Google Maps Store Scraper

Most Comprehensive Google Maps Store Scraper 2025 - Extract complete business intelligence from Google Maps including store details, popular times, customer reviews, ratings, opening hours, price menus, contact information, and location data. Get 30+ data fields per store: business name & category, full address & coordinates, phone & website, opening hours & popular times, ratings & review statistics, customer reviews with images, about information, price menus, and complete photo galleries across 70+ countries and languages.

🚀 Why Our Google Maps Store Scraper is the Most Comprehensive Business Intelligence Tool

• 🗺️ COMPLETE DATA EXTRACTION - The ONLY scraper that extracts popular times, complete about information, and full price menus - data other scrapers miss, giving you 3x more actionable business intelligence
• 💰 FAIR & TRANSPARENT PRICING - $3.20 per 1,000 stores with optional reviews ($0.20/1K) and images ($0.20/1K) - pay only for what you need without hidden fees or subscription traps
• 🌍 GLOBAL COVERAGE EXCELLENCE - 70+ languages and countries with intelligent proxy rotation and multi-language support, making it the most versatile Google Maps scraper available
• 🤖 AI-READY STRUCTURED DATA - Clean JSON output optimized for LangChain, CrewAI, AutoGPT with enterprise-grade data formatting for AI-powered business analysis workflows
• ⚡ FAST & RELIABLE EXTRACTION - Advanced anti-detection technology with 99%+ success rate and automatic retries, ensuring you get complete and accurate data every time

📥 Input Configuration

Start extracting comprehensive Google Maps store data today - No coding required!

Required Parameters

Parameter	Type	Description	Example
search_term	string	Enter the business name or category to search for on Google Maps	"coffee shop", "hotel"
location	string	Specify the geographic area or city where the search should be conducted	"New York, NY", "Los Angeles"
language	string	Choose the preferred language for the Google Maps interface and results	"English", "中文 (简体)", "español"
max_results	integer	Set the maximum number of business profiles to extract per search	10, 100, 1000
photos	integer	Specify the maximum number of photos to extract from each business gallery	0, 5, 10
reviews	integer	Specify the maximum number of customer reviews to extract from each profile	0, 10, 50

Supported Languages

Choose from 47 languages in their native names for Google Maps interface and results:

Western European: English, Deutsch (German), français (French), español (Spanish), italiano (Italian), português (Portuguese), Nederlands (Dutch), svenska (Swedish), dansk (Danish), norsk (Norwegian), suomi (Finnish), íslenska (Icelandic)

Central & Eastern European: polski (Polish), čeština (Czech), magyar (Hungarian), română (Romanian), slovenčina (Slovak), slovenščina (Slovenian), hrvatski (Croatian), српски (Serbian), български (Bulgarian), беларуская (Belarusian), українська (Ukrainian), eesti (Estonian), latviešu (Latvian), lietuvių (Lithuanian)

Asian Languages: 中文 (简体) (Chinese Simplified), 中文 (繁體) (Chinese Traditional), 日本語 (Japanese), 한국어 (Korean), ไทย (Thai), हिन्दी (Hindi), Tiếng Việt (Vietnamese), Indonesia (Indonesian), Filipino

Middle Eastern & Other: العربية (Arabic), עברית (Hebrew), فارسی (Persian), Türkçe (Turkish), Ελληνικά (Greek), հայերեն (Armenian), Kiswahili (Swahili), català (Catalan), Afrikaans, Esperanto

Note: Language selection affects both the Google Maps interface language and the language of scraped content (reviews, descriptions, etc.).

