Website Email Scraper & Social Media Extractor 🔍

The most powerful email extractor online that scrapes emails, social media profiles, and phone numbers from any website. This website email finder handles obfuscation, validates contacts, and exports structured data for lead generation and business intelligence.

What This Email Scraper Does

This website email extractor crawls websites to find:

• 📧 Email addresses - From mailto links, plain text, and obfuscated formats
• 🔗 Social media profiles - LinkedIn, Twitter/X, Facebook, Instagram, YouTube, GitHub, TikTok, Pinterest
• 📞 Phone numbers - International formats with country detection

Key Features

Advanced Email Extraction

• Mailto link detection - Extracts emails from mailto: links with 100% confidence
• Plain text scanning - Finds emails anywhere in page content
• Obfuscation handling - Decodes [at], [dot], spaced formats, and more
• Domain filtering - Exclude generic domains (gmail.com, example.com)
• Validation - Format validation to ensure quality data

Social Media Profile Extraction

• LinkedIn - Company pages, personal profiles, school pages
• Twitter/X - User profiles and handles
• Facebook - Pages and profiles
• Instagram - User profiles
• YouTube - Channels and user pages
• GitHub - User and organization profiles
• TikTok - Creator profiles
• Pinterest - User boards

Phone Number Extraction

• US/Canada format detection
• UK, Germany, France, Australia formats
• International number support
• Confidence scoring

Use Cases

🎯 Lead Generation for B2B Sales

Find decision-makers' emails from company websites. Input a list of company URLs and get emails + LinkedIn profiles.

📱 Influencer Outreach

Build a database of influencer contacts. Extract emails, Instagram, Twitter, and YouTube from portfolios.

🔍 Competitor Intelligence

Track competitor social media presence. Deep crawl /about, /team, and /contact pages.

💼 Job Application Contact Finder

Find hiring manager emails for cold applications from company careers pages.

Input Configuration

Parameter	Type	Description	Default
startUrls	array	URLs to scrape for contact information	Required
maxRequestsPerCrawl	integer	Maximum pages to crawl per website	100
crawlDepth	integer	How deep to crawl (0 = start URLs only)	1
linkPatterns	array	Patterns for links to follow	contact, about, team
extractEmails	boolean	Extract email addresses	true
extractSocials	boolean	Extract social media profiles	true
extractPhones	boolean	Extract phone numbers	true
handleObfuscation	boolean	Decode obfuscated emails	true
excludeEmailDomains	array	Domains to exclude	example.com, test.com
socialPlatforms	array	Platforms to extract	all
maxConcurrency	integer	Parallel page processing	5

Example Input

{
  "startUrls": [
    { "url": "https://example.com" },
    { "url": "https://company.com/contact" }
  ],
  "maxRequestsPerCrawl": 50,
  "crawlDepth": 2,
  "extractEmails": true,
  "extractSocials": true,
  "extractPhones": true,
  "handleObfuscation": true,
  "excludeEmailDomains": ["gmail.com", "yahoo.com", "example.com"],
  "socialPlatforms": ["linkedin", "twitter", "facebook"]
}

Output Format

Full Contact Output

{
  "url": "https://example.com/contact",
  "domain": "example.com",
  "pageTitle": "Contact Us - Example Corp",
  "scrapedAt": "2025-01-15T10:30:00Z",
  "emails": [
    {
      "email": "contact@example.com",
      "type": "mailto",
      "confidence": 1.0
    },
    {
      "email": "sales@example.com",
      "type": "plaintext",
      "confidence": 0.95
    }
  ],
  "socials": [
    {
      "platform": "linkedin",
      "url": "https://linkedin.com/company/example-corp",
      "username": "example-corp",
      "confidence": 1.0
    },
    {
      "platform": "twitter",
      "url": "https://twitter.com/examplecorp",
      "username": "examplecorp",
      "confidence": 1.0
    }
  ],
  "phones": [
    {
      "raw": "+1-555-0100",
      "digits": "15550100",
      "confidence": 0.9
    }
  ]
}

How It Works

1. Input URLs - Provide starting URLs to scrape
2. Smart Crawling - Follows contact, about, and team pages automatically
3. Pattern Matching - Uses advanced regex to find emails, socials, and phones
4. Obfuscation Handling - Decodes hidden/encoded contact info
5. Validation - Filters out invalid and placeholder data
6. Deduplication - Removes duplicate contacts across pages
7. Structured Output - Exports clean JSON/CSV data

Email Extraction Patterns

This email scraping tool detects:

Pattern	Example	Confidence
Mailto links	mailto:info@company.com	100%
Plain text	info@company.com	95%
[at] [dot]	info[at]company[dot]com	85%
Spaced	info at company dot com	80%

Supported Social Platforms

Platform	URL Patterns Detected
LinkedIn	/company/, /in/, /school/
Twitter/X	twitter.com/, x.com/
Facebook	facebook.com/, fb.com/
Instagram	instagram.com/, instagr.am/
YouTube	/channel/, /c/, /user/, /@
GitHub	github.com/
TikTok	tiktok.com/@
Pinterest	pinterest.com/

Performance

• Speed: ~500ms per page (static HTML)
• Accuracy: 95%+ for validated emails
• Concurrency: Process 5-20 pages in parallel
• Scale: Crawl thousands of pages per run

Comparison with Other Tools

Feature	This Actor	Hunter.io	Snov.io
Email extraction	✅	✅	✅
Social profiles	✅ All platforms	❌ Limited	❌ LinkedIn only
Phone extraction	✅	❌	✅
Obfuscation handling	✅	❌	❌
Custom crawling	✅ Full control	❌ Domain-only	❌ Domain-only
Self-hosted option	✅	❌	❌

Tips for Best Results

1. Start with contact pages - Add /contact, /about URLs directly for faster results
2. Use crawl depth wisely - Depth 1-2 is usually enough for most sites
3. Filter email domains - Exclude generic providers to get business emails only
4. Enable obfuscation handling - Many sites hide emails to prevent scraping
5. Use proxy - Enable Apify Proxy for better success rates on protected sites

Legal & Ethical Use

This tool extracts publicly available contact information. Users are responsible for:

• Complying with data protection laws (GDPR, CCPA, etc.)
• Respecting website terms of service
• Using extracted data ethically and legally
• Obtaining consent before sending marketing emails

We do not condone spam or privacy violations.

API Access

Use this Actor programmatically via the Apify API:

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "YOUR_API_TOKEN" });

const run = await client.actor("YOUR_ACTOR_ID").call({
  startUrls: [{ url: "https://example.com" }],
  extractEmails: true,
  extractSocials: true,
  extractPhones: true,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Keywords

website email extractor, email extractor online, website email finder, email scraper, scrape emails from website, email lookup, email extractor api, website phone number extractor, website phone number finder, social media scraper, linkedin scraper, contact scraper, lead generation tool, b2b email finder, business email extractor

Support

• 📖 Apify Documentation
• 💬 Discord Community
• 🐛 Report Issues

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