Pricing

$10.00/month + usage

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Rapid Google Maps Scraper

Try for free

Developed by

Sadnan

Lightning-fast Google Maps scraper that can collect up to 200 listings per minute. Get names, addresses, phone numbers, images, hours, reviews, and ratings in structured format. Uses advanced HTTP request for superior performance, reliability and efficiency compared to traditional scrapers.

0.0 (0)

Pricing

$10.00/month + usage

Total users

Monthly users

Runs succeeded

96%

Last modified

22 days ago

Lead generation

E-commerce

Other

You can access the Rapid Google Maps Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

{
    "mcpServers": {
        "local-actors-mcp-server": {
            "command": "npx",
            "args": [
                "-y",
                "@apify/actors-mcp-server",
                "--actors",
                "perfectscrape/rapid-google-maps-scraper"
            ],
            "env": {
                "APIFY_TOKEN": "<YOUR_API_TOKEN>"
            }
        }
    }
}

Configure MCP server with Rapid Google Maps Scraper

You can interact with the MCP server via standard input/output - stdio (as shown above), which is ideal for local integrations and command-line tools such as the Claude desktop client, or you can interact with the server through Server-Sent Events (SSE) to send messages and receive responses, which looks as follows:

{
    "mcpServers": {
        "remote-actors-mcp-server": {
            "type": "sse",
            "url": "https://mcp.apify.com/sse?actors=perfectscrape/rapid-google-maps-scraper",
            "headers": {
                "Authorization": "Bearer <YOUR_API_TOKEN>"
            }
        }
    }
}

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other supported MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.

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