Google Maps Scraper
Pricing
from $0.00005 / actor start
Google Maps Scraper
Extract business data from Google Maps — names, addresses, phone numbers, websites, ratings, reviews, hours, and more. Supports grid-based search for comprehensive coverage.
Pricing
from $0.00005 / actor start
Rating
0.0
(0)
Developer
yossef Nagy
Actor stats
0
Bookmarked
2
Total users
1
Monthly active users
2 days ago
Last modified
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Extract business data from Google Maps at scale. Get names, addresses, phone numbers, websites, ratings, reviews, opening hours, and more for any type of business in any location.
What does Google Maps Scraper do?
This Actor searches Google Maps for businesses matching your query and extracts structured data for each result. It uses grid-based search for comprehensive coverage, finding businesses that don't appear in standard search results.
No browser required — uses Google Maps' internal APIs directly for fast, efficient extraction.
Features
- Comprehensive data: name, address, phone, website, rating, reviews, hours, categories, coordinates, and more
- Grid-based search: covers entire areas systematically, not just the first page of results
- Scale: extract hundreds or thousands of businesses per run
- Place details: optionally fetch full business details including opening hours and amenities
- Reviews: optionally extract customer reviews for each business
Input
| Field | Type | Required | Default | Description |
|---|---|---|---|---|
query | string | Yes | — | Search query including location, e.g. "restaurants in New York" |
maxResults | integer | No | 100 | Maximum businesses to extract (0 = unlimited) |
language | string | No | "en" | Language code for results |
zoom | integer | No | 13 | Google Maps zoom level (1-21) |
includeDetails | boolean | No | true | Fetch detailed place info (hours, phone, website) |
includeReviews | boolean | No | false | Fetch customer reviews |
reviewsLimit | integer | No | 5 | Max reviews per business |
proxyUrl | string | No | — | HTTP proxy URL (recommended for reliability) |
Output
Each business in the dataset contains:
{"name": "Joe's Pizza","address": "7 Carmine St, New York, NY 10014","phone": "+1 212-366-1182","website": "https://www.joespizzanyc.com","rating": 4.5,"reviews_count": 12847,"category": "Pizza restaurant","categories": ["Pizza restaurant", "Italian restaurant"],"latitude": 40.7304,"longitude": -74.0022,"place_id": "ChIJr3k0v6VZwokRPCxBJnIcdTA","google_maps_url": "https://www.google.com/maps/place/?q=place_id:ChIJr3k0v6VZwokRPCxBJnIcdTA","hours": {"monday": "10:00 AM - 2:00 AM","tuesday": "10:00 AM - 2:00 AM"},"price_level": 1}
Usage examples
Basic search:
restaurants in New York
Specific business type:
dentists in Los Angeles, CA
International search:
hotels near Paris, France
Tips
- Include location in your query for best results: "plumbers in Chicago" not just "plumbers"
- Use a proxy for reliable extraction — Google blocks datacenter IPs
- Start with a small
maxResultsto test, then scale up - Enable
includeDetailsto get phone numbers, websites, and opening hours (slightly slower) - Adjust zoom level: lower zoom (10-12) covers larger areas, higher zoom (14-17) finds more businesses in small areas
Proxy
Google Maps blocks requests from datacenter IPs. For reliable extraction, provide an HTTP proxy URL in the proxyUrl input field.
Limitations
- Results depend on what Google Maps returns for your query and location
- Some businesses may have incomplete data (missing phone, website, or hours)
- Rate limiting may apply for very large extractions