🗺️ Google Maps Scraper - Advanced Multi-Source Data Extractor

Overview

Google Maps Scraper is a powerful, enterprise-grade tool designed to extract comprehensive business data from Google Maps at scale. Whether you're building business directories, conducting market research, analyzing competitors, or gathering location intelligence, this Google Maps Scraper provides unlimited access to valuable business information with advanced filtering and auto-expansion capabilities.

This Google Maps Scraper uses sophisticated multi-source extraction methods to ensure maximum data reliability and completeness, making it the most robust solution for Google Maps data collection.

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🎯 What Data Can You Extract?

This Google Maps Scraper extracts comprehensive business information from Google Maps, including:

Core Business Information

• Business Name - Official name of the establishment
• Category - Primary business category (Restaurant, Hotel, Gym, etc.)
• Rating - Google Maps star rating (1.0 to 5.0)
• Review Count - Total number of customer reviews
• Price Level - Price range indicators ($, $$, $$$, $$$$)
• Business Status - Open/Closed status with current operating state

Contact & Location Details

• Full Address - Complete street address with postal information
• Phone Number - Business contact number
• Website URL - Official business website
• Website Domain - Extracted domain name for easy categorization
• GPS Coordinates - Precise latitude and longitude
• Google Place ID - Unique Google Maps identifier
• Google Maps URL - Direct link to the business listing

Operating Hours & Schedule

• Weekly Hours - Complete operating schedule (Monday-Sunday)
• Daily Schedule - Individual day opening/closing times
• Hours Type - 24/7, Weekly, or Daily schedule format
• Opening Time - When business opens today
• Closing Time - When business closes today
• Total Weekly Hours - Calculated hours per week
• Average Daily Hours - Average operating hours per day

Services & Amenities

• Available Services - Dine-in, Takeout, Delivery, Curbside pickup, Drive-through
• Accessibility - Wheelchair accessible facilities
• Parking - Free parking, Valet parking, Parking lot availability
• Wi-Fi - Free Wi-Fi availability
• Reservations - Booking and reservation options
• Outdoor Seating - Patio, Terrace, Rooftop options
• Pet-Friendly - Dog-friendly establishments
• Kid-Friendly - Family-friendly with kids menu, high chairs

Dining & Food Information (Restaurants)

• Cuisine Types - Italian, Chinese, Japanese, Mexican, Indian, etc.
• Dining Options - Breakfast, Brunch, Lunch, Dinner, Dessert, Coffee
• Dietary Options - Vegetarian, Vegan, Gluten-free, Halal, Kosher, Organic
• Menu URL - Link to online menu
• Reservation URL - Direct booking links (OpenTable, Resy, etc.)

Atmosphere & Ambiance

• Atmosphere Tags - Cozy, Romantic, Casual, Upscale, Trendy, Quiet, Lively, Intimate, Elegant
• Good For - Groups, Kids, Dates, Business meetings, Solo dining
• Business Attributes - Black-owned, Women-owned, Veteran-owned, LGBTQ-friendly, Family-owned

Visual Content

• Photo Count - Total number of photos available
• Primary Image URL - Main business photo
• High-Resolution Image - HD version of primary photo
• Media Gallery - Collection of photos and videos
• Image Count - Total images available
• Video Count - Total videos available

Reviews & Reputation (Detailed Mode)

• Individual Reviews - Customer review text and ratings
• Reviewer Names - Review author names
• Review Dates - When reviews were posted
• Review Ratings - Individual star ratings
• Helpful Counts - Number of people who found review helpful
• Owner Responses - Business replies to reviews
• Local Guide Badges - Verified reviewer status
• Review Photos - Photos attached to reviews
• Average Review Rating - Calculated from detailed reviews
• Reviews with Text - Count of reviews containing written content

Business Intelligence

• Data Completeness - Percentage score of field completion
• Data Source - Which extraction method succeeded
• Scraped Timestamp - When data was collected
• Recognition & Awards - Michelin stars, "Best of" awards, featured mentions
• Popular Times - Busy hours and peak traffic patterns
• Established Year - How long business has been operating
• Years in Business - Age of the establishment

Additional Details

• Description - Business description and about section
• Payment Methods - Credit cards, Debit cards, Cash only, Contactless payments
• Health & Safety - Mask requirements, Sanitization protocols, Temperature checks
• Special Features - Live music, Happy hour, Bar, Sports on TV, Karaoke, Private dining
• Parking Details - Specific parking information
• Business Permanently/Temporarily Closed - Closure status indicators

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🚀 Key Features of This Google Maps Scraper

1. Unlimited Results with Auto-Expansion

Google Maps typically shows only 100-120 results per search area. This Google Maps Scraper automatically expands your search to multiple neighborhoods and sub-areas, allowing you to collect 1,000+ results for any city or region.

