# 🛒 Amazon Product Scraper - Prices, Reviews & Listings (`unrivaled_fortress/amazon-data-extractor-ai`) Actor

Extract public Amazon product data including price, rating, review counts, BSR, images and seller info. For e-commerce research and price monitoring.

- **URL**: https://apify.com/unrivaled\_fortress/amazon-data-extractor-ai.md
- **Developed by:** [David An](https://apify.com/unrivaled_fortress) (community)
- **Categories:** E-commerce, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## 🛒 Amazon Product Scraper - Prices, Reviews & Listings

**Prices, Reviews & Listings** — Production-grade web scraping Actor on Apify. Built with open-source technology for reliable data extraction.

### ✨ Features

- 📊 Structured data extraction with clean, AI-ready output
- 🚀 Fast, reliable, and scalable across multiple platforms
- 📈 Export as JSON / CSV / Excel for analytics and integration
- 🔓 **No API key required** for most use cases
- 🌍 Multi-source aggregation

### 📥 Input

Configure input fields before running — set your search parameters, URLs, or queries directly in the input form.

### 📤 Output

Each dataset item contains structured fields ready for analytics, AI processing, lead generation, or integration with downstream tools.

### 💡 Use Cases

- **Lead generation**: extract contact info, business data
- **Market research**: monitor prices, reviews, listings
- **Data enrichment**: bulk processing for CRM and analytics
- **AI pipelines**: AI-ready output for LLM/RAG workflows

### 💰 Pricing

**from $2.00 / 1,000 results** — pay only for data returned.

### ⭐ Leave a Review

Your rating helps this Actor reach more users. A 30-second review on the Apify Store makes a real difference for indie developers.

### 📌 Changelog

- **v1.0** — Public release
- **v1.1** — Performance and reliability improvements
- **v1.2** — Added more output fields and clearer error messages

### 🔧 Support

Issues or feature requests? Open an issue directly on this Actor's *Issues* tab — average response time: under 24h.

***

**Crafted by [David Ahn](https://apify.com/unrivaled_fortress)** · Built with [Apify](https://apify.com) + [Crawlee](https://crawlee.dev) (open-source)

# Actor input Schema

## `query` (type: `string`):

Amazon product search keyword.

## `limit` (type: `integer`):

Max results.

## Actor input object example

```json
{
  "query": "laptop",
  "limit": 20
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("unrivaled_fortress/amazon-data-extractor-ai").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("unrivaled_fortress/amazon-data-extractor-ai").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call unrivaled_fortress/amazon-data-extractor-ai --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=unrivaled_fortress/amazon-data-extractor-ai",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/5MLTopbLeHaq4bJFd/builds/qPPk17rvm5eN5f0h5/openapi.json