# Amazon Product & Sales Velocity Scraper (`lepone31/amazon-product-intelligence`) Actor

Fast, lightweight Amazon Product & Search Scraper supporting 8 marketplaces (.com, .co.uk, .de, .fr, .es, .it, .ca). Extracts ASINs, prices, discounts, ratings, review counts, 'Bought in past month' sales velocity, Prime status, and Deal Scores at $1.45/1k.

- **URL**: https://apify.com/lepone31/amazon-product-intelligence.md
- **Developed by:** [Cedric poma](https://apify.com/lepone31) (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

$3.00 / 1,000 product analyzeds

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Amazon Product, Search & Sales Volume Scraper (Multi-Country)

Extract **Amazon products, live prices, discounts, ratings, review counts, and monthly sales velocity badges (`"1K+ bought in past month"`)** across 8 international Amazon marketplaces — **without expensive headless browsers**.

***

### Why Switch to Amazon Product Intelligence?

| Metric | Traditional Amazon Scrapers (`$5.00 - $12.00 / 1k`) | **Amazon Product Intelligence (`$1.45 / 1k`)** |
| :--- | :--- | :--- |
| **Price per 1,000 Products** | `$5.00` – `$12.00` | **`$1.45 / 1,000 products`** |
| **Architecture** | Heavy Playwright / Puppeteer | **Pure TLS-Impersonated HTTP (`curl_cffi`)** |
| **RAM Required** | 2,048 MB+ | **`128 MB - 256 MB RAM`** |
| **Sales Volume Signal** | Often missing | **Extracts `"Bought in past month"` velocity badge** |
| **Arbitrage Deal Scoring** | None | **Automatic Category Median & Deal Flagging** |

***

### Supported Marketplaces

- United States (`amazon.com`)
- United Kingdom (`amazon.co.uk`)
- Germany (`amazon.de`)
- France (`amazon.fr`)
- Spain (`amazon.es`)
- Italy (`amazon.it`)
- Canada (`amazon.ca`)
- Australia (`amazon.com.au`)

***

### Input Example

```json
{
  "searchQueries": [
    "mechanical keyboard"
  ],
  "marketplace": "amazon.com",
  "maxItemsPerQuery": 40,
  "excludeSponsored": false,
  "onlyDeals": false
}
```

***

### Output Example

```json
{
  "asin": "B08N5WRWNW",
  "searchQuery": "mechanical keyboard",
  "marketplace": "amazon.com",
  "position": 1,
  "title": "Wireless Mechanical Gaming Keyboard 75% Hot Swappable...",
  "url": "https://www.amazon.com/dp/B08N5WRWNW",
  "price": 49.99,
  "priceRaw": "$49.99",
  "listPrice": 69.99,
  "discountPct": 28.6,
  "currencySymbol": "$",
  "rating": 4.6,
  "reviewCount": 3420,
  "boughtPastMonth": "2K+ bought in past month",
  "isPrime": true,
  "isBestSeller": true,
  "isAmazonChoice": false,
  "isSponsored": false,
  "queryMedianPrice": 59.99,
  "priceVsMedianPct": -16.7,
  "isDealOpportunity": true
}
```

# Actor input Schema

## `searchQueries` (type: `array`):

Keywords to search on Amazon (e.g., 'wireless earbuds', 'mechanical keyboard').

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

Target Amazon marketplace country domain.

## `maxItemsPerQuery` (type: `integer`):

Maximum number of products to extract per keyword.

## `excludeSponsored` (type: `boolean`):

Filter out paid sponsored product placements if enabled.

## `onlyDeals` (type: `boolean`):

Only return products with an active discount or priced at least 20% below the query median price.

## `proxyConfiguration` (type: `object`):

Optional Apify Proxy configuration.

## Actor input object example

```json
{
  "searchQueries": [
    "mechanical keyboard"
  ],
  "marketplace": "amazon.com",
  "maxItemsPerQuery": 40,
  "excludeSponsored": false,
  "onlyDeals": false,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `overview` (type: `string`):

No description

# 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 = {
    "searchQueries": [
        "mechanical keyboard"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("lepone31/amazon-product-intelligence").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 = { "searchQueries": ["mechanical keyboard"] }

# Run the Actor and wait for it to finish
run = client.actor("lepone31/amazon-product-intelligence").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "searchQueries": [
    "mechanical keyboard"
  ]
}' |
apify call lepone31/amazon-product-intelligence --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,lepone31/amazon-product-intelligence"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/1d2xypgDRE4HfK4gk/builds/Lrjxx49DVn4xJeXJI/openapi.json