Example: Searching for "restaurant in New York" automatically expands to:

• Manhattan
• Brooklyn
• Queens
• Bronx
• Staten Island
• And 15+ more neighborhoods

2. Smart Filtering Before Scraping

Unlike other scrapers that collect everything then filter, this Google Maps Scraper filters BEFORE detail scraping, saving time and resources:

• Only scrapes places that match your criteria
• Filters by rating, reviews, website, phone number
• Keyword matching in business name or category
• Price level filtering
• Business status filtering (open/closed)

3. Two Scraping Modes

⚡ Fast Mode (Basic Information)

• Collects core business data in seconds
• Name, Address, Phone, Rating, Reviews, Category
• Perfect for quick market surveys or building contact lists
• Speed: 10-20 places per minute

📊 Detailed Mode (Comprehensive Data)

• Extracts ALL available information
• Includes reviews, photos, hours, services, atmosphere
• Ideal for in-depth market analysis or business intelligence
• Speed: 2-3 places per minute
• Worth it for: Complete business profiles

4. Real-Time Result Streaming

Results appear immediately as they're collected:

• See data in real-time during scraping
• No waiting for entire job to complete
• Monitor progress with live counts
• Cancel anytime if you have enough data

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📋 Search Modes

1. Keyword Search

Search by business type and location:

• Example: "restaurant in Los Angeles"
• Example: "coffee shop in Tokyo"
• Example: "hotel in London"

2. URL Processing

Extract data from direct Google Maps URLs:

• Search result URLs
• Place detail URLs
• Multiple URLs at once

3. Both Keywords & URLs

Combine both methods for comprehensive coverage

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🔍 Advanced Filtering Options

Rating Filters

• Minimum Rating: Only businesses with rating ≥ X stars
• Maximum Rating: Only businesses with rating ≤ X stars
• Example: Get only 4-5 star restaurants

Review Filters

• Minimum Reviews: Businesses with at least X reviews
• Maximum Reviews: Businesses with at most X reviews
• Must Have Reviews: Exclude places with zero reviews
• Example: Find established places with 100+ reviews

Contact Filters

• Must Have Website: Only businesses with online presence
• Must Have Phone: Only businesses with contact numbers
• Example: Get businesses ready for outreach

Keyword Filters

• Include Keywords: Business name MUST contain specific words
• Exclude Keywords: Skip businesses with certain words
• Example: Include "vegan", Exclude "closed"

Status Filters

• Open Now Only: Only currently operating businesses
• Example: Find places to visit right now

Price Level Filters

• Select specific price ranges (1=cheap to 4=expensive)
• Example: Find budget-friendly restaurants ($-$$)

Place Type Filters

• Filter by specific Google Maps categories
• Example: Only "fine_dining" or "fast_food"

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🌍 Location Intelligence

Country Filter

Filter results by specific countries:

• Auto-detect from location
• Or select from 40+ countries
• Example: Only show results from United States

City-Specific Search

Search only in specific cities:

• Enter multiple cities
• Example: "Dhaka", "New York", "London"
• Focuses search on your target areas

Geographic Expansion

Automatically expands broad locations:

• Countries → Major cities (50+ cities per country)
• Major cities → Neighborhoods (20+ neighborhoods per city)
• Example: "California" → Los Angeles, San Francisco, San Diego, etc.

