Google Maps Lead Intelligence Engine

Go beyond basic Google Maps scraping. This Actor discovers local businesses via Google Maps, then deeply analyzes each one — extracting emails, detecting tech stack, finding social profiles, estimating business size, scoring leads 0-100, and identifying service opportunities.

Built for agencies, SaaS sales teams, and freelancers who need qualified leads, not raw listings.

What makes this different?

There are 10+ Google Maps scrapers out there. They all return the same thing: name, address, phone, rating. That is NOT what sales teams need.

This Actor does what a human researcher would do — but in minutes, not hours:

Feature	Basic Google Maps Scraper	This Actor
Business name, address, phone	✅	✅
Google rating & reviews	✅	✅
Contact email extraction	❌	✅ (multi-page deep scan)
Tech stack detection	❌	✅ (50+ technologies)
Social media profiles	❌	✅ (8 platforms)
Business size estimation	❌	✅
Lead scoring (0-100)	❌	✅
Service opportunity detection	❌	✅
CMS/platform detection	❌	✅
SSL & mobile optimization check	❌	✅

Who is this for?

• Digital marketing agencies — Find businesses that need websites, SEO, or ad management
• SaaS sales teams — Identify businesses that could use your software
• Freelancers — Find clients who need web design, email marketing, or social media help
• Local service providers — Insurance, real estate, and financial service prospecting

How it works

1. Discovery — Searches Google Maps for your keywords (e.g., "dentists in Chicago")
2. Website Analysis — Visits each business website to extract emails, tech stack, and social profiles
3. Intelligence — Scores each lead 0-100 and detects service gaps you can pitch
4. Output — Clean, structured data ready for your CRM or outreach tool

Input

Parameter	Description	Default
searchQueries	Google Maps search queries (e.g., "restaurants in Miami FL")	Required
maxResultsPerQuery	Max businesses per search query	20
enrichWebsite	Visit websites for deep analysis	true
minRating	Minimum Google rating (0-5)	0
minReviews	Minimum review count	5
minLeadScore	Minimum lead score (0-100)	0
requireEmail	Only return leads with email	false
requireWebsite	Only return leads with website	false
detectOpportunities	Detect missing services	true

Output

Each lead in the dataset includes:

{
    "businessName": "Blue Bottle Coffee",
    "category": "Coffee shop",
    "address": "315 Linden St, San Francisco, CA 94102",
    "city": "San Francisco",
    "state": "CA",
    "phone": "(415) 555-0123",
    "website": "https://bluebottlecoffee.com",
    "googleMapsUrl": "https://www.google.com/maps/place/...",
    "rating": 4.5,
    "reviewCount": 847,
    "email": "hello@bluebottlecoffee.com",
    "leadScore": 82,
    "businessSize": "Medium (20-50 employees)",
    "techStack": {
        "cms": ["Shopify"],
        "analytics": ["Google Analytics", "Google Tag Manager"],
        "emailMarketing": ["Klaviyo"],
        "liveChat": ["Zendesk"],
        "booking": [],
        "reviews": [],
        "payments": ["Stripe"]
    },
    "socialMedia": {
        "instagram": "https://instagram.com/bluebottlecoffee",
        "facebook": "https://facebook.com/bluebottlecoffee",
        "twitter": "https://twitter.com/bluebottlecoffee"
    },
    "opportunities": [
        {
            "type": "no_review_management",
            "service": "Review Management Platform",
            "pitch": "No review management tool — not leveraging social proof on website",
            "value": "Medium"
        }
    ],
    "opportunityScore": 12,
    "scrapedAt": "2026-03-26T10:00:00.000Z"
}

Dataset Views

The output comes with pre-built views:

• All Leads — Complete list sorted by lead score
• Hot Leads (Score 70+) — Only high-quality leads ready to contact
• Leads With Email — All leads where we found a contact email
• Service Opportunities — Businesses with the most service gaps

Lead Scoring

Every lead gets a 0-100 score based on:

Signal	Points
Has website	+10
Has contact email	+15
Has phone number	+5
Google rating 4.5+	+15
Google rating 4.0+	+10
200+ reviews	+15
50+ reviews	+10
Each social media platform	+3
Each tech tool detected	+2
SSL enabled	+3
Mobile optimized	+5

Tips for best results

1. Be specific with queries — "dentist in Chicago IL" works better than "dentist"
2. Use location names — Include city and state for US searches
3. Start small — Test with 10-20 results first, then scale up
4. Use filters — Set minLeadScore: 50 to skip low-quality leads
5. Use proxies — For 100+ businesses, enable proxy configuration

Pricing

Pay-per-result pricing. You only pay for qualified leads returned.

Example use cases

• Agency pitch list — Search "restaurants in {city}" → filter for businesses without email marketing → pitch your services
• SaaS prospecting — Search "dentist in {city}" → filter for businesses using WordPress → pitch your booking software
• Freelance lead gen — Search "salon in {city}" → find businesses without social media → offer social media management