Google Maps Scraper (for Business Data Extraction )

What is a Google Maps Scraper?

A Google Maps Scraper is an automated data extraction tool designed to collect business listing information from Google Maps search results. This scraper runs on the CoreClaw platform, handling proxy rotation, browser fingerprinting, and task scheduling automatically — so you can focus on the data, not the infrastructure.

• ✅ Comprehensive Data - Extract 20+ data fields per business listing
• ✅ Bulk Search - Search multiple keywords simultaneously with concurrent processing
• ✅ Location Targeting - Search by geo coordinates with custom zoom and radius
• ✅ Email Extraction - Automatically extract email addresses from business websites
• ✅ Multi-Language - Support for 10+ languages including English, Chinese, Spanish, French, German, Japanese, Korean, and more
• ✅ Deep Scraping - Configurable scroll depth to control how many results to extract
• ✅ Business Details - Get opening hours, price range, business status, and owner information
• ✅ Precise Coordinates - Extract latitude and longitude for each business

What data can you extract?

How to use the Google Maps Scraper?

This scraper runs on the CoreClaw cloud platform, which handles proxy rotation, browser instances, and data delivery automatically. Simply configure your search parameters and start:

1. Open the Google Maps Scraper page
2. Enter your search queries (e.g., "restaurants in New York", "dentists near London")
3. Configure search parameters (language, depth, location, etc.)
4. Click "Start" to begin scraping
5. Download the results in JSON or CSV format

➡️ Input

Key Parameter Descriptions

Usage Examples

Example 1: Basic Local Business Search

• Search Query: restaurants in New York
• Language: English
• Max Depth: 10
• Result: Extracts ~120 restaurant listings with name, address, phone, rating, and reviews

Example 2: Targeted Location Search

• Search Query: dentists near London
• Geo Coordinates: 51.5074,-0.1278
• Zoom Level: 14
• Radius: 5000m
• Result: Extracts dental practices within 5km of central London with precise coordinates

Example 3: Lead Generation with Emails

• Search Query: marketing agencies in Los Angeles
• Extract Emails: true
• Max Depth: 15
• Result: Extracts business listings plus email addresses found on their websites

⬅️ Output

Output results are displayed in tables and tabs. You can download the results in CSV/JSON format.

Output Fields

JSON Example

{
  "title": "Joe's Pizza",
  "category": "Pizza Restaurant",
  "address": "7 Carmine St, New York, NY 10014",
  "phone": "+1 212-366-1182",
  "web_site": "https://www.joespizzanyc.com",
  "review_count": "4852",
  "review_rating": "4.5",
  "latitude": "40.7306",
  "longitude": "-74.0002",
  "status": "Open",
  "link": "https://www.google.com/maps/place/Joe%27s+Pizza/...",
  "price_range": "$$",
  "emails": ["info@joespizzanyc.com"]
}

FAQ

How many results can I extract per search?

Each scroll depth loads approximately 12 additional results. With the default max depth of 10, you can expect around 120 results per search query. Increase the max depth for more results.

What languages are supported?

The scraper supports 10 languages: English, Chinese, Spanish, French, German, Japanese, Korean, Portuguese, Italian, and Russian. The language setting affects the Google Maps interface language and result formatting.

How does email extraction work?

When enabled, the scraper visits each business's website and searches for email addresses in the page content. This significantly increases scraping time but provides valuable contact information for lead generation.

Can I search for businesses in a specific area?

Yes! Use the geoCoordinates parameter to set a center point (e.g., "37.7749,-122.4194" for San Francisco), then adjust the zoom and radius to control the search area.

What are common use cases?

• Lead Generation - Build targeted contact lists of local businesses
• Market Research - Analyze business density and competition in specific areas
• Local SEO - Audit business listings and identify optimization opportunities
• Competitor Analysis - Monitor competing businesses in your area
• Business Directories - Build comprehensive local business databases
• Real Estate Research - Analyze commercial areas and nearby amenities