Google Maps Business Contact Scraper MCP

Scrape business contact information from Google Maps — names, addresses, phone numbers, websites, ratings, and reviews. Built as an Apify MCP (Model Context Protocol) standby actor for AI agents and LLM integrations.

Apify Store Listing | Actor Detail

What does this actor do?

Extracts business contact data from Google Maps using a headless browser. Search for businesses by query (e.g., "restaurants in Manhattan" or "plumbers near Times Square") and get back structured contact information including phone numbers, websites, ratings, and review counts.

The actor runs as an MCP standby actor — it stays idle until called via the MCP JSON-RPC protocol, then returns results directly. It's also usable as a standard batch Apify actor with JSON input.

Why use this actor?

• Lead generation — Build prospect lists by category and location
• B2B sales — Find decision-maker contacts for companies in a territory
• Market research — Map competitor locations and contact details
• Business discovery — Find all businesses of a given type in a neighborhood
• Real estate research — Map all businesses at a given address or zip code

Tools

Tool	Price	Description
search_businesses	$0.03	Search Google Maps by query, returns name/address/rating/placeId
get_business_details	$0.05	Get phone and website for a specific placeId
search_businesses_with_emails	$0.08	Search + enrich each result with phone and website

How to use

MCP Protocol (AI agents)

Send a JSON-RPC POST to /mcp with:

{
  "method": "tools/call",
  "params": {
    "name": "search_businesses",
    "arguments": {
      "search_query": "restaurants in Manhattan",
      "max_results": 10
    }
  }
}

Apify Batch Mode

apify call red.cars/google-maps-business-contact-mcp \
  --input '{"tool": "search_businesses", "params": {"search_query": "dentists in Brooklyn", "max_results": 5}}'

JavaScript / TypeScript

const { handleRequest } = await import('./dist/main.js');

const result = await handleRequest({
  toolName: 'search_businesses',
  arguments: { search_query: 'coffee shops in SoHo', max_results: 10 }
});
console.log(JSON.parse(result.content[0].text));

Input

Field	Type	Required	Description
tool	string	Yes	One of: search_businesses, get_business_details, search_businesses_with_emails
search_query	string	For search tools	Google Maps search query (e.g., "restaurants in NYC")
place_id	string	For details tool	Google Maps place ID from a search result
max_results	integer	No	Max results to return (1–50, default 10)

Batch input example

{
  "tool": "search_businesses_with_emails",
  "params": {
    "search_query": "plumbers near Times Square",
    "max_results": 20
  }
}

Output

Dataset items with the following fields:

Field	Type	Description
name	string	Business name
address	string	Full address
phone	string | null	Phone number
website	string | null	Website URL
rating	number | null	Star rating (e.g., 4.5)
reviews	integer | null	Number of reviews
category	string | null	Business category
placeId	string | null	Google Maps place ID (use with get_business_details)

Output example

{
  "query": "pizza in Brooklyn",
  "count": 2,
  "businesses": [
    {
      "name": "Joe's Pizza",
      "address": "123 Smith St, Brooklyn, NY 11201",
      "phone": "+1-718-555-0100",
      "website": "https://joespizza.com",
      "rating": 4.7,
      "reviews": 892,
      "category": "Pizza delivery",
      "placeId": "ChIJ8fz2XcJZwok..."
    }
  ]
}

Cost estimation

Pricing is per tool call, not per result:

Tool	Price	Notes
search_businesses	$0.03	Search-only, returns name/address/rating/placeId
get_business_details	$0.05	Per placeId — phone and website
search_businesses_with_emails	$0.08	Search + sequential enrichment

Actual platform cost per 1,000 results: $9.48–$147.32 (median ~$22)

• Wide range reflects max_results (1–50) and enrichment depth
• search_businesses only runs: ~$3–$5 per 1,000 results
• search_businesses_with_emails with high max_results: up to $147/1K
• Sequential enrichment limits p99 cost — results are processed one at a time, so timeout doesn't mean wasted spend

Tip: Start with search_businesses (cheapest) to see data quality, then selectively enrich specific placeIds with get_business_details for $0.05 each.

Tips and advanced options

• Two-step enrichment — Run search_businesses first ($0.03), then selectively call get_business_details ($0.05) per placeId. This gives granular control and lower per-result cost than search_businesses_with_emails when you only need a subset enriched.
• Sequential processing — get_business_details runs one page visit at a time, so timeout doesn't waste a full batch — you get partial results on timeouts.
• Limit max_results — Use max_results: 5 for quick tests before scaling up to 50.
• Rate limiting — Google Maps may throttle rapid requests; add delays between calls in high-volume scenarios.
• Proxy rotation — Apify accounts include built-in proxy rotation for anti-bot protection.

FAQ

Is this legal to use? This scraper is for scraping publicly available business contact information from Google Maps. Ensure your use case complies with Google's Terms of Service and applicable laws. Do not use for spam, harassment, or unsolicited marketing.

Why is the address sometimes empty? Google Maps doesn't always return a full street address in search results. Use the placeId with get_business_details for more complete data.

Why does enrichment cost more? search_businesses_with_emails requires an additional page visit per business to extract phone and website. Use get_business_details individually for precise per-result cost control.

What's the per-result cost? Platform-reported cost per 1,000 results averages ~$22.18 (range $9.48–$147.32). Search-only runs average $3–$5/1K. High-end runs hit enrichment on all results with max_results=50.

How do I get a placeId? Run search_businesses first — each result includes a placeId field.

Support

For issues or feature requests: Apify Issues

For custom integrations: contact via Apify Store profile