know who you need to reach and where they work. You just don't have their email. This Actor closes that gap. Give it a person's name and their company's domain, and it returns the single most-likely public business email for that person — plus a ranked list of fallback candidates, live MX verification, and the company's email provider. It's the classic "Hunter-style" pattern finder, built on deterministic, well-known corporate email conventions. No black box, no scraped inboxes.

What this is: public business-email pattern inference. The Actor reproduces the standard formats organizations openly use for work addresses (first.last@, flast@, first@…) and verifies that the domain can actually receive mail. It is not a data broker, it does not scrape personal data, and it never reads a private mailbox.

⚡ What you get

• 🎯 One best email per person — the highest-probability public work address, ready to use.
• 📋 Ranked candidate list — every standard pattern (first.last, firstlast, flast, first, f.last, last.first, and more) ordered by real-world frequency, so you always have a fallback.
• ✅ Live MX verification — a real DNS lookup confirms the company domain can receive email (not a guess).
• 🏢 Email provider detection — Google Workspace, Microsoft 365, Proofpoint, Zoho, Fastmail, and more, inferred from the MX records.
• 📊 Confidence score — high / medium / low, factoring in pattern strength and MX status.
• 🔁 Bulk-ready — pass one person or a thousand; domains are MX-cached so big lists stay fast.
• ⏱️ Timestamped, structured JSON — clean fields, easy to pipe into a CRM, a sequencer, or a spreadsheet.

🎯 Use cases

• Sales & SDR prospecting — you found the decision-maker on LinkedIn; get their likely work email to start a sequence.
• Recruiting & sourcing — reach a candidate at their current employer without a paid seat.
• B2B lead enrichment — backfill the missing "email" column on a list of names + companies.
• PR & partnerships — contact a named exec, founder, or journalist at their organization.
• Founder & investor outreach — warm up a targeted list of named contacts at specific companies.
• Data hygiene — verify whether a guessed address pattern even resolves to a mail-capable domain.

🚀 How to use

Input

{
"people":[
{"fullName":"Patrick Collison","companyDomain":"stripe.com"},
{"fullName":"Brian Chesky","companyDomain":"airbnb.com"}
],
"verify":true
}

Run it with Python (Apify client)

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("nexgendata/person-business-email-finder").call(run_input={
"people":[
{"fullName":"Patrick Collison","companyDomain":"stripe.com"},
{"fullName":"Brian Chesky","companyDomain":"airbnb.com"},
],
"verify":True,
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item["full_name"],"→", item["best_email"],f"({item['confidence']})")

Run it with cURL

curl-X POST "https://api.apify.com/v2/acts/nexgendata~person-business-email-finder/runs?token=YOUR_APIFY_TOKEN"\
-H"Content-Type: application/json"\
-d'{
 "people": [
 { "fullName": "Patrick Collison", "companyDomain": "stripe.com" }
 ],
 "verify": true
 }'

Then fetch the dataset from the run's defaultDatasetId via GET /v2/datasets/{id}/items.

📊 Output fields

Each result row contains:

Sample output (real run on Patrick Collison @ stripe.com):

{
"full_name":"Patrick Collison",
"company_domain":"stripe.com",
"best_email":"patrick.collison@stripe.com",
"candidate_emails":[
{"email":"patrick.collison@stripe.com","pattern":"first.last","rank":1},
{"email":"patrickcollison@stripe.com","pattern":"firstlast","rank":2},
{"email":"pcollison@stripe.com","pattern":"flast","rank":3},
{"email":"patrick@stripe.com","pattern":"first","rank":4}
],
"mx_verified":true,
"email_provider":"Google Workspace",
"confidence":"high",
"data_source":"Business email pattern inference + public DNS MX",
"as_of_timestamp":"2026-06-13T23:10:16Z"
}

⚖️ Legal & ethical use

This Actor performs public business-email pattern inference only. It:

• Generates the standard, openly-documented email conventions that companies use for work addresses — the same formats a person would guess by hand.
• Confirms deliverability via a public DNS MX lookup (the same lookup any mail server performs).
• Does not scrape, harvest, purchase, or expose any private, personal, or non-public data, and never accesses a mailbox.

The output is an inference of a likely public work address, not a confirmed record. You are responsible for using the results lawfully — including compliance with GDPR, CAN-SPAM, CASL, and any applicable local marketing/privacy regulations. Use it for legitimate B2B communication, honor opt-outs, and don't contact people who've asked not to be contacted.

❓ FAQ

Is the best email guaranteed to be correct? No — and any tool that claims otherwise is overstating. This Actor returns the statistically most likely public business email based on common corporate conventions. For most companies using a standard first.last@ or flast@ format, the top candidate is correct a high share of the time; for companies with unusual or mixed conventions it may be a lower-ranked candidate. That's exactly why you get a ranked candidate list — try the best one, fall back as needed, and verify deliverability before bulk sending.

Does mx_verified: true mean the inbox exists? No. MX verification proves the domain can receive email, not that the specific mailbox is active. SMTP-level mailbox probing is intentionally not performed (it's unreliable and often blocked). Treat mx_verified as "this domain is real and mail-capable."

What if I only have a name and a company name (not a domain)? Provide the domain for best results. If you have only a company name, resolve it to a domain first (our Company Email Finder handles name/domain discovery).

How does confidence work? high = strong standard pattern on an MX-verified corporate domain. medium = verified domain but a weaker pattern. low = unverified domain, a free/consumer provider, or an unparseable name.

Does it handle accents and middle names? Yes — accents are normalized (e.g. é → e), titles/suffixes (Dr., Jr.) are stripped, and first/last tokens are extracted intelligently.

🔗 Related Actors

Build the full find → enrich → verify → deliver pipeline:

• 🏢 Company Email Finder — start from a domain, get back role-based business emails (sales@, support@, press@…).
• 🧩 B2B Contact Enricher — turn company names/domains into enriched contact records with firmographics + verification.
• 🗂️ Leads to Notion CRM — push your enriched, verified leads straight into a ready-to-use Notion CRM.

🏢 About NexGenData

NexGenData builds production-ready scrapers and MCP servers for AI agents and growth teams — covering business data, lead generation, real estate, finance, and regulatory filings. Pay-per-event pricing, clean structured output, and tools that work with Apify, n8n, Make, Zapier, Clay, and the MCP ecosystem.

If this Actor saved you time, a quick review on the Apify Store really helps others find it. 🙏