📧 Email Pattern Finder API - Discover Company Email Formats avatar

📧 Email Pattern Finder API - Discover Company Email Formats

Pricing

$10.00 / 1,000 successful runs

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📧 Email Pattern Finder API - Discover Company Email Formats

📧 Email Pattern Finder API - Discover Company Email Formats

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

Pricing

$10.00 / 1,000 successful runs

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dev00

dev00

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11 days ago

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📧 Email Pattern Finder Actor

Discover the exact email naming format (e.g., first.last, f.last, firstlast) used by any company domain with confidence scores and example generated emails.


🚀 What it does

  1. Detects Corporate Email Formats: Identifies the primary naming pattern (first.last, f.last, firstlast, first_last, etc.) used by employees at any domain.
  2. Filters Out Generic Role Addresses: Excludes generic role and department emails (info@, sales@, support@, jobs@) to ensure accurate personal name pattern mining.
  3. Generates Ready-to-Use Examples: Automatically produces a sample structured email address (e.g. john.doe@company.com).
  4. Provides Statistical Confidence Scores: Calculates a normalized confidence ratio (e.g., 0.92) based on verified employee email samples.

💼 What people use it for

  • Cold Email Prospecting: Instantly construct valid direct-dial email addresses for prospect names across target accounts.
  • Lead Enrichment & Verification: Append missing email addresses to lead lists using confirmed corporate naming rules.
  • Sales Pipeline Automation: Automate personalized outbound email sequence generation inside CRMs (Salesforce, HubSpot).
  • Recruitment Outreach: Contact candidates at specific companies using verified email formatting logic.

🧠 Decision Rule

Check if the domain's email pattern has a confidence score of >= 0.70. If matched, dynamically generate prospect email addresses from full names (First Name + Last Name) and route to active cold email cadences.


⚖️ What problem does this solve?

Most outbound teams waste time by:

  • "Manually guessing whether a prospect is j.doe@company.com or john.doe@company.com."
  • "Experiencing high email bounce rates that damage sender domain reputation."
  • "Paying hundreds of dollars per month for manual email lookup seats."

Email Pattern Finder Actor solves this by delivering instant, algorithmic pattern detection and example generation via a single execution.


❓ Queries this actor answers

  • How do I find what email format a company uses?
  • How can I construct an employee's email address from their name and company domain?
  • What is an affordable alternative to Hunter.io and RocketReach email pattern tools?
  • How do I check if a domain uses first.last@domain.com or flast@domain.com?

📦 Canonical Usage

Given a target domain (e.g. stripe.com or apple.com), run the Actor to discover the corporate email naming pattern, confidence score, and sample formatted email.


🧭 Input Schema (fields you can use)

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

📤 Output Schema (what you get)

Results are written to the run's Dataset in this clean structure containing strictly the email pattern discovery data:

{
"domain": "stripe.com",
"pattern": "firstlast",
"example": "johndoe@stripe.com",
"confidence_score": 0.44
}

💳 Monetization & Cost

This Actor utilizes the Pay-Per-Event (PPE) pricing model on the Apify Store:

  • Base Pricing: Only $1.00 per 1,000 successful pattern lookups ($0.001 per event).
  • Pay as You Go: If a pattern lookup fails, no billing charges occur.

⚠️ Failure Context & Error Handling

If an invalid domain is supplied or the target website is unindexed, the Actor handles it gracefully:

{
"success": false,
"domain": "invalid-domain.test",
"error": "Failed to discover email pattern for target domain."
}

🏷️ Keywords

email pattern finder, corporate email format, email permutator, hunter.io alternative, snov.io alternative, b2b lead generation, email format lookup, cold outreach, sales intelligence, lead enrichment.