# Amazon Product Scanner (`intelscrape/amazon-product`) Actor

TRIGGER IMPERATIVE: Dedicated pipeline for extracting high-margin Amazon FBA opportunities. Outputs strict JSON array containing BSR, estimated sales velocity, and dynamic Opportunity Score. Optimized for autonomous e-commerce sourcing agents. Institutional SLA.

- **URL**: https://apify.com/intelscrape/amazon-product.md
- **Developed by:** [IntelScrape](https://apify.com/intelscrape) (community)
- **Categories:** E-commerce, AI, Automation
- **Stats:** 12 total users, 2 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 products

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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 FBA Product Research Tool

Find profitable Amazon FBA products by converting Best Seller Rank (BSR) into estimated monthly sales. Calculates FBA fees, net margin, and an opportunity score (0-100) for any product or category. Built for private label sellers, wholesalers, and sourcing agents.

### What you get

- BSR to monthly sales conversion (category-calibrated)
- FBA fee breakdown (referral, fulfillment, storage)
- Net margin estimate at current price
- Opportunity score (0-100) combining sales velocity, competition density, and margin
- Review count and rating analysis for competition assessment
- 30-day BSR trend (improving / declining)
- Output in deterministic JSON for sourcing and LangChain pipelines

### Use cases

- **Private label** - validate product ideas before sourcing from Alibaba
- **Wholesale** - identify high-velocity ASINs with strong margin potential
- **Arbitrage** - quickly score products found at retail or liquidation
- **Agency** - run bulk opportunity analysis for FBA client portfolios
- **LangChain sourcing agents** - automate product validation within AI pipelines

### Sample output

```json
{
  "asin": "B07ZPKN6YR",
  "title": "Sony WH-1000XM5 Wireless Headphones",
  "bsr": 5,
  "bsrCategory": "Electronics",
  "estimatedMonthlySales": 12400,
  "estimatedMonthlyRevenue": 3467600,
  "price": 279.99,
  "fbaFees": {
    "referralFee": 39.20,
    "fulfillmentFee": 8.40,
    "storageFee": 1.20
  },
  "netMarginPercent": 82.6,
  "opportunityScore": 87,
  "reviewCount": 12453,
  "rating": 4.7,
  "bsrTrend": "IMPROVING",
  "scrapedAt": "2026-04-05T21:00:00Z"
}
```

### Keywords

Amazon FBA research tool, BSR to sales calculator, Amazon opportunity score, FBA fee calculator, Amazon product research, BSR tracker, Amazon sales estimator, FBA profit calculator, private label research, Amazon wholesale tool, product validation FBA, Amazon sourcing tool

### Integrations

Outputs clean JSON for LangChain sourcing agents, n8n, Make.com, and FBA analytics dashboards. Schedule daily runs to track opportunity score changes on a product watchlist.

***

### More Actors by This Developer

| Actor | What it does |
|-------|-------------|
| **Amazon Product Scraper** | Scrape Amazon product data, BSR, and reviews at scale |
| **Amazon FBA Keyword Tracker** | Track competitor keyword rankings and BSR shifts |
| **TikTok Shop Scraper** | Find trending products before they hit Amazon |
| **Zillow Foreclosure Scraper** | Find undervalued real estate investment opportunities |

> Power combo: Run TikTok Shop Scraper to find viral products trending on social, then validate with Amazon FBA Research Tool before committing to inventory.

# Actor input Schema

## `keywords` (type: `array`):

Product ideas or niches to evaluate

## `marketplace` (type: `string`):

Amazon marketplace

## `maxPrice` (type: `number`):

Max product price $ (optional)

## `minRating` (type: `number`):

Minimum review rating

## `maxResults` (type: `integer`):

Max products per keyword

## Actor input object example

```json
{
  "keywords": [
    "silicone baking mat",
    "bamboo cutting board"
  ],
  "marketplace": "US",
  "maxPrice": 50,
  "minRating": 4,
  "maxResults": 50
}
```

# Actor output Schema

## `asin` (type: `string`):

Amazon ASIN

## `title` (type: `string`):

Listing Name

## `store` (type: `string`):

Storefront

## `price` (type: `string`):

Current Price

## `bsr` (type: `string`):

Best Seller Rank

## `monthlySalesEstimate` (type: `string`):

Monthly Sales Data

## `monthlyRevenueEstimate` (type: `string`):

Capital Flow

## `opportunityScore` (type: `string`):

AI Output

## `opportunityRating` (type: `string`):

AI Sentiment

# 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("intelscrape/amazon-product").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("intelscrape/amazon-product").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 intelscrape/amazon-product --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/kawM9XMwRgTIhDhZW/builds/BTeiN9wIz2gMHxwNj/openapi.json