# Amazon Best Sellers Scraper (`axlymxp/amazon-best-sellers-scraper`) Actor

Scrape Amazon Best Sellers & New Releases for any category across 17 marketplaces — rank, ASIN, and full product detail (price, rating + star histogram, images, brand) for every ranked item, including ranks below the fold. Pay only for results.

- **URL**: https://apify.com/axlymxp/amazon-best-sellers-scraper.md
- **Developed by:** [axly](https://apify.com/axlymxp) (community)
- **Categories:** 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 dataset items

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 Best Sellers Scraper

**Track what's selling on Amazon** — scrape the **Best Sellers** and **New Releases** charts for any category, in any of **17 marketplaces**, with each product's **rank** and — unlike basic chart scrapers — **full product detail** (price, rating with star-by-star histogram, images, brand) for **every ranked item**, including the ranks below the visible fold that other scrapers leave blank. Data comes from Amazon's own chart pages and product API, so it's clean, structured, and login-free.

### Who it's for

- **Sellers & brands** watching their category's top ranks and new entrants.
- **Product researchers & sourcing teams** spotting trending, high-demand products.
- **Investors & analysts** tracking category demand and pricing.
- **Retail media & agencies** benchmarking category leaders.

### What you get (output fields)

| Field | Description |
|---|---|
| `rank` | Position in the chart (1 = top) |
| `asin` | Amazon product identifier |
| `title` | Product title |
| `brand` | Brand name |
| `price` / `price_text` / `currency` | Current price (numeric + display) |
| `rating` / `ratings_count` | Average rating and number of ratings |
| `rating_histogram` | % of reviews per star (5→1) |
| `image` / `main_image` / `images` | Product image URLs |
| `sales_rank_change_pct` | 24h sales-rank change when Amazon exposes it (often null on Best Sellers) |
| `list_type` | `bestsellers` or `new-releases` |
| `category` / `marketplace` / `url` | Category, marketplace code, product URL |

### Charts & categories

- **Chart types:** Best Sellers (top 100 by sales) and New Releases (top 100 newest hot products).
- **Categories:** pass slugs like `electronics`, `books`, `toys-and-games`, `home-garden`, `beauty`, or a node path like `electronics/172282`. You can also paste a full Best Sellers URL.
- **Marketplaces:** US, UK, CA, DE, FR, ES, IT, JP, IN, AU, MX, BR, NL, SE, PL, AE, SG.

### Example input

```json
{
  "listTypes": ["bestsellers", "new-releases"],
  "categories": ["electronics", "books"],
  "marketplace": "US",
  "maxItems": 100,
  "enrich": true
}
```

### Example output (one row)

```json
{
  "rank": 1,
  "asin": "B08JHCVHTY",
  "title": "Blink Plus Plan",
  "brand": "Blink",
  "price": 11.99,
  "currency": "USD",
  "rating": 4.4,
  "ratings_count": 280572,
  "rating_histogram": { "5": 76, "4": 12, "3": 5, "2": 2, "1": 5 },
  "sales_rank_change_pct": null,
  "list_type": "bestsellers",
  "category": "electronics",
  "marketplace": "US",
  "url": "https://www.amazon.com/dp/B08JHCVHTY"
}
```

### Scheduling & webhooks

Schedule a **daily run** to build a time series of category ranks and prices, and use a **webhook** to push each dataset into your warehouse, Google Sheets, or Slack when the run finishes — ideal for trend dashboards and rank-tracking.

### Use it from AI assistants (MCP)

Output is standard JSON, so it drops straight into AI/agent pipelines and the Apify MCP server — ask an agent "what's trending in Home & Kitchen on Amazon UK today" and get a ranked, priced list back.

### FAQ

**Which charts are supported?** Best Sellers and New Releases, which Amazon serves as full HTML rankings. (Movers & Shakers / Most Wished For are rendered only after in-page scripts run and are not included.)

**How many products per chart?** Up to the top 100 (two pages of 50). Set `maxItems` to fetch fewer.

**What is "enrich"?** With enrichment on (default), every ranked ASIN — including ones below the visible fold — is filled with price, rating histogram, images and brand from Amazon's product API. Turn it off for a faster rank-only run.

**Do I need an Amazon account or API key?** No.

**How fresh is the data?** Live at request time; sales-rank movement reflects Amazon's own 24-hour comparison.

**Is scraping this legal?** The actor collects publicly available ranking data. You are responsible for using it in line with Amazon's terms and applicable law.

# Actor input Schema

## `listTypes` (type: `array`):

Which Amazon charts to scrape. Best Sellers = top 100 by sales; New Releases = top 100 newest hot products.

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

Category slugs or paths (e.g. 'electronics', 'books', 'toys-and-games', or a node path like 'electronics/172282'). You can also paste a full Best Sellers URL. Leave the default for the overall chart's top category.

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

Amazon marketplace. Charts, prices and currency are marketplace-specific.

## `maxItems` (type: `integer`):

How many ranked products to return per chart+category (1–100; charts hold up to 100 = the top-100 ranking).

## `enrich` (type: `boolean`):

Fetch price, rating + star histogram, images and brand for every ranked item via Amazon's product API. Turn off for a faster, rank-only run (still includes rank, ASIN, and 24h sales-rank movement).

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

Proxy settings. Datacenter Apify Proxy is enough and is enabled by default; you can disable it or supply your own.

## Actor input object example

```json
{
  "listTypes": [
    "bestsellers"
  ],
  "categories": [
    "electronics",
    "books"
  ],
  "marketplace": "US",
  "maxItems": 100,
  "enrich": true,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `products` (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 = {
    "categories": [
        "electronics"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("axlymxp/amazon-best-sellers-scraper").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 = { "categories": ["electronics"] }

# Run the Actor and wait for it to finish
run = client.actor("axlymxp/amazon-best-sellers-scraper").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 '{
  "categories": [
    "electronics"
  ]
}' |
apify call axlymxp/amazon-best-sellers-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,axlymxp/amazon-best-sellers-scraper"
        }
    }
}
```

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/qLT33uoVFTgEgbxrK/builds/ggLk2JKegOaJ9ZeBj/openapi.json