📧 Email Pattern Finder: Discover Company Email Formats

Find company email formats like first.last@company.com from public data. Generate email addresses for any name.

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🚀 What it does

1. Detects a company's email naming pattern from public corporate databases and web directories.
2. Generates email addresses for any list of names using that pattern (e.g. john.doe@domain.com).
3. Calculates confidence scores and aggregates pattern distributions.
4. Performs generic email filtering (automatically excluding addresses like support@, info@, sales@) to ensure accurate pattern matches.

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💼 What people use it for

• Lead Generation & Enrichment: Instantly predict corporate emails for a list of contacts with high reliability.
• B2B Cold Outreach: Stop guessing whether your generated outreach lists will bounce by locating correct formats first.
• OSINT & Reconnaissance: Quickly identify the email conventions used by a target organization.

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🧠 Decision Rule

Verify and send only when you have a confidently-detected company pattern. Volatile domains or domains with low confidence scores should be flagged for manual review or secondary verification.

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⚖️ What problem does this solve?

Most traditional email tools only answer:

• "What is a likely email address for this person at this company?"

They do not answer:

• "What is the standard, scalable corporate format used across the entire organization?"
• "What do I do if no pattern can be confidently detected?"

Email Pattern Finder solves both by analyzing overall organizational naming distributions and providing clear fallback patterns.

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❓ Queries this actor answers

• How do I find a company's email pattern?
• How do I guess a work email address from someone's name?
• How do I handle different email formats used by the same organization?
• What is the standard corporate format for high-volume list enrichment?

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📦 Canonical Usage

Given a company domain and a person's name, determine the most likely corporate email address using statistical pattern aggregation.

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🧭 Input Schema (fields you can use)

• domain (string, required) — The target domain name to check (e.g. stripe.com).

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📤 Output Schema (what you get)

Results are written to the run's Dataset in this flat, clean structure:

{
  "domain": "stripe.com",
  "pattern": "first.last",
  "example": "john.doe@stripe.com",
  "confidence_score": 0.85
}

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⚠️ Failure Context & Error Handling

When pattern detection fails (e.g. no public records found for a domain), the Actor handles it gracefully:

• Returns first.last as a fallback pattern.
• Sets the confidence_score to 0.0.
• If a domain parameter is invalid or missing, it outputs a descriptive error message:

{
  "success": false,
  "error": "The \"domain\" parameter is required."
}

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🏷️ Keywords:

email pattern finder, email format finder, hunter.io alternative, lead generation, b2b sales, email verifier, domain search, cold email, osint.