# Amazon New Listings Scout — Newest Products per Keyword (`primesieve/amazon-new-listings-scout`) Actor

Finds the newest Amazon listings for any keyword or category (newest-first sort). Each result: ASIN, title, price (USD), rating, review count, URL. Ideal for retail arbitrage / online arbitrage — spot fresh listings before competitors. Plain-fetch (no browser) = fast and cheap.

- **URL**: https://apify.com/primesieve/amazon-new-listings-scout.md
- **Developed by:** [Prime Sieve](https://apify.com/primesieve) (community)
- **Categories:** Automation, E-commerce, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 listings

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 New Listings Scout

Find the **newest Amazon listings** for any keyword or category — the freshest products on the marketplace, sorted by date first available.

### Why

Retail arbitrage / online arbitrage sellers hunt for **newly listed products**: fresh listings mean thin competition, few reviews, and pricing gaps that disappear once a product accumulates reviews. This actor returns exactly that signal in one cheap fetch per query — no browser, no API keys.

Each result: `ASIN`, `title`, `price (USD)`, `rating`, `review count`, `url`.

### Input

| Field | Type | Default | Description |
|---|---|---|---|
| `queries` | string\[] | \[] | Keywords, e.g. `["board games", "yoga mat"]`. Leave empty if using categories. |
| `categories` | string\[] | \[] | Amazon department aliases to browse newest listings in, e.g. `["electronics", "toys-and-games", "books", "kitchen", "beauty"]`. Leave empty if using queries. |
| `minPrice` | int | 10 | Minimum price USD (0 = none) |
| `maxPrice` | int | 0 | Maximum price USD (0 = none) |
| `excludeBrands` | string\[] | \[] | Drop titles containing these (e.g. `["amazon basics"]`) |
| `maxResultsPerQuery` | int | 20 | Results per query (max 60) |

### Output

One dataset item per listing:

```json
{
  "query": "board games",
  "asin": "B0FXMRRL2B",
  "title": "Rollacrit, Heroes of Barcadia DE Version Funny Party Game",
  "price": 19.99,
  "currency": "USD",
  "rating": null,
  "reviewCount": null,
  "url": "https://www.amazon.com/dp/B0FXMRRL2B"
}
```

### Pricing

- **$0.002 per listing** (pay-per-event) = **$2.00 per 1,000 listings**
- **5 free searches** per run (a search = one query, up to 20 results)
- `apify-actor-start`: $0.05 covers fixed startup cost

Free-plan users get up to 5 free searches per day.

### Notes

- Results are sorted by newest first (Amazon's `date-desc-rank` sort = newest arrivals).
- Only listings with a visible USD price are returned (new listings without a price yet are skipped).
- `rating` / `reviewCount` are `null` for brand-new listings with no reviews — that's the point: these are fresh products.
- Runs on a plain `fetch` (no headless browser) so it's fast and cheap; Amazon may occasionally throttle — the actor retries automatically.

# Actor input Schema

## `queries` (type: `array`):

Keywords to find newest listings for (e.g. "board games", "yoga mat", "dog toy"). Leave empty if using categories.

## `categories` (type: `array`):

Amazon department aliases to browse newest listings in (e.g. electronics, toys-and-games, books, kitchen, beauty). Leave empty if using queries.

## `minPrice` (type: `integer`):

Only keep listings priced at or above this. 0 = no minimum.

## `maxPrice` (type: `integer`):

Only keep listings priced at or below this. 0 = no maximum.

## `excludeBrands` (type: `array`):

Drop listings whose title contains any of these (case-insensitive). Good for filtering Amazon Basics / house brands.

## `maxResultsPerQuery` (type: `integer`):

How many listings to return per query (max 60).

## Actor input object example

```json
{
  "queries": [
    "board games",
    "yoga mat"
  ],
  "categories": [
    "electronics",
    "toys-and-games"
  ],
  "minPrice": 10,
  "maxPrice": 0,
  "excludeBrands": [
    "amazon basics"
  ],
  "maxResultsPerQuery": 20
}
```

# Actor output Schema

## `listings` (type: `string`):

All saved listing records

# 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 = {
    "queries": [
        "board games",
        "yoga mat"
    ],
    "categories": [
        "electronics",
        "toys-and-games"
    ],
    "excludeBrands": [
        "amazon basics"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("primesieve/amazon-new-listings-scout").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 = {
    "queries": [
        "board games",
        "yoga mat",
    ],
    "categories": [
        "electronics",
        "toys-and-games",
    ],
    "excludeBrands": ["amazon basics"],
}

# Run the Actor and wait for it to finish
run = client.actor("primesieve/amazon-new-listings-scout").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 '{
  "queries": [
    "board games",
    "yoga mat"
  ],
  "categories": [
    "electronics",
    "toys-and-games"
  ],
  "excludeBrands": [
    "amazon basics"
  ]
}' |
apify call primesieve/amazon-new-listings-scout --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,primesieve/amazon-new-listings-scout"
        }
    }
}

```

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/gBvXzeb55y8G3mzWx/builds/REkE4gZtV2ALduuNM/openapi.json