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Email Finder

shipshitdevbyshipshitdev
•
10
•
Automatización de Marketing

Discovers and verifies professional email addresses from domains using web scraping, pattern guessing, and industry-standard APIs.

The Email Finder skill empowers Claude to perform lead generation and contact discovery directly within your development or research workflow. It employs a hybrid methodology, first attempting free techniques like scraping contact pages, analyzing WHOIS data, and guessing common email patterns before escalating to premium APIs like Hunter.io or Apollo.io. Whether you are automating outreach or enriching CRM data, this skill ensures accuracy through pattern verification and deduplication, while maintaining compliance with privacy standards like GDPR and CCPA.

Características Principales

0110 GitHub stars
02Hybrid discovery combining web scraping, WHOIS lookups, and API integrations
03Built-in verification and MX record checking for higher accuracy
04Automatic deduplication and normalization of discovered contacts
05Intelligent pattern guessing for organizational email structures
06Support for Hunter.io, Apollo.io, Snov.io, and Clearbit APIs

Casos de Uso

01Enriching existing contact lists with verified professional email addresses
02Discovering technical or administrative contacts for domain owners
03Automating lead generation for sales and outreach campaigns
name description version tags
email-finder
This skill should be used when users need to find email addresses associated with a domain. It activates when users ask to scan a domain for emails, find contact emails, discover email addresses, or replace email hunter functionality.
1.0.0
email
domain
contact-discovery
lead-generation

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)

API Env Variable Purpose
Hunter.io HUNTER_API_KEY Domain search + verification
Apollo.io APOLLO_API_KEY Contact discovery
Snov.io SNOV_CLIENT_ID/SECRET Email finder
Clearbit CLEARBIT_API_KEY Company 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