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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:

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

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:

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