Amazon Reviews Scraper
3 days trial then $30.00/month - No credit card required now
Amazon Reviews Scraper
3 days trial then $30.00/month - No credit card required now
Gain access to incredibly rapid, essential, and highly informative Amazon product review data. Pull out ratings, reviews, images, product specifics, and more. Retrieve reviews of any product, regardless of the country of origin. Unlimited and exceptionally fast.
epctexActor Metrics
81 monthly users
No reviews yet
6 bookmarks
85% runs succeeded
Created in Dec 2023
Modified 5 minutes ago
You can access the Amazon Reviews Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1# Start Server-Sent Events (SSE) session and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=epctex/amazon-reviews-scraper"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing Amazon Reviews Scraper via Model Context Protocol (MCP) server
MCP server lets you use Amazon Reviews Scraper within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId and use it to communicate with the MCP server. The message starts the Amazon Reviews Scraper Actor with the provided input.
1curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
2 "jsonrpc": "2.0",
3 "id": 1,
4 "method": "tools/call",
5 "params": {
6 "arguments": {
7 "startUrls": [
8 "https://www.amazon.com/JBL-Quantum-400-Headphones-Game-Chat/dp/B084CZDX61/"
9 ],
10 "extendOutputFunction": "($) => { return {} }",
11 "customMapFunction": "(object) => { return {...object} }",
12 "proxy": {
13 "useApifyProxy": true
14 },
15 "includeOtherCountriesReviews": true
16},
17 "name": "epctex/amazon-reviews-scraper"
18 }
19}'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 "epctex/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.
