Amazon Reviews Scraper
Pricing
$0.50 / 1,000 Reviews
Amazon Reviews Scraper
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 (3)
Pricing
$0.50 / 1,000 Reviews
9
Monthly users
66
Runs succeeded
>99%
Response time
11 days
Last modified
12 days 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.
1# Start Server-Sent Events (SSE) session and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=axesso_data/amazon-reviews-scraper"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing Amazon Reviews Scraper via Model Context Protocol (MCP) server
MCP server lets you use Amazon Reviews Scraper within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId and use it to communicate with the MCP server. The message starts the Amazon Reviews Scraper Actor with the provided input.
1curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
2 "jsonrpc": "2.0",
3 "id": 1,
4 "method": "tools/call",
5 "params": {
6 "arguments": {
7 "input": [
8 {
9 "asin": "B08C1W5N87",
10 "domainCode": "com",
11 "sortBy": "recent",
12 "maxPages": 1,
13 "filterByStar": "five_star",
14 "filterByKeyword": "good",
15 "reviewerType": "all_reviews",
16 "formatType": "current_format",
17 "mediaType": "all_contents"
18 }
19 ]
20},
21 "name": "axesso_data/amazon-reviews-scraper"
22 }
23}'The response should be: Accepted. You should received response via SSE (JSON) as:
1event: message
2data: {
3 "result": {
4 "content": [
5 {
6 "type": "text",
7 "text": "ACTOR_RESPONSE"
8 }
9 ]
10 }
11}Configure local MCP Server via standard input/output for Amazon Reviews Scraper
You can connect to the MCP Server using clients like ClaudeDesktop and LibreChat or build your own. The server can run both locally and remotely, giving you full flexibility. Set up the server in the client configuration as follows:
1{
2 "mcpServers": {
3 "actors-mcp-server": {
4 "command": "npx",
5 "args": [
6 "-y",
7 "@apify/actors-mcp-server",
8 "--actors",
9 "axesso_data/amazon-reviews-scraper"
10 ],
11 "env": {
12 "APIFY_TOKEN": "<YOUR_API_TOKEN>"
13 }
14 }
15 }
16}You can further access the MCP client through the Tester MCP Client, a chat user interface to interact with the server.
To get started, check out the documentation and example clients. If you are interested in learning more about our MCP server, check out our blog post.
Pricing
Pricing model
Pay per resultThis Actor is paid per result. You are not charged for the Apify platform usage, but only a fixed price for each dataset of 1,000 items in the Actor outputs.
Price per 1,000 items
$0.50