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📊 Output & Results

Output Formats

All data is delivered through Apify's dataset:

• JSON - Structured data format (default)
• CSV - Spreadsheet-compatible format
• Excel - Can be converted from CSV
• Database - Direct import ready

Sorting Options

Sort results by:

• Relevance - Google Maps default ordering
• Rating - Highest or lowest rated first
• Review Count - Most or least reviewed
• Name - Alphabetical (A-Z or Z-A)

Deduplication

Remove duplicate listings:

• By Place ID - Strict, most reliable (recommended)
• By Name + Address - Moderate strictness
• By Name Only - Loose matching
• No Deduplication - Keep all results

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💼 Use Cases for Google Maps Scraper

1. Lead Generation

Extract business contacts for B2B outreach:

• Get phone numbers and emails
• Build prospect lists by industry
• Filter by rating/reviews for quality leads

2. Market Research

Analyze business landscapes:

• Count competitors in specific areas
• Identify market gaps
• Study pricing strategies (price levels)
• Track business density by neighborhood

3. Location Intelligence

Gather geographic insights:

• Map business distributions
• Analyze operating hours by region
• Study service availability patterns
• Identify underserved areas

4. Competitor Analysis

Monitor competition:

• Track competitor ratings and reviews
• Analyze service offerings
• Compare price positioning
• Study customer sentiment

5. Business Directories

Build comprehensive directories:

• Local business listings
• Industry-specific catalogs
• Tourism guides
• Service provider databases

6. Real Estate Analysis

Evaluate location potential:

• Count amenities near properties
• Analyze neighborhood services
• Study commercial density
• Assess area popularity (review counts)

7. Franchise Research

Support expansion decisions:

• Identify potential franchise locations
• Analyze existing franchise presence
• Study competitive landscapes
• Evaluate market saturation

8. Data Enrichment

Enhance existing databases:

• Add missing contact information
• Update business details
• Verify current status (open/closed)
• Enrich with reviews and ratings

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⚙️ Performance Settings

Concurrency Control

• Adjust parallel requests (1-10)
• Higher = Faster but more aggressive
• Lower = Slower but more stable
• Recommended: 3 concurrent requests

Request Delays

• Add delays between requests (0-10 seconds)
• Higher delays = More polite, less blocking
• Lower delays = Faster results
• Recommended: 2 seconds

Retry Mechanism

• Auto-retry failed requests (0-10 attempts)
• Handles temporary network issues
• Ensures maximum data collection
• Recommended: 3 retries

Results Per Area

• Max results to collect per neighborhood (1-120)
• Google Maps limit is ~120 per area
• Lower = Faster coverage of multiple areas
• Recommended: 50 results per area

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🎯 Target Results System

This Google Maps Scraper features intelligent target tracking:

1. Set Your Goal: Target 100 filtered results
2. Auto-Search: Scraper searches multiple areas
3. Smart Filtering: Only counts results matching your filters
4. Keep Going: Continues until target reached

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📈 Data Quality & Completeness

Data Completeness Score

Each business gets a completeness score (0-100%) based on:

• Core fields: Name, Rating, Address, Phone, Website, Category
• Detail fields: Hours, Services, Reviews, Photos
• Use this to: Filter high-quality listings

Data Sources

The scraper tags each result with its source:

• Multiple extraction methods tried
• Most reliable source wins
• Ensures maximum data accuracy

Verification

All extracted data includes:

• Timestamp of collection
• Source verification
• Link to original Google Maps page

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🚀 Getting Started

1. Choose Search Mode: Keyword, URLs, or Both
2. Enter Search Query: "restaurant in New York"
3. Set Location: City, region, or country
4. Configure Filters: Rating, reviews, phone, website, etc.
5. Select Detail Level: Fast or Detailed mode
6. Set Target: How many results you need
7. Run Scraper: Results stream in real-time
8. Export Data: Download in JSON or CSV format

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🔒 Compliance & Best Practices

This Google Maps Scraper is designed for legitimate business intelligence and market research purposes:

• Respects Google Maps terms of service
• Implements polite request delays
• Does not overload servers
• Collects only publicly available data
• Includes rate limiting and retry logic

Recommended Use:

• Market research and analysis
• Lead generation for business purposes
• Academic and research projects
• Building public business directories
• Location intelligence gathering

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💡 Tips for Best Results

Maximize Data Collection

1. Use Auto-Expand: Enable for 10x more results
2. Set Realistic Targets: Start with 100-500 results
3. Choose Detailed Mode for Quality: Worth the extra time
4. Filter Smart: Use filters to get exactly what you need

Optimize Performance

1. Start with Fast Mode: Test your search first
2. Adjust Concurrency: Balance speed and stability
3. Use Request Delays: Prevent blocking (2 seconds recommended)
4. Monitor Real-Time: Watch results stream in

Get Better Data

1. Use Specific Keywords: "Italian restaurant" vs "restaurant"
2. Filter by Reviews: Get established businesses (min 10 reviews)
3. Check Data Completeness: Sort by completeness score
4. Require Contact Info: Use must-have filters for outreach

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🏆 Why Choose This Google Maps Scraper?

