Amazon Reviews Scraper with Advanced Filters avatar
Amazon Reviews Scraper with Advanced Filters

Under maintenance

Pricing

$35.00/month + usage

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Amazon Reviews Scraper with Advanced Filters

Amazon Reviews Scraper with Advanced Filters

Under maintenance

Developed by

ВAH

ВAH

Maintained by Community

This Amazon Reviews Scraper is designed to extract a vast amount of reviews (up to tens of thousands) for a specified ASIN with high efficiency. By utilizing advanced review filters, it ensures that you capture as many relevant reviews as possible.

3.7 (2)

Pricing

$35.00/month + usage

53

Total users

479

Monthly users

76

Runs succeeded

>99%

Issues response

3.7 days

Last modified

11 days ago

You can access the Amazon Reviews Scraper with Advanced Filters 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=delicious_zebu/amazon-reviews-scraper-with-advanced-filters",
"--header",
"Authorization: Bearer <YOUR_API_TOKEN>"
]
}
}
}

Configure MCP server with Amazon Reviews Scraper with Advanced Filters

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=delicious_zebu/amazon-reviews-scraper-with-advanced-filters 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=delicious_zebu/amazon-reviews-scraper-with-advanced-filters",
"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.