Google Maps Scraper

Extract business listings from Google Maps search results at scale. Get structured data including business names, addresses, phone numbers, websites, ratings, reviews, hours of operation, GPS coordinates, and more -- all without needing a Google API key.

What does Google Maps Scraper do?

This scraper takes a search query and location, then extracts detailed business information from Google Maps. It works exactly like searching Google Maps manually, but automated and at scale.

For example, searching for "plumbers in Chicago" will return structured data for every plumber listing Google Maps shows, complete with contact details, ratings, and operating hours.

Key features

• No API key required -- scrapes the public Google Maps web interface directly
• Full business details -- name, address, phone, website, category, price level
• Ratings and reviews -- star rating and total review count for each business
• Hours of operation -- complete weekly schedule
• GPS coordinates -- latitude and longitude for each listing
• Photo URLs -- optionally extract business photo links
• Automatic pagination -- scrolls through all available results
• Anti-blocking -- built-in session rotation, fingerprinting, and human-like delays
• Proxy support -- works with Apify residential proxies for reliable results

Input parameters

Parameter	Type	Required	Default	Description
searchQuery	String	Yes	-	What to search for (e.g., "restaurants", "dentists", "hotels")
location	String	Yes	-	Where to search (e.g., "New York, NY", "London, UK")
maxResults	Integer	No	20	Maximum number of results to extract (1-120)
language	String	No	"en"	Language code for results (e.g., "en", "es", "fr", "de")
includePhotos	Boolean	No	false	Whether to extract business photo URLs
maxConcurrency	Integer	No	3	Parallel page processing (1-10)
proxyConfiguration	Object	No	Apify Residential	Proxy settings

Example input

{
    "searchQuery": "Italian restaurants",
    "location": "San Francisco, CA",
    "maxResults": 50,
    "language": "en",
    "includePhotos": true
}

Output

The scraper produces a dataset of business listings in clean, structured JSON. Each listing contains the following fields:

Field	Type	Description
name	String	Business name
address	String	Full street address
phone	String	Phone number
website	String	Business website URL
rating	Number	Star rating (1.0 - 5.0)
reviewCount	Number	Total number of Google reviews
category	String	Business category (e.g., "Italian restaurant")
priceLevel	String	Price indicator (e.g., "$", "$$", "$$$")
hours	Object	Hours of operation by day of the week
googleMapsUrl	String	Direct Google Maps URL for the listing
latitude	Number	GPS latitude coordinate
longitude	Number	GPS longitude coordinate
plusCode	String	Google Plus Code (compact location identifier)
photoUrls	Array	Business photo URLs (only when includePhotos is true)
searchResultIndex	Number	Position in the search results
scrapedAt	String	ISO 8601 timestamp of when the data was scraped

Sample output

[
    {
        "name": "Tony's Pizza Napoletana",
        "address": "1570 Stockton St, San Francisco, CA 94133",
        "phone": "(415) 835-9888",
        "website": "https://tonyspizzanapoletana.com/",
        "rating": 4.5,
        "reviewCount": 4823,
        "category": "Pizza restaurant",
        "priceLevel": "$$",
        "hours": {
            "Monday": "12 - 9 PM",
            "Tuesday": "12 - 9 PM",
            "Wednesday": "12 - 9 PM",
            "Thursday": "12 - 9 PM",
            "Friday": "12 - 10 PM",
            "Saturday": "12 - 10 PM",
            "Sunday": "12 - 9 PM"
        },
        "googleMapsUrl": "https://www.google.com/maps/place/Tony's+Pizza+Napoletana/@37.8003,-122.4092,17z/...",
        "latitude": 37.8003,
        "longitude": -122.4092,
        "plusCode": "QH5H+WG San Francisco, California",
        "photoUrls": [
            "https://lh5.googleusercontent.com/p/AF1QipN.../=w800-h600",
            "https://lh5.googleusercontent.com/p/AF1QipO.../=w800-h600"
        ],
        "searchResultIndex": 1,
        "scrapedAt": "2026-03-27T14:30:00.000Z"
    },
    {
        "name": "Flour + Water",
        "address": "2401 Harrison St, San Francisco, CA 94110",
        "phone": "(415) 826-7000",
        "website": "https://www.flourandwater.com/",
        "rating": 4.4,
        "reviewCount": 3156,
        "category": "Italian restaurant",
        "priceLevel": "$$$",
        "hours": {
            "Monday": "Closed",
            "Tuesday": "5:30 - 10 PM",
            "Wednesday": "5:30 - 10 PM",
            "Thursday": "5:30 - 10 PM",
            "Friday": "5:30 - 10:30 PM",
            "Saturday": "5:30 - 10:30 PM",
            "Sunday": "5 - 9:30 PM"
        },
        "googleMapsUrl": "https://www.google.com/maps/place/Flour+%2B+Water/@37.7588,-122.4127,17z/...",
        "latitude": 37.7588,
        "longitude": -122.4127,
        "plusCode": "QGQH+RC San Francisco, California",
        "photoUrls": [
            "https://lh5.googleusercontent.com/p/AF1QipP.../=w800-h600"
        ],
        "searchResultIndex": 2,
        "scrapedAt": "2026-03-27T14:30:05.000Z"
    }
]

Use cases

Lead generation

Build targeted prospect lists by scraping businesses in specific industries and locations. Get phone numbers, websites, and addresses for outreach campaigns.

Market research

Analyze the competitive landscape in any market. Compare ratings, review counts, and price levels across businesses in a given area.

Local SEO analysis

Monitor how businesses rank in Google Maps for specific search terms. Track rating changes and review volume over time.

Business directory building

Create comprehensive business directories for specific regions or industries. All the data you need is extracted in one run.

Location intelligence

Extract GPS coordinates and addresses for geographic analysis, territory planning, or mapping applications.

Review monitoring

Track review counts and ratings for your business or competitors. Run the scraper periodically to monitor changes.

Performance and cost

Results	Approximate runtime	Compute units
20 listings	2-4 minutes	~0.05
50 listings	5-10 minutes	~0.12
100 listings	10-20 minutes	~0.25

Runtimes depend on proxy speed and whether photo extraction is enabled.

Tips for reducing cost

• Set maxResults to only what you need
• Disable includePhotos if you do not need images
• Use lower maxConcurrency to reduce parallel browser usage

Limitations

• Google Maps typically returns a maximum of ~120 results per search query. For broader coverage, run multiple searches with more specific queries.
• Hours of operation may not be available for all businesses.
• Some business details (like price level) are only shown for certain business categories.
• Results depend on what Google Maps returns for the given query and location, which can vary.

Integrations

This actor works seamlessly with the Apify platform ecosystem:

• Export results as JSON, CSV, XML, or Excel
• Schedule periodic runs for monitoring
• Webhooks to trigger downstream workflows
• API access to integrate results into your applications
• Connect to Google Sheets, Slack, Zapier, Make, and hundreds of other services

Support

If you encounter any issues or have feature requests, please open an issue on the actor's GitHub repository or contact support through the Apify platform.