Amazon Reviews Extractor
Pricing
$0.30 / 1,000 reviews
Amazon Reviews Extractor
Scrape up to 500 Amazon reviews per product! Filter by stars, keywords, media & verified purchases. Extract global reviews (20+ regions). Export JSON/CSV. Perfect for market research & SEO.
2.5 (4)
Pricing
$0.30 / 1,000 reviews
12
Total users
158
Monthly users
71
Runs succeeded
>99%
Issues response
7.5 days
Last modified
7 hours ago
You can access the Amazon Reviews Extractor 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": { "local-actors-mcp-server": { "command": "npx", "args": [ "-y", "@apify/actors-mcp-server", "--actors", "web_wanderer/amazon-reviews-extractor" ], "env": { "APIFY_TOKEN": "<YOUR_API_TOKEN>" } } }}Configure MCP server with Amazon Review Scraper - Fast & Reliable
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=web_wanderer/amazon-reviews-extractor", "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.
