If you build lead lists in Apollo and clay or any datasource DIRECTLY then you are living in 2017.
Because if you build list whilst using keywords and industries then data is not going to be ACCURATE & it will be SUPER SATURATED.
So thats why we scrape COMPANIES first via top datasources mentioned below.
Then add to Apollo or Clay or any other to find work email and contact details.
In this way its super easy process and data is going to be 100% accurate and data is not going to be saturated.
Because when we add Companies Externally from any other data source then Apollo or Clay does not searches its own databased - its finds those people working in those companies
Here is loom on how to find decision makers via Apollo
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Data Samples:
GOOGLE BUSINESS SAMPLE -
Google Docs
AUTO REPAIR -SCRAPEAMAX - SAMPLE - GOOGLE MAPS BUSINESS
BUILT-WITH SAMPLE -
Google Docs
SCRAPEAMAX BY LEADAMAX - BUILTWITH - GIVE BUTTER
STORE LEADS -
Google Docs
SCRAPEAMAX BY LEADMAX - STORELEADS - USA - SHOPFIY - COMPUTERS
Clutch-
Google Docs
SEO FIRMS - CLUTCH -ONLY 100
Latka-
Google Docs
SCRAPEAMAX - GETLATKA - ONLY FIRST FIRST PAGE SAMPLE
Good Firms -
Google Docs
SCRAPEAMAX - GOOD FIRMS SAMPLE - ONLY 500
www.scrapeamax.com
Scrapeamax || Unlimited Lead Lists
Scrape Unlimited Lead Lists From Top Data Sources For Less Than YOur Coffee Budget.
ALL UNLIMITED DATA SOURCES EXPLAINED
✅ 1. Google My Business (GMB)
Database Size: ~173 million business listings across 249 countries Purpose: GMB (now Google Business Profile) helps businesses manage how they appear on Google Search and Maps, including location, hours, and customer reviews. Great for local lead scraping by category + geo.
✅ 2. BuiltWith
Database Size: 673+ million websites tracked Purpose: Provides tech stack intel for any website—ideal for competitor analysis, SaaS targeting, and tech-based segmentation (e.g., Shopify stores using Klaviyo + Recharge).
✅ 3. Latka
Database Size: 30,000+ SaaS companies profiled Purpose: Curated SaaS database sourced from 3,000+ CEO interviews—includes revenue, MRR, churn, funding, and founder info. Great for investor-style outreach or SaaS partnerships.
✅ 4. Agency Vista
Database Size: 48,000+ marketing agencies in 230 countries Purpose: Verified database of digital marketing agencies. Useful for scraping agencies based on services (SEO, PPC, Social Media) and targeting them with white-label offers or partnerships.
✅ 5. Clutch
Database Size: Millions of service provider profiles Purpose: B2B marketplace with verified reviews. Ideal for scraping IT, design, dev, and consulting firms, filtered by service type, budget, and review count.
✅ 6. Store Leads
Database Size: ~13.7 million active e-commerce stores + ~597K password-protected stores Purpose: Built for eCom prospecting. Shows platform (Shopify, WooCommerce), installed apps, traffic, and even estimated sales.
✅ 7. GoodFirms
Database Size: 110,000+ companies + 40,000+ verified reviews Purpose: B2B review and listing platform for software companies and service providers. Great for scraping SaaS, agencies, and IT firms with legit reviews.
✅ 8. Crunchbase
Database Size: 75M+ professionals and 1.5M+ companies Purpose: Startup + VC intel hub. Shows funding rounds, acquisitions, founders, and traction metrics. Used to filter funded startups, fast-growing tech, and decision-makers.
✅ 9. Yellow Pages
Database Size: Tens of millions of local businesses globally Purpose: Long-standing directory of local businesses. Ideal for scraping small businesses by service niche + geo. Best for targeting local contractors, clinics, restaurants, and more.
✅ 10. Better Business Bureau (BBB)
Database Size: 6.3M+ businesses in the US and Canada Purpose: Verified and accredited businesses with trust ratings and complaint history. Great source for finding reputable businesses to target in North America.
✅ 11. Trustpilot
Database Size: 893,000+ businesses with 213M+ reviews Purpose: Review platform with sentiment insights. Use it to scrape businesses with high positive ratings, identify high-converting offers, and qualify targets by reputation.