🔥 Leads Scraper with Emails

Build high-volume B2B lead lists with work emails, phone numbers, LinkedIn profiles, and rich company firmographics. Filter by job title, seniority, department, person/company location, industry, revenue, funding, and more.

✨ Key Features

• 👤 Contact name, title, seniority, and department
• ✉️ Work and personal emails (optional enrichment)
• ☎️ Phone numbers when available
• 🔗 LinkedIn profile and company pages
• 🏢 Company name, website, industry, size, founded year, and specialties
• 📍 Person and company location filters (country / state)
• 📈 Revenue, funding type, and business-model filters
• 📋 Structured JSON output, streamed while the run is in progress

💪 Why Choose This Actor?

• Focused: Built for B2B lead generation similar to Apollo-style search
• Flexible: Combine title, seniority, geography, and firmographic filters
• Efficient: Results are pushed continuously while the job runs
• Structured: Renamed, integration-friendly field names
• Clean: Status / log-noise rows from upstream are filtered out automatically

🎯 Perfect For

• 📬 Outbound sales and email outreach lists
• 🏢 Agency / SaaS prospecting
• 📊 Market mapping by industry and geography
• 🤖 CRM and enrichment pipelines

📝 Input Requirements

• maxLeads (required for large runs): Max leads to return (minimum 100, up to 30,000)
• includeEmails (optional): Enrich leads with emails
• verifiedEmailsOnly (optional): Keep only verified-email leads
• jobTitles / seniority / departments (optional): Role filters
• personCountries / personStates (optional): Person location
• companyCountries / companyStates / companyDomains / companySizes (optional): Company filters
• industries / industryKeywords / revenueBands / fundingTypes / businessModels (optional): Firmographics

Input Example

{
  "jobTitles": ["CEO", "Founder"],
  "seniority": ["Founder", "CEO"],
  "personCountries": ["United States"],
  "personStates": ["California"],
  "companySizes": ["11 - 50", "51 - 200"],
  "includeEmails": true,
  "maxLeads": 100
}

Output Example

{
  "contactName": "Jane Example",
  "givenName": "Jane",
  "familyName": "Example",
  "jobTitle": "CEO",
  "workEmail": "jane@example.com",
  "profileUrl": "https://www.linkedin.com/in/jane-example",
  "city": "San Francisco",
  "state": "California",
  "country": "United States",
  "companyName": "Example SaaS Inc",
  "companyIndustry": "Software Development",
  "companySize": "51 - 200",
  "scrapedAt": "2026-07-21T08:00:00.000Z"
}

🚀 How to Use

1. Set job titles, location, and company filters
2. Enable includeEmails when you need outreach-ready contacts
3. Set maxLeads (at least 100) and click Start
4. Download results as JSON, CSV, Excel, or HTML

📌 Notes

• Start with 2–3 filters, then tighten if results are too broad
• Prefer country-level location first; add states only when needed
• Very strict filters (exact domain + department + verified email) can return fewer leads
• Upstream status messages (e.g. “refer to the log…”) are removed from the dataset automatically