🐺 Trustpilot Reviews Scraper | Pay Per Result $0.5/1K reviews

Pricing

$0.50 / 1,000 reviews

Try for free

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🐺 Trustpilot Reviews Scraper | Pay Per Result $0.5/1K reviews

Try for free

Developed by

The Wolves

Maintained by Community

The Wolves proudly introduces the Trustpilot Review Scraper, an ideal tool for extracting reviews. It can gather 100-200 reviews per second, offering an extremely affordable rate of just $0.50 per 1,000 reviews. The most cost-effective option!

5.0 (1)

Pricing

$0.50 / 1,000 reviews

Issues response

4.3 days

Last modified

14 hours ago

Lead generation

You can access the 🐺 Trustpilot Reviews Scraper | Pay Per Result $0.5/1K reviews 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/?actors=thewolves/trustpilot-reviews-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with 🐺 Trustpilot Reviews Scraper | Pay Per Result $0.5/1K reviews

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/?actors=thewolves/trustpilot-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/?actors=thewolves/trustpilot-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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