Email Finder & LinkedIn Scraper - B2B Lead Enrichment Tool

The most complete B2B lead enrichment scraper on Apify. Find business emails, phone numbers, LinkedIn profiles, tech stack, and company data from any website. Bulk processing, 100% free plan compatible, no API keys needed.

🎯 What this lead enrichment tool does

This all-in-one email finder / LinkedIn scraper / B2B lead enrichment / company data extractor gives you:

• 📧 Email finder — extract business emails from company websites
• 📞 Phone number extraction — find phone numbers from contact pages
• 💼 LinkedIn scraper — get LinkedIn company profile URLs
• 🌐 Social media links — Twitter/X, Facebook, Instagram profiles
• 🧰 Tech stack detection — identify 40+ technologies (WordPress, Shopify, React, Stripe, HubSpot, AWS, Cloudflare, etc.)
• 📅 WHOIS data — domain age, registrar, creation date, expiry
• 🔒 SSL certificate info — issuer, expiry, validity
• ✉️ MX records check — verify if the domain can receive email
• 🎓 Lead quality score — automatic A/B/C/D grading (0-100)
• 👔 Executive email patterns — CEO, CTO, CFO, HR, Sales email guesses
• 📊 Email confidence scoring — rank emails by likelihood of being real

💼 Perfect for

• B2B sales prospecting — build targeted lead lists with verified contacts
• Cold outreach campaigns — find decision-maker emails at scale
• CRM enrichment — enrich your Salesforce, HubSpot, Pipedrive contacts
• Lead generation agencies — deliver enriched leads to clients
• Recruitment — find HR contacts and hiring managers
• Partnership outreach — identify BD contacts at target companies
• Competitive research — analyze competitor tech stacks and positioning
• Marketing agencies — build prospect lists for clients
• Investor research — enrich portfolio companies and prospects
• Data enrichment workflows — feed into Zapier, Make, n8n pipelines

🔑 Features

Email finding

• ✅ Extract emails from homepage + /contact, /about, /team, /support pages
• ✅ Separate personal emails vs generic (info@, contact@, sales@)
• ✅ Email confidence score (0-100) for each email
• ✅ Filter out junk emails (sentry, example.com, noreply, etc.)
• ✅ Pattern generation from first name + last name

Company intelligence

• ✅ Tech stack detection — 40+ technologies across CMS, frameworks, analytics, hosting, e-commerce, chat/support, email tools
• ✅ WHOIS lookup — domain age, registrar, creation/expiry dates
• ✅ SSL certificate — issuer, expiry, days remaining, validity
• ✅ MX records — real DNS check via dnspython
• ✅ Company name + description from meta tags

Contact data

• ✅ Phone numbers — strict extraction from tel: links, international format, US format
• ✅ LinkedIn company URL
• ✅ Twitter / X profile
• ✅ Facebook page
• ✅ Instagram profile

Lead scoring

• ✅ Overall lead score (0-100) based on 12 signals
• ✅ Lead grade: A (Hot) / B (Warm) / C (Cool) / D (Cold)
• ✅ Run summary saved with totals, grade distribution, timing

📋 Input

Field	Type	Description
urls	Array of strings (required)	List of company website URLs
firstName	String (optional)	Contact's first name — used for email pattern prediction
lastName	String (optional)	Contact's last name — used for email pattern prediction

Example input

{
  "urls": [
    "https://stripe.com",
    "https://figma.com",
    "https://shopify.com"
  ],
  "firstName": "John",
  "lastName": "Doe"
}

📤 Output example

{
  "domain": "stripe.com",
  "company_name": "Stripe | Financial Infrastructure",
  "lead_grade": "A - Hot Lead",
  "lead_score": 88,
  "emails": ["press@stripe.com", "sales@stripe.com"],
  "scored_emails": [
    { "email": "press@stripe.com", "confidence": 90 }
  ],
  "phones": ["+1 888-926-2289"],
  "linkedin": ["https://www.linkedin.com/company/stripe"],
  "twitter": ["https://twitter.com/stripe"],
  "tech_stack": ["React", "Next.js", "Stripe", "AWS", "Segment"],
  "has_mx_records": true,
  "whois": {
    "domain_age_days": 11163,
    "registrar": "Safenames Ltd",
    "creation_date": "1995-09-12"
  },
  "ssl": { "ssl_valid": true, "ssl_issuer": "DigiCert Inc", "ssl_days_left": 46 },
  "executive_emails": {
    "verified": false,
    "note": "Role-based patterns - not individually verified",
    "patterns": { "CEO": "ceo@stripe.com" }
  }
}

💡 Use cases

1. Build a B2B sales lead list

Input 100 target company URLs → get enriched data with emails, phones, LinkedIn, tech stack, and lead score. Export to CSV for your CRM.

2. Cold email outreach at scale

Find decision-maker email patterns (CEO, CTO, VP Sales) for your prospect list. Combine with email verification tools.

3. Tech stack targeting

Selling a product that works with Shopify? Find all prospects running Shopify by checking the tech_stack field.

4. Qualify inbound leads

New signup from company.com? Run it through this tool to see if it's a real business (MX, SSL, domain age) and what grade lead they are.

5. Competitor analysis

Research competitor tech stack, team size indicators, domain history, and contact surface area.

6. Recruitment prospecting

Find HR and hiring contacts at target companies for your recruitment outreach.

❓ FAQ

Q: How is this different from Apollo, ZoomInfo, or Hunter.io? A: This is a bulk Apify scraper with no subscription — you pay per use. Perfect for one-off projects, small teams, and workflows where you don't need a $100/month tool.

Q: Are the emails verified? A: Emails found on public pages are real. Pattern-generated executive emails (ceo@, cto@) are guesses and marked as unverified — always validate before cold outreach.

Q: What's the lead score based on? A: 12 signals: email count, personal emails found, phones, LinkedIn presence, other socials, MX records, tech stack richness, domain age, SSL validity, company name.

Q: Does it work on JavaScript-heavy sites? A: It uses HTTP requests (not a headless browser), so SPA sites may show less data. Most marketing sites render content server-side and work fine.

Q: Can I use this on a free Apify plan? A: Yes! Optimized for free plan — uses only 512 MB memory, so you can process hundreds of leads with your $5 monthly credits.

Q: Does it find LinkedIn profiles of individuals or just companies? A: Company LinkedIn URLs are extracted from websites. For individual profiles, you'd need a dedicated LinkedIn people search tool.

🔖 Keywords

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📞 Support

Questions or feature requests? Contact the author on Apify.