✅ Most Comprehensive - Extracts 50+ data points per business ✅ Unlimited Scale - Auto-expansion breaks 120-result limit ✅ Smart Filtering - Filters before scraping (saves time & resources) ✅ Real-Time Streaming - See results immediately ✅ Target Tracking - Continues until your goal is met ✅ Two Speed Modes - Choose between fast or comprehensive ✅ Multi-Source Reliable - Uses multiple extraction methods ✅ Advanced Filters - 15+ filtering options ✅ Location Intelligence - Auto-expand and geographic filtering ✅ Production Ready - Enterprise-grade reliability

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Start extracting valuable Google Maps business data today! 🗺️

Output Options

• Sort By:
  • Relevance (default)
  • Rating (High to Low / Low to High)
  • Reviews (Most to Least / Least to Most)
  • Name (A-Z / Z-A)
• Deduplication:
  • By Place ID (strict, default)
  • By Name + Address
  • By Name Only
  • No Deduplication
• Output Format: JSON or CSV
• Include Raw Data: Include raw HTML for debugging
• Verbose Logging: Enable detailed logs

Output

Each place includes:

Basic Info

• name: Business name
• category: Business category
• rating: Google rating (1-5)
• review_count: Number of reviews
• price_level: Price range ($, $$, $$$, $$$$)
• status: Open/closed status

Contact & Location

• address: Full address
• phone: Phone number
• website: Website URL
• website_domain: Domain name
• latitude: Latitude coordinate
• longitude: Longitude coordinate

Hours & Schedule

• hours: Opening hours
• hours_type: Regular/special hours
• opens_at: Opening time
• closes_at: Closing time
• total_hours_per_week: Total hours
• avg_hours_per_day: Average daily hours

Services & Amenities

• services: List of services
• atmosphere: Atmosphere tags
• payment_methods: Accepted payments
• cuisine_types: Types of cuisine
• dietary_options: Dietary options
• dining_options: Dining options
• parking_details: Parking info

Business Info

• business_attributes: Business attributes
• established_year: Year established
• years_in_business: Years in business
• permanently_closed: Closed status
• recognition: Awards/recognition

Media & Popularity

• popular_times: Popular times
• photo_count: Number of photos
• media_count: Total media count
• image_url: Main image URL
• has_photos: Has photos flag

Reviews (Detailed Mode Only)

• reviews: Array of review objects with:
  • reviewer_name: Reviewer name
  • rating: Review rating
  • text: Review text
  • time_ago: Time ago
  • helpful_count: Helpful count
  • is_local_guide: Local guide flag
• reviews_count: Total reviews
• reviews_avg_rating: Average rating
• reviews_with_text: Reviews with text count

Metadata

• url: Google Maps URL
• place_id: Unique place ID
• data_source: Data source (crawl4ai, curl-cffi, httpx)
• data_completeness: Data completeness score (%)
• scraped_at: Timestamp
• search_keyword: Search keyword used
• search_area: Search area used

Local Language (if enabled)

• local_language: Language code
• local_name: Name in local language
• local_category: Category in local language
• local_address: Address in local language

Examples

Basic Search

{
  "keyword": "coffee shop",
  "location": "London",
  "autoExpand": false,
  "targetResults": 100
}

Auto-Expand for 1000+ Results

{
  "keyword": "restaurant",
  "location": "New York",
  "autoExpand": true,
  "targetResults": 5000,
  "maxResultsPerArea": 50
}

Detailed Scraping with Filters

{
  "keyword": "hotel",
  "location": "Tokyo",
  "autoExpand": true,
  "targetResults": 500,
  "detailMode": "detailed",
  "minRating": 4.0,
  "minReviews": 50,
  "mustHaveWebsite": true,
  "sortBy": "rating_desc"
}

Global Search (Any City)

{
  "keyword": "cafe",
  "location": "Dhaka",
  "autoExpand": true,
  "targetResults": 1000,
  "language": "bn"
}