🎯 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. --- ## 🔥 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. --- ## 💡 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 --- ## 🚦 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 --- ## 📊 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). --- ## 🔄 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) --- ## 📌 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. --- ## 🛠 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) --- ## 🛠 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 } --- ## 📤 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" } --- ## 💰 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. --- ## ⚠️ 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. --- ## 🛟 Support - Email: contactpipelinelabs@gmail.com - Response Time: Under 24 hours - Bug Reports: Use the Apify "Issues" tab --- ## 🚀 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 →