Scrapeamax Data Samples
MUST READ ⚠️

  • 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.
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