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Email Finder

  • 205 installs
  • 31 repo stars
  • Updated August 2, 2026
  • shipshitdev/library

Find verified contact emails for prospects, partners, or press targets to support outbound launch outreach, partnership pitches, and early customer development without guessing addresses manually.

About

Provides a structured agent playbook to find professional email addresses for launch outreach: research company domains, apply pattern inference, validate deliverability signals, and assemble contact lists for founders doing manual BD, press, and early sales motions.

  • Prospect email discovery tactics
  • Domain and pattern-based lookup strategies
  • Verification and bounce-risk checks
  • Outreach list building workflow
  • Compliance-minded contact research tips

Email Finder by the numbers

  • 205 all-time installs (skills.sh)
  • Ranked #315 of 853 Sales & Marketing skills by installs in the Skillselion catalog
  • Data as of Aug 3, 2026 (Skillselion catalog sync)
npx skills add https://github.com/shipshitdev/library --skill email-finder

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Listed on Skillselion
Installs205
repo stars31
Last updatedAugust 2, 2026
Repositoryshipshitdev/library

What it does

Find verified contact emails for prospects, partners, or press targets to support outbound launch outreach, partnership pitches, and early customer development without guessing addresses manually.

Files

SKILL.mdMarkdownGitHub ↗

Email Finder

Overview

Discover email addresses associated with a domain using a hybrid approach: free methods first (web scraping, pattern guessing, WHOIS lookup), then APIs (Hunter.io, Apollo.io, etc.) when keys are available.

When to Use

  • Scan a domain to find associated emails
  • Find contact emails for a company
  • Replace email hunter functionality
  • Find email patterns for a domain
  • Verify email addresses
  • Enrich contact data with discovered emails

Project Context Discovery

Before finding emails:

1. Check for existing email discovery tools 2. Review available API keys (Hunter.io, Apollo.io) 3. Check compliance/privacy requirements 4. Look for project-specific [project]-email-finder skill

Methodology

Free Methods (Primary)

1. Web Scraping - Scan /contact, /about, /team pages for emails 2. WHOIS Lookup - Query domain registration data 3. Pattern Guessing - Generate patterns from names found on site:

  • firstname.lastname@domain.com
  • firstnamelastname@domain.com
  • firstname@domain.com
  • f.lastname@domain.com

API Methods (If Keys Available)

APIEnv VariablePurpose
Hunter.ioHUNTER_API_KEYDomain search + verification
Apollo.ioAPOLLO_API_KEYContact discovery
Snov.ioSNOV_CLIENT_ID/SECRETEmail finder
ClearbitCLEARBIT_API_KEYCompany enrichment

Email Result Interface

interface EmailResult {
  email: string;
  source: 'web-scraping' | 'whois' | 'pattern-guessing' | 'hunter' | 'apollo';
  confidence?: number;
  firstName?: string;
  lastName?: string;
  position?: string;
  verified?: boolean;
}

Best Practices

  • Rate limiting: Delay between requests (1s recommended)
  • Respect robots.txt: Check before scraping
  • Deduplicate: Normalize emails (lowercase, trim)
  • Verify: Use MX record checks or API verification
  • Filter: Remove noreply@, donotreply@ addresses

Legal & Ethical

  • Comply with GDPR/CCPA
  • Respect terms of service
  • Honor opt-out requests
  • Don't spam discovered emails

Integration

Works well with:

  • leads-researcher - Discover contact emails after researching companies
  • copywriter - Use found emails for outreach campaigns

---

For complete implementation code, API examples, verification patterns, and rate limiting utilities, see: references/full-guide.md

Related skills

Sales & Marketingdistributionlifecycle

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