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Goodreads Review Scraper 📖 - Faster & Cheaper

Try for free

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Storm_Scraper

Collect Goodreads book reviews by URL 📚. Access detailed review data with user names, ratings ⭐, review text, and profile links 🌐. Ideal for analyzing book feedback, researching titles, and gathering data for projects or studies 📊. Perfect for book lovers, researchers, and literary professionals.

5.0 (1)

Pricing

$18.99/month + usage

Total users

Monthly users

Runs succeeded

>99%

Last modified

4 months ago

E-commerce

Other

You can access the Goodreads Review Scraper 📖 - Faster & Cheaper 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=scrapestorm/goodreads-review-scraper---faster-cheaper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with Goodreads Review Scraper 📖 - Faster & Cheaper

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=scrapestorm/goodreads-review-scraper---faster-cheaper 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=scrapestorm/goodreads-review-scraper---faster-cheaper",
            "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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