
Amazon Reviews Scraper
Pricing
Pay per event

Amazon Reviews Scraper
Amazon scraper to extract reviews from Amazon products. Scrape and download detailed reviews without using the Amazon API, including rating score, review description, reactions and images. Download your data as HTML table, JSON, CSV, Excel, XML.
3.2 (13)
Pricing
Pay per event
83
Total users
4.7K
Monthly users
318
Runs succeeded
98%
Issues response
2.9 days
Last modified
12 hours ago
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.
{ "mcpServers": { "local-actors-mcp-server": { "command": "npx", "args": [ "-y", "@apify/actors-mcp-server", "--actors", "junglee/amazon-reviews-scraper" ], "env": { "APIFY_TOKEN": "<YOUR_API_TOKEN>" } } }}
Configure MCP server with Scrape Amazon reviews with ratings, description and images
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=junglee/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 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.