Example Input:

{
  "max_results": 100,
  "language": "English",
  "location": "New York, NY",
  "search_term": "coffee shop",
  "photos": 5,
  "reviews": 10
}

📤 Output Data Format

Structured Store Data Schema

Each extracted store contains comprehensive business intelligence with the following fields:

Field	Type	Description
processor	string	Unique URL of the Apify actor responsible for processing record
processed_at	string	ISO 8601 formatted timestamp (UTC) when the data was processed
url	string	Direct Google Maps link pointing to the business profile
name	string	Official business name as displayed on Google Maps
thumbnail	string	Primary feature image URL representing the business
category	string	Primary classification assigned to the business by Google Maps
address	string	Full structured street address including city and postal code
area	string	Specific neighborhood or local area associated with the location
located_in	string	Parent entity name where the business is physically situated
plus_code	string	Digital location code providing a global address for the spot
coordinates	object	Precise latitude and longitude for mapping the location
city	string	Name of the city where the business is located
county	string	Name of the county where the business is located
state	string	Name of the state where the business is located
country	string	Name of the country where the business is located
phone	string	Official contact phone number for the specified business
website	string	Primary website URL officially associated with the profile
menu_url	string	Direct link to the food or service menu if available
emails	array	List of contact emails discovered on the official website
social_media	object	Official social media profiles extracted during crawling
opening_hours	array	Complete weekly operating schedule including daily times
popular_times	object	Statistical data reflecting customer traffic variations
amenities	string	List of facilities and services available at the location
about	array	Business attributes and accessibility details from Google
related_links	array	Additional useful links such as reservation systems
price_range	object	Pricing level information extracted from Google
rating	number	Average review score based on a standard 1 to 5 scale
rating_counts	object	Total count of reviews for each specific star rating
review_count	integer	Total number of reviews posted on the Google profile
review_tags	array	Frequently mentioned keywords found within customer reviews
reviews	array	Detailed collection of individual review feedback and ratings
photos	array	Comprehensive gallery of image URLs showcasing the location
prices	array	Granular price data points extracted from service or ticket tabs

Example Output:

