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Google Search Data Extractor Pro

Under maintenance

Pricing

Pay per usage

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Google Search Data Extractor Pro

Google Search Data Extractor Pro

Under maintenance

Developed by

Đinh Huy Hoàng

Đinh Huy Hoàng

Maintained by Community

Google search results collector powered by official Google Custom Search API. Extract comprehensive search data across 14 languages with advanced filtering, metadata collection, and customizable outputs. Perfect for Google search monitoring, SEO research, and market analysis.

5.0 (1)

Pricing

Pay per usage

0

Total users

23

Monthly users

5

Runs succeeded

0%

Last modified

3 months ago

You can access the Google Search Data Extractor Pro 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.

{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/sse?actors=dhhoang.dn2/google-search-data-extractor-pro",
"--header",
"Authorization: Bearer <YOUR_API_TOKEN>"
]
}
}
}

Configure MCP server with Google Search Data Extractor Pro

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=dhhoang.dn2/google-search-data-extractor-pro 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=dhhoang.dn2/google-search-data-extractor-pro",
"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.