Person Business Email Finder — Name + Company → Verified Email
Pricing
from $20.00 / 1,000 business email founds
Person Business Email Finder — Name + Company → Verified Email
Pricing
from $20.00 / 1,000 business email founds
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NexGenData
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15 hours ago
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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
| Field | Type | Description |
|---|---|---|
people | array | List of people. Each item is { "fullName": "...", "companyDomain": "..." }. You may also pass plain strings like "Patrick Collison, stripe.com". |
verify | boolean | When true (default), MX-verify each domain and detect its provider. |
{"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 ApifyClientclient = 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:
| Field | Description |
|---|---|
full_name | The person's name as provided. |
company_domain | The normalized company domain. |
best_email | The single most-likely public business email. |
candidate_emails | Ranked list of { email, pattern, rank } — every standard format, best first. |
mx_verified | true if the domain has valid DNS MX records (can receive mail). |
email_provider | Detected mail provider (e.g. Google Workspace, Microsoft 365). |
confidence | high / medium / low. |
is_free_provider | true if the domain is a consumer mailbox (gmail.com, etc.). |
mx_records | The top MX hosts found, with priorities. |
data_source | "Business email pattern inference + public DNS MX". |
as_of_timestamp | UTC ISO timestamp of the run. |
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. 🙏