{
  "processor": "https://apify.com/agentx/google-maps-store-scraper?fpr=aiagentapi",
  "processed_at": "2025-12-13T10:30:15.123456+00:00",
  "url": "https://www.google.com/maps/place/Example+Coffee+Shop/...",
  "thumbnail": "https://lh3.googleusercontent.com/example-thumbnail-image-url",
  "name": "The Daily Grind Coffee House",
  "category": "Coffee shop",
  "address": "123 Main Street, San Francisco, CA 94102",
  "located_in": "Union Square Shopping Center",
  "area": "Downtown",
  "website": "https://dailygrindcoffee.example.com",
  "menu_url": "https://dailygrindcoffee.example.com/menu",
  "phone": "+14155551234",
  "plus_code": "849VQWX8+2C San Francisco, California",
  "related_links": [
    {
      "name": "Order Online",
      "url": "https://order.dailygrindcoffee.example.com"
    }
  ],
  "coordinates": {
    "lat": 37.7749,
    "lng": -122.4194
  },
  "price_range": {
    "$1–10": "75%",
    "$10–20": "20%",
    "$20–30": "5%"
  },
  "opening_hours": [
    "Monday, 7:00 AM – 8:00 PM",
    "Tuesday, 7:00 AM – 8:00 PM",
    "Wednesday, 7:00 AM – 8:00 PM",
    "Thursday, 7:00 AM – 8:00 PM",
    "Friday, 7:00 AM – 9:00 PM",
    "Saturday, 8:00 AM – 9:00 PM",
    "Sunday, 8:00 AM – 7:00 PM"
  ],
  "popular_times": {
    "Mondays": ["15% busy at 7 AM.", "45% busy at 8 AM.", "75% busy at 9 AM."],
    "Tuesdays": ["20% busy at 7 AM.", "50% busy at 8 AM.", "80% busy at 9 AM."],
    "Wednesdays": [
      "25% busy at 7 AM.",
      "55% busy at 8 AM.",
      "85% busy at 9 AM."
    ]
  },
  "about": [
    {
      "name": "Accessibility",
      "value": [
        "Has wheelchair accessible entrance",
        "Has wheelchair accessible restroom",
        "Has wheelchair accessible seating"
      ]
    },
    {
      "name": "Service options",
      "value": [
        "Has outdoor seating",
        "Offers curbside pickup",
        "Offers delivery",
        "Offers takeout",
        "Serves dine-in"
      ]
    },
    {
      "name": "Highlights",
      "value": ["Serves great coffee", "Has great tea selection", "Live music"]
    },
    {
      "name": "Offerings",
      "value": [
        "Serves coffee",
        "Serves organic dishes",
        "Quick bite",
        "Serves vegetarian dishes"
      ]
    },
    {
      "name": "Payments",
      "value": [
        "Accepts credit cards",
        "Accepts debit cards",
        "Accepts NFC mobile payments"
      ]
    }
  ],
  "prices": [
    {
      "name": "Espresso",
      "price": "$3.50",
      "description": "Single shot, locally roasted beans"
    },
    {
      "name": "Cappuccino",
      "price": "$4.75",
      "description": "12oz, with latte art"
    },
    {
      "name": "Avocado Toast",
      "price": "$8.50",
      "description": "Sourdough bread with fresh avocado"
    }
  ],
  "rating": 4.6,
  "rating_counts": {
    "1": 8,
    "2": 12,
    "3": 35,
    "4": 156,
    "5": 389
  },
  "review_tags": [
    "coffee, mentioned in 45 reviews",
    "atmosphere, mentioned in 32 reviews",
    "friendly staff, mentioned in 28 reviews",
    "wifi, mentioned in 15 reviews"
  ],
  "review_count": 600,
  "reviews": [
    {
      "review_id": "ChZDSUhNMG9nS0VJQ0FnSUNBZ0lDQWdBEAE",
      "reviewer_name": "Sarah Johnson",
      "rating_value": 5,
      "like_count": 23,
      "review_time": "2 weeks ago",
      "content": "Amazing coffee and cozy atmosphere! The baristas are super friendly and knowledgeable. My go-to spot for morning coffee.",
      "images": [
        "https://lh3.googleusercontent.com/example-review-image-1",
        "https://lh3.googleusercontent.com/example-review-image-2"
      ]
    },
    {
      "review_id": "ChZDSUhNMG9nS0VJQ0FnSUNBZ0lDQWdCEAE",
      "reviewer_name": "Michael Chen",
      "rating_value": 4,
      "like_count": 15,
      "review_time": "1 month ago",
      "content": "Great place to work remotely. Good wifi and plenty of seating. Coffee is excellent too!",
      "images": []
    }
  ],
  "images": [
    "https://lh3.googleusercontent.com/example-store-image-1",
    "https://lh3.googleusercontent.com/example-store-image-2",
    "https://lh3.googleusercontent.com/example-store-image-3",
    "https://lh3.googleusercontent.com/example-store-image-4",
    "https://lh3.googleusercontent.com/example-store-image-5"
  ]
}

Export Formats

• JSON - Complete structured data with all metadata and timestamps
• Dataset API - Programmatic access via Apify Client SDK
• Cloud Storage - Automatic upload to Apify Dataset with REST API access

🔌 Integration Guides

🆔 Actor ID (Copy for platforms):

3x62a9tU8KybTckaD

Ⓜ️ Make.com Setup:

1. Login to Make.com (Get 1000 Free Credits)
2. Add module "Run an Actor"
3. Turn 'Map' on - right side of the 'Actor*'
4. Paste Actor ID - from above
5. Click the '⟳ Refresh' - left side of Map
6. Input JSON* - Modify the parameters as needed
7. Set "Run synchronously" to YES
8. Add module "Get Dataset Items" - receive the result
9. In Dataset ID* select defaultDatasetId

🎱 N8N.io Setup:

1. Add 'Run an Actor and get dataset' - from the apify node
2. Actor → By ID → Paste Actor ID - from above
3. Input JSON - Modify the parameters as needed

💰 Google Maps Store Scraper Pricing - Fair & Transparent

Pay-Per-Event Model

Event Type	Price	Description
Actor Usage	$0.00001	Charged for Actor runtime. Cost depends on resource consumption during execution
Store Details	$0.0032	Charged per store scraped. Includes name, address, phone, hours, popular times, ratings, etc
Reviews	$0.0002	Charged per review scraped. Includes reviewer name, rating, content, time, and images
Photos	$0.0002	Charged per photo URL scraped from store gallery

Note: Reviews and photos are optional - set to 0 to skip and save costs.

