Lead Generator & Email Finder

Extract emails, phone numbers, social media profiles, and business information from any website or search results. Perfect for sales prospecting, lead enrichment, and market research.

---

🚀 Quick Start

1. Install dependencies

$npm install

2. Run locally

# Via script (uses input from Apify storage or defaults)
npm start

# Or directly with custom input
node src/main.js

3. Run on Apify Platform

• Deploy this actor to Apify Console
• Or run via CLI: apify run

---

📋 Input Parameters

Parameter	Type	Default	Description
startUrls	array	[]	List of website URLs to scrape for leads
searchQuery	string	""	Google search query to find businesses (e.g. "plumbers in Austin")
keywords	string	""	Comma-separated keywords (alternative to searchQuery)
maxLeads	integer	50	Maximum number of lead records to collect (max: 10,000)
maxPages	integer	10	Max pages to crawl per domain when deep extraction is enabled
extractDeep	boolean	false	Crawl deeper into each domain to find more contact pages
includePhones	boolean	true	Extract phone numbers alongside emails
includeSocial	boolean	true	Extract LinkedIn, Twitter, Facebook, Instagram, and other social links
proxyConfiguration	object	Apify Proxy	Proxy config to avoid IP blocking (recommended: RESIDENTIAL proxies)

Input examples

Option 1: Direct URLs

{
  "startUrls": [
    { "url": "https://example-company.com" },
    { "url": "https://another-business.com/contact" }
  ],
  "maxLeads": 100,
  "includePhones": true
}

Option 2: Search Query (find leads from Google)

{
  "searchQuery": "real estate agents in San Francisco",
  "maxLeads": 200,
  "extractDeep": true,
  "includeSocial": true
}

Option 3: Bulk keywords

{
  "keywords": "dentist, dental clinic, orthodontist",
  "maxLeads": 500,
  "extractDeep": true
}

---

📤 Output Fields

Each lead record contains:

Field	Type	Description
url	string	Source URL where lead was found
companyName	string	Company or business name (from meta tags / title)
description	string	Meta description or business description
emails	string[]	All discovered email addresses
phones	string[]	All discovered phone numbers (if enabled)
socialLinks	object[]	Social media URLs with platform name
address	string	Physical address (if found in structured data)
crawledAt	string	ISO timestamp of extraction

Sample output

[
  {
    "url": "https://example-company.com/contact",
    "companyName": "Example Company Inc.",
    "description": "Leading provider of widgets and gadgets since 1999.",
    "emails": ["info@example-company.com", "support@example-company.com"],
    "phones": ["+15551234567"],
    "socialLinks": [
      { "platform": "LinkedIn", "url": "https://linkedin.com/company/example" },
      { "platform": "Twitter/X", "url": "https://twitter.com/example" }
    ],
    "address": "123 Main St, San Francisco, CA 94102",
    "crawledAt": "2026-05-30T12:00:00.000Z"
  }
]

---

💰 Pricing

Plan	Credits per run	What you get
Starter	$20	Up to 100 leads, basic extraction
Professional	$35	Up to 500 leads, deep extraction, social + phones
Enterprise	$50	Up to 10,000 leads, full deep crawl, priority support

Pricing is per run. Runs are charged based on compute units consumed. Most runs complete within 2–10 minutes depending on maxLeads and extractDeep settings.

---

🎯 Common Use Cases

1. Sales Prospecting — Build targeted lead lists from competitor websites or industry directories
2. Recruitment — Find contact info for companies in specific locations or sectors
3. Market Research — Gather competitive intelligence and business data
4. Partnership Outreach — Discover partnership opportunities with relevant businesses
5. Email Marketing — Build permission-based email lists from public websites

---

🔧 How It Works

1. Accepts your target URLs or search queries
2. Navigates each page using a real browser (Playwright) — renders JavaScript, handles SPAs
3. Extracts emails via regex patterns, phone numbers, social links, and business metadata
4. Optionally deep-crawls the domain to find contact/about pages
5. Deduplicates and delivers clean, structured lead data to your dataset

---

⚠️ Best Practices

• Use proxy rotation — Enable Apify residential proxies for SERP scraping
• Set realistic maxLeads — Start with 50–100 to test, then scale up
• Deep extraction works best on well-structured business websites
• Combine with searchQuery for the most powerful lead generation — Google finds businesses, we extract their contacts

---

📄 License

MIT