🎯 Premium B2B Leads Scraper (Similar To Apollo) — Emails + LinkedIn + Phones (where available)

Pay only for what you extract • Starting at $1 per 1,000 leads • No monthly commitment

Extract up to 50,000 contacts per run from a growing database of 90M+ professional records.

LinkedIn URLs ~95%+ coverage • ~70%+ email coverage • ~10% phone coverage (improving weekly).

👉 Visit Pipeline Labs Lead Viewer to preview lead counts and test filters before running extractions.

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🔥 Why Choose This Actor

• Massive Volume — Up to 50,000 leads per run (competitors cap at 10k–30k).
• Pay-Per-Use — Starting at $1 per 1,000 leads. No subscriptions. No monthly fees.
• Smart Auto-Resume — Stops/resumes without duplicates. Perfect for large scrapes.
• Verified LinkedIn URLs — Almost every record includes a LinkedIn profile.
• Phone Numbers Included — ~10% of leads include phone numbers (coverage improving weekly).
• Growing Coverage — Database enriched weekly; US emails ~76% verified coverage.
• Flexible Search — Filter by keywords across company names, descriptions, and specialties.

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💡 How to Use

1️⃣ Preview Your Search
Visit Pipeline Labs Lead Viewer → Set your filters → See real-time lead counts

2️⃣ Export Your Filters
Click "Generate JSON" in the viewer → Copy the JSON output

3️⃣ Run & Download
Paste JSON into Apify actor input → Start run → Export results as CSV/JSON/Excel

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🚦 Run Policy

Free Apify Users:

• 100 leads per run maximum
• Rate: $2 per 1,000 leads

Paid Apify Users:

• 50,000 leads per run maximum
• Rate: $1 per 1,000 leads
• No monthly limits — extract as many leads as you need

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📊 Data Coverage

• 90M+ professional records (global, refreshed weekly).
• LinkedIn URLs: ✅ ~95%+ coverage
• Email addresses: ~76% US, ~65% global (growing weekly)
• Phone numbers: ~10% coverage (growing weekly)
• Verification: Each record includes emailStatus (Verified / Unverified).

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🔄 Progress Tracking

The actor automatically saves your progress for each unique search:

• Same filters = continues from last position (no duplicates)
• Different filters = starts fresh extraction
• Progress stored for 30 days, then resets
• Works perfectly for multi-run extractions (e.g., extracting 200k leads across four 50k runs)

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📌 Best Practices

Start Broad:
Begin with fewer filters (2–3) and add more gradually. Use country instead of state if results are low.

Preview First:
Always check lead counts in the Lead Viewer before running.

Avoid Overly Narrow Filters:
If getting zero results, try removing strict filters like specific domains or email status requirements.

Check for Typos:
Small spelling errors can yield zero results.

Need Help?
Check the run logs for details or contact support.

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🛠 Input Parameters

Person Filters:

• personTitle — Job titles (e.g., ["CEO", "Marketing Manager"])
• seniority — Seniority levels (C-Suite, VP, Director, Manager, etc.)
• functional — Departments (Sales, Marketing, Engineering, etc.)
• personCountry / personState / personCity — Location

Company Filters:

• companyKeyword — Search names, descriptions, specialties (e.g., ["AI", "software"])
• companyIndustry — Industries
• companyEmployeeSize — Employee ranges (e.g., ["11 - 50", "51 - 200"])
• companyDomain — Domain names (e.g., ["google.com", "apify.com"])
• companyCountry / companyState / companyCity — HQ location

Quality Filters:

• contactEmailStatus — Email verification ("Verified" / "Unverified")
• hasEmail — Only return leads with emails (boolean)
• hasPhone — Only return leads with phones (boolean)

Output:

• totalResults — Number of leads to extract (max 50,000)

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🛠 Input Schema

{
  "companyCity": ["Austin"],
  "companyCountry": ["United States"],
  "companyDomain": ["brightpathsolutions.com", "techcorp.com"],
  "companyEmployeeSize": ["2 - 10", "11 - 50", "51 - 200"],
  "companyIndustry": ["Marketing"],
  "companyKeyword": ["software", "AI", "automation"],
  "companyState": ["Texas"],
  "contactEmailStatus": ["Verified"],
  "functional": ["Sales"],
  "hasEmail": true,
  "hasPhone": true,
  "personCity": ["Dallas"],
  "personCountry": ["United States"],
  "personState": ["Texas"],
  "personTitle": ["Head of Sales", "Sales Director"],
  "seniority": ["C-Suite"],
  "totalResults": 50000
}

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📤 Output Schema

{
  "fullName": "Michael Torres",
  "email": "mtorres@brightsummitgroup.com",
  "position": "Operations Manager",
  "phone": "+1-305-555-0193",
  "city": "Miami",
  "state": "Florida",
  "country": "United States",
  "linkedinUrl": "http://www.linkedin.com/in/michael-torres-8392b61a4",
  "seniority": "manager",
  "functional": "['operations']",
  "emailStatus": "Verified",
  "orgName": "Bright Summit Group",
  "orgWebsite": "http://www.brightsummitgroup.com",
  "orgSize": "120",
  "orgIndustry": "['logistics & supply chain']",
  "orgCity": "Orlando",
  "orgState": "Florida",
  "orgCountry": "United States"
}

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💰 Pricing

Free Tier:

• 100 leads per run
• $2 per 1,000 leads

Paid Tier:

• 50,000 leads per run
• $1 per 1,000 leads
• No monthly commitment

Example Costs:

• 1,000 leads = $1.00 (paid) / $2.00 (free)
• 10,000 leads = $10.00 (paid only)
• 50,000 leads = $50.00 (paid only)

💡 Pro Tip: Use the Lead Viewer to preview your search and see exactly how many leads match your filters before extracting.

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⚠️ Data Quality Notes

While the actor provides high-quality data, please note:

• Emails — ~70% coverage (stronger for US-based leads). Each record includes emailStatus for verification status.
• Phones — ~10% coverage, improving weekly.
• LinkedIn URLs — Nearly every record includes a verified LinkedIn profile.
• Weekly Updates — Database enriched continuously for improved coverage.

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🛟 Support

• Email: contactpipelinelabs@gmail.com
• Response Time: Under 24 hours
• Bug Reports: Use the Apify "Issues" tab

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🚀 Get Started

1. Preview → Test your filters and see lead counts
2. Export → Generate JSON from the viewer
3. Extract → Paste into actor and run (100 leads for testing)
4. Scale → Extract as many leads as you need starting at $1/1k

Start building your list now →