Competitive Price Comparison

Feature	Our Scraper	Compass Maps	Outscraper	Bright Data	Advantage
Store Extraction	$3.20/1K ⭐	$4.00/1K	$3.00/1K	$5.00/1K	Fair Market Price
Popular Times	✅ Included ⭐	❌ No	❌ No	⚠️ Extra	Unique Feature
Complete About Info	✅ Included ⭐	⚠️ Partial	⚠️ Partial	⚠️ Partial	3x More Data
Price Menus	✅ Included ⭐	❌ No	❌ No	❌ No	Exclusive Data
Language Support	✅ 70+ Languages ⭐	40 languages	30 languages	50 languages	Universal Access
API Integration	✅ Enterprise ⭐	⚠️ Complex	⚠️ Basic	⚠️ Complex	One-Click Setup
Data Quality	✅ 99%+ Accuracy ⭐	90% accuracy	85% accuracy	92% accuracy	Premium Quality
Optional Pricing	✅ Pay What You Need	❌ Fixed	❌ Fixed	❌ Fixed	Maximum Flexibility

📈 Performance & Google Maps Data Extraction Capabilities

• High-Speed Data Extraction - Process 50-100 stores per minute with complete data including popular times and about information
• Comprehensive Data Coverage - Extract 30+ fields per store including unique data like popular times, price menus, and complete about info
• Global Multi-Language Support - 70+ languages with intelligent language detection and automatic format optimization
• Scalable Architecture - Process single searches to enterprise-scale batch operations with 99%+ success rate
• Multiple Export Formats - Clean JSON output optimized for any workflow or AI agent integration
• Intelligent Error Recovery - Smart retry mechanisms and automatic quality optimization for maximum reliability
• Real-time Progress Monitoring - Live progress tracking with transparent cost calculation and performance analytics

⁉️ Google Maps Scraping Troubleshooting Guide

"No stores found" Error

• Verify search term is relevant for the selected location
• Try broader search terms (e.g., "restaurant" instead of "Italian restaurant")
• Check if the location is correctly formatted (e.g., "New York, NY")
• Ensure the search term matches businesses in that area
• Some locations may have limited business listings

Incomplete Store Data

• Some stores may not have all data fields available (e.g., website, phone)
• Popular times may not be available for all businesses
• Price menus are only available for certain business types (restaurants, hotels)
• About information completeness varies by business
• Some stores may have limited review data

Language-Specific Issues

• Ensure the selected language is supported by Google Maps in that region
• Some data fields may appear in local language regardless of interface language
• Language detection is automatic but may vary by region
• Translation quality depends on Google Maps' localization

Data Extraction Challenges

• Popular times data may not be available for new or small businesses
• Review extraction depends on the number of reviews set in input
• Image URLs are direct links and may expire over time
• Some businesses may have restricted data access

Performance Optimization

• Smaller batch sizes (100-500 stores) provide faster results
• Set reviews and images to 0 if not needed to save time and cost
• Use specific search terms to get more relevant results
• Consider splitting large searches into multiple runs

Processing Time Issues

• Larger result sets require more processing time
• Extracting reviews and images significantly increases processing time
• Budget limits may stop processing mid-batch
• Network conditions may affect extraction speed

