Google Maps MCP Scraper — Places, Reviews, Hours & Photos for AI Agents

Scrape Google Maps for places, business hours, reviews, photos, ratings, and competitor data. Returns structured JSON with full location metadata — every field is machine-readable so AI agents and LLMs can search, compare, and analyze locations programmatically.

Zero MCP Google Maps actors exist on the market. 25K+ users run non-MCP Maps scrapers — but AI agents need structured tool access. This is the first Maps scraper designed from the ground up as an MCP tool.

Killer Features for AI Agents

• Business hours — Day-by-day operating hours exposed as structured JSON objects, ready for scheduling logic
• Reviews & ratings — Full review text snippets and star ratings for sentiment analysis and quality filtering
• Photo URLs — Direct image links for multimodal agents that process visual data
• Competitor density analysis — Search any keyword in any location to map competitive landscapes
• Geo-coordinates — Precise lat/lng for distance calculations, clustering, and map visualizations

Features

• Lightning fast — 100 places scraped in ~5 seconds via pure API extraction
• Rich place metadata — names, addresses, phones, websites, categories, price ranges, and descriptions
• Review extraction — star ratings, total review counts, and review text snippets for each place
• Business hours — day-by-day operating hours (e.g., "Monday": "9AM-9PM") and current open/closed status
• Photo URLs — thumbnail and gallery photo links for visual data and multimodal processing
• Rating filtering — only return places above a minimum star rating threshold
• Multi-query support — search multiple keywords or locations in a single run
• Location biasing — optional GPS coordinates to prioritize results near a specific point
• 12-country localization — country and language filtering for global searches
• Automatic pagination — fetches up to 200 results per query with intelligent page handling
• Structured JSON output — clean, well-formatted data ready for AI pipelines, databases, or analysis

Use Cases

• AI agent enrichment — give LLMs real-time access to business data, reviews, and location info for trip planning, local searches, and recommendations
• Competitor analysis — map every competitor in a market with ratings, reviews, and location data
• Location intelligence — analyze business density, category distribution, and rating patterns by geography
• Lead generation — find businesses by type and location with phone numbers and websites for outreach
• Market research — assess price ranges, review sentiment, and competitive positioning in any market
• Review monitoring — track review counts and sentiment across locations over time
• Real estate analysis — evaluate neighborhood amenities — restaurants, shops, services — for property assessments

Input

Field	Type	Default	Description
searchQueries	string[]	["restaurants in Austin TX"]	Keywords with location to search (e.g., "plumbers in Chicago")
locationCoords	string	""	Optional GPS coordinates to bias results — format: "lat,lng"
maxResults	integer	20	Max places per query (1–200)
countryCode	string	"us"	Two-letter country code for localization
languageCode	string	"en"	Language code for results
includeReviews	boolean	true	Include review text snippets in output
includePhotos	boolean	true	Include photo and thumbnail URLs
minRating	number	0	Only return places rated ≥ this value (0 = no filter)
maxRequestRetries	integer	3	Max API retry attempts on failure

Output

Each place record includes 21 fields of structured metadata:

Field	Type	Description
placeId	string	Google Maps unique place identifier
title	string	Business or place name
address	string	Full street address
phoneNumber	string|null	Business phone number
website	string|null	Business website URL
rating	number|null	Google Maps star rating (1.0–5.0)
reviewsCount	integer|null	Total number of reviews
reviews	string[]	Review text snippets
latitude	number|null	Geographic latitude
longitude	number|null	Geographic longitude
category	string|null	Primary business category
type	string|null	Google Maps place type
priceRange	string|null	Price level ($ to $$$$)
openingHours	object|null	Day-by-day hours (e.g., {"Monday":"9AM-9PM"})
openingState	string|null	Current open/closed status
description	string|null	Place description snippet
thumbnailUrl	string|null	Primary photo thumbnail URL
photos	string[]	Additional photo URLs
cid	string|null	Google Maps CID number
googleUrl	string|null	Direct Google Maps link
scrapedAt	string	ISO 8601 timestamp
searchQuery	string	Original search query

Example Usage

Restaurant Discovery

{
    "searchQueries": ["italian restaurants in Brooklyn NY", "pizza places in Manhattan"],
    "maxResults": 50,
    "minRating": 4.0,
    "includeReviews": true
}

Competitor Research

{
    "searchQueries": ["coffee shops in Seattle WA"],
    "maxResults": 200,
    "locationCoords": "47.6062,-122.3321",
    "includeReviews": false,
    "includePhotos": true
}

Lead Generation

{
    "searchQueries": ["dentists in Phoenix AZ", "plumbers in Denver CO", "electricians in Portland OR"],
    "maxResults": 30,
    "minRating": 3.5,
    "includeReviews": false,
    "includePhotos": false
}

Quick Lookup

{
    "searchQueries": ["hardware stores near me"],
    "maxResults": 10,
    "locationCoords": "40.7128,-74.0060"
}

Pricing

This actor uses a pay-per-result pricing model at $0.008 per place scraped.

Places	Cost
10 places	$0.10
20 places	$0.20
100 places	$1
200 places	$2

Fast, reliable location data extraction. No API keys, no setup, no infrastructure required.

Example Output

{
    "placeId": "ChIJN1t_tDeuEmsRUsoyG83frY4",
    "title": "Joe's Coffee",
    "address": "242 W 2nd St, Austin, TX 78701",
    "phoneNumber": "(512) 555-0199",
    "website": "https://www.joescoffee.com",
    "rating": 4.7,
    "reviewsCount": 326,
    "reviews": [
        "Best latte in Austin! The house-roasted beans are incredible.",
        "Cozy atmosphere, fast WiFi, and friendly baristas. Perfect workspace."
    ],
    "latitude": 30.2665,
    "longitude": -97.7451,
    "category": "Coffee Shop",
    "type": "cafe",
    "priceRange": "$$",
    "openingHours": {
        "Monday": "7AM-8PM",
        "Tuesday": "7AM-8PM",
        "Wednesday": "7AM-8PM",
        "Thursday": "7AM-9PM",
        "Friday": "7AM-9PM",
        "Saturday": "8AM-9PM",
        "Sunday": "8AM-6PM"
    },
    "openingState": "Open",
    "description": "House-roasted coffee and fresh pastries in a cozy downtown space with free WiFi.",
    "thumbnailUrl": "https://lh5.googleusercontent.com/p/thumbnail-url",
    "photos": [],
    "cid": "12345678901234567890",
    "googleUrl": "https://www.google.com/maps/place/?q=place_id:ChIJN1t_tDeuEmsRUsoyG83frY4",
    "scrapedAt": "2026-05-04T12:00:00.000Z",
    "searchQuery": "coffee shops in Austin TX"
}

Why This Google Maps Scraper?

• No browser or proxy needed — pure API-based extraction is faster, cheaper, and more reliable than headless browsers
• Zero setup — works out of the box with no API keys, no configuration, no infrastructure
• Built for AI agents — every field is typed and machine-readable for direct LLM consumption
• MCP-native — designed as an MCP tool from day one, not retrofitted
• Consistent structured data — every record follows the same 21-field schema for reliable processing
• Global coverage — 12 countries, 9 languages, location biasing for proximity searches