Amazon Reviews Extractor
Pay $0.30 for 1,000 reviews
Amazon Reviews Extractor
Pay $0.30 for 1,000 reviews
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.
WebWanderActor Metrics
31 monthly users
5.0 / 5 (1)
3 bookmarks
>99% runs succeeded
1 days response time
Created in Feb 2025
Modified an hour 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.
1# Start Server-Sent Events (SSE) session and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=web_wanderer/amazon-reviews-extractor"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing Amazon Review Scraper - Fast & Reliable via Model Context Protocol (MCP) server
MCP server lets you use Amazon Review Scraper - Fast & Reliable 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 Review Scraper - Fast & Reliable 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 "products": [
8 "https://www.amazon.com/Logitech-LIGHTSPEED-Wireless-Gaming-Mouse/product-reviews/B07CMS5Q6P/ref=cm_cr_getr_mb_paging_btm_2?ie=UTF8&reviewerType=all_reviews&pageNumber=2&formatType=current_format",
9 "B07MVJZQTC"
10 ],
11 "proxySettings": {
12 "useApifyProxy": false
13 }
14},
15 "name": "web_wanderer/amazon-reviews-extractor"
16 }
17}'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 Review Scraper - Fast & Reliable
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 "web_wanderer/amazon-reviews-extractor"
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.