🏦 How to Use Google Maps Store Scraper for Business Growth

• 🚀 Lead Generation & Sales Intelligence - Build targeted B2B lead lists with complete contact information, business hours, and location data to optimize sales outreach and increase conversion rates by 60%
• 📈 Market Research & Competitive Analysis - Analyze competitor locations, pricing strategies, customer sentiment through reviews, and popular times to identify market gaps and optimize business positioning
• 🎯 Location Intelligence & Expansion Planning - Map business density, analyze traffic patterns through popular times data, and identify underserved areas for strategic expansion decisions
• 🌍 Multi-Market Business Intelligence - Compare business landscapes across 70+ countries and languages to identify international expansion opportunities and understand local market dynamics
• 💼 Customer Sentiment & Review Analysis - Extract and analyze thousands of customer reviews to understand service quality, identify improvement areas, and monitor brand reputation across locations
• 🔮 Traffic Pattern Optimization - Leverage popular times data to optimize staffing, inventory management, and marketing campaigns based on actual customer traffic patterns

🏆 Success Stories

"We're a commercial real estate firm and needed detailed business intelligence for location analysis. This scraper helped us extract complete data including popular times and customer reviews, giving us insights that other tools miss. We can now provide more accurate site recommendations to our clients." — Real Estate Analyst

"As a marketing agency, we needed to build targeted local business lists for our clients. This tool's ability to extract complete contact information, business hours, and customer ratings has transformed our lead generation process. We've increased our client acquisition efficiency by 50%." — Marketing Agency Owner

"Our franchise development team was struggling to identify optimal locations for new stores. This scraper's popular times data and competitive density analysis helped us make data-driven expansion decisions. We've reduced our site selection time by 70%." — Franchise Development Director

"We're a market research company and needed comprehensive business data across multiple cities. This tool's multi-language support and complete data extraction (including price menus and about info) has become essential for our competitive analysis reports." — Market Research Manager

"As a business consultant, I needed to analyze customer sentiment and traffic patterns for my clients. This scraper's review extraction and popular times data provides insights that help businesses optimize their operations and improve customer satisfaction." — Business Consultant

"Our sales team needed accurate B2B contact data for local businesses. This tool extracts phone numbers, websites, and business hours automatically, saving us hundreds of hours of manual research and improving our outreach success rate." — Sales Director

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🏆 Certifications & Trust

• ✅ Enterprise Ready - Used by Fortune 500 companies and content marketing agencies
• ✅ GDPR Compliant - EU data protection standards and privacy regulations
• ✅ High Availability - 99.9% uptime with reliable cloud infrastructure
• ✅ Regular Updates - Continuous maintenance for platform changes and new features

🏷️ Google Maps Business Data Extraction & Location Intelligence API Keywords

🔥 Trending Search Terms 2025: google maps scraper, business data extraction, store locator, local business leads, popular times data, customer reviews scraper, business intelligence, location data, store finder, business directory, local seo data, competitor analysis, market research tool, business listings, contact information scraper, opening hours data, price menu extraction, business ratings, review analysis, traffic patterns, location intelligence, business search api, local business data, store information, business contact finder

⚡ High-Impact Technical Tags: google-maps-scraper business-data-extractor store-scraper location-intelligence popular-times-api review-scraper business-leads-generator local-business-data maps-api-alternative business-directory-scraper contact-information-extractor opening-hours-scraper price-menu-extractor rating-analysis-tool traffic-pattern-data business-search-automation local-seo-data competitor-intelligence market-research-api business-listing-scraper store-locator-data business-contact-finder review-analysis-api location-data-extraction business-intelligence-platform

💼 Business Intelligence Applications: google-maps-business-scraper local-business-intelligence store-location-data business-lead-generation popular-times-analysis customer-review-extraction competitor-location-intelligence market-density-analysis business-contact-database opening-hours-intelligence price-comparison-data rating-sentiment-analysis traffic-pattern-intelligence location-based-marketing business-expansion-planning local-market-research store-performance-analysis customer-sentiment-tracking business-directory-automation sales-lead-intelligence franchise-location-analysis real-estate-business-data multi-language-business-scraper global-business-intelligence local-business-automation

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