Pricing

$0.10 / 1,000 reviews

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🐺 Google Play Reviews Scraper | Pay per Result

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Developed by

The Wolves

Google Play Reviews Scraper stands as the most enhanced solution for extracting reviews directly from Google Play, offering unparalleled data retrieval efficiency, unbeatable pricing, and exceptional speed. It charges only $0.10 for 1000 reviews in lightning-speed ⚡️

0.0 (0)

Pricing

$0.10 / 1,000 reviews

Total users

339

Monthly users

Runs succeeded

91%

Last modified

19 hours ago

Lead generation

You can access the 🐺 Google Play Reviews Scraper | Pay per Result 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": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/sse?actors=thewolves/google-play-reviews-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with 🐺 Google Play Reviews Scraper | Pay per Result

You have a few options for interacting with the MCP server:

Use mcp.apify.com via mcp-remote from your local machine to connect and authenticate using OAuth or an API token (as shown in the JSON configuration above).
Set up the connection directly in your MCP client UI by providing the URL https://mcp.apify.com/sse?actors=thewolves/google-play-reviews-scraper along with an API token (or use OAuth).
Connect to mcp.apify.com via Server-Sent Events (SSE), as shown below:

{
    "mcpServers": {
        "apify": {
            "type": "sse",
            "url": "https://mcp.apify.com/sse?actors=thewolves/google-play-reviews-scraper",
            "headers": {
                "Authorization": "Bearer <YOUR_API_TOKEN>"
            }
        }
    }
}

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other 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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