email-finder

Original：🇺🇸 English

Translated

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.

2installs

Sourceshipshitdev/library

Added on2026-02-04

NPX Install

npx skill4agent add shipshitdev/library email-finder

SKILL.md Content

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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:

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

Methodology

Free Methods (Primary)

Web Scraping - Scan
```
/contact
```
,
```
/about
```
,
```
/team
```
pages for emails
WHOIS Lookup - Query domain registration data

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

typescript

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