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$0.50 / 1,000 reviews

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Amazon Reviews Scraper

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Developed by

Axesso - Data Service

Our Amazon Reviews Scraper extracts real-time reviews from Amazon, including ratings, titles, descriptions, user reactions, review dates, images and many more. Download the data in formats like JSON, CSV, Excel, XML, or HTML. Fast, accurate, and ideal for in-depth insights.

5.0 (4)

Pricing

$0.50 / 1,000 reviews

Total users

470

Monthly users

219

Runs succeeded

>99%

Issues response

2.7 days

Last modified

24 days ago

E-commerce

You can access the Amazon Reviews Scraper 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=axesso_data/amazon-reviews-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with Amazon Reviews Scraper

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=axesso_data/amazon-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=axesso_data/amazon-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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