Deprecated

Pricing

$24.99 / 1,000 requests

See alternative Actors

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Google Trends Scraper (Fast)

Deprecated

See alternative Actors

Developed by

SAM

Scrape data from Google Trends by search terms or URLs. Specify locations, define time ranges, select categories to get interest by subregion over time, related queries, topics, and more. Export scraped data, run the scraper via API, schedule and monitor runs, or integrate with other tools.

0.0 (0)

Pricing

$24.99 / 1,000 requests

Total users

126

Monthly users

Runs succeeded

Last modified

a year ago

SEO tools

You can access the Google Trends Scraper (Fast) 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",
                "davidbellman/google-trends-scraper-fast"
            ],
            "env": {
                "APIFY_TOKEN": "<YOUR_API_TOKEN>"
            }
        }
    }
}

Configure MCP server with Google Trends Scraper (Fast)

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=davidbellman/google-trends-scraper-fast",
            "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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