# Amazon Best Sellers Scraper — Top 100 & New Releases (`maged120/amazon-bestsellers-scraper`) Actor

Scrape the Amazon Best Sellers and New Releases top 100 for any category and marketplace: rank, ASIN, title, price, rating, review count and image.

- **URL**: https://apify.com/maged120/amazon-bestsellers-scraper.md
- **Developed by:** [Maged](https://apify.com/maged120) (community)
- **Categories:** E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $6.00 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

**Scrape Amazon's Best Sellers and New Releases top 100** for any category on 15 Amazon marketplaces — rank, ASIN, title, **price, rating, review count** and image, refreshed as often as you like.

### What does Amazon Best Sellers Scraper do?

Amazon Best Sellers Scraper collects the ranked product lists that [Amazon](https://www.amazon.com) updates every hour: **Best Sellers** (the top-selling products in a category) and **New Releases** (the best-selling new products). For each list it returns **all 100 ranks** with **rank, ASIN, product title, price, rating, number of ratings, image URL, product URL and category name**. You can enter category slugs, paste list URLs directly, and optionally include every sub-category.

Running on Apify gives you scheduling, an API and integrations with Google Sheets, Airtable, Zapier, Make and webhooks, so you can build a daily best-seller history automatically.

### Why use Amazon Best Sellers Scraper?

- **Product research for FBA and e-commerce** — find what sells right now in any niche.
- **Trend spotting** — catch rising new releases before competitors do.
- **Price and rating benchmarks** — compare top sellers' prices and review counts in a category.
- **Brand and category monitoring** — track your products' best-seller ranks daily.
- **Market sizing** — compare categories across marketplaces (US, UK, Germany, India and more).

### How to scrape Amazon Best Sellers

1. Click **Try for free**.
2. Enter **Categories** (e.g. `electronics`, `kitchen`, `beauty`) or paste **List URLs**.
3. Pick the **Lists** (Best Sellers and/or New Releases) and the **Marketplace**.
4. Click **Start** and download the rankings as CSV, Excel or JSON.

### Input

| Field | Description |
|---|---|
| `categories` | Category slugs from Amazon list URLs, e.g. `electronics`, `toys-and-games`, `electronics/172541`. |
| `listTypes` | `bestsellers`, `new-releases`. |
| `listUrls` | Any Best Sellers / New Releases URL, pasted directly. |
| `marketplace` | US, UK, DE, CA, FR, IT, ES, IN, JP, AU, MX, BR, NL, AE, SA. |
| `top100` | All 100 ranks (on) or top 50 (off). |
| `includeSubcategories` | Also scrape every direct sub-category. |

### Output

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

```json
{
    "listType": "bestsellers",
    "category": "Best Sellers in Electronics",
    "rank": 1,
    "asin": "B08JHCVHTY",
    "title": "Blink Plus Plan with monthly auto-renewal",
    "price": 11.99,
    "priceText": "$11.99",
    "rating": 4.4,
    "reviewCount": 280900,
    "imageUrl": "https://images-na.ssl-images-amazon.com/images/I/31YHGbJsldL._AC_UL300_SR300,200_.png",
    "url": "https://www.amazon.com/dp/B08JHCVHTY",
    "listUrl": "https://www.amazon.com/gp/bestsellers/electronics"
}
```

### Data fields

| Field | Meaning |
|---|---|
| `rank` | Position in the list (1–100) |
| `asin`, `title`, `url`, `imageUrl` | Product |
| `price`, `priceText` | Current price (number and as shown) |
| `rating`, `reviewCount` | Star rating and number of ratings |
| `category`, `listType`, `listUrl` | Which list it came from |

Views: **Rankings** and **Details**.

### How many results will I get?

Up to 100 rows per list (50 with `top100` off). Two lists × 10 categories = up to 2,000 rows. Turning on sub-categories multiplies this by the number of sub-categories.

### Tips

- Schedule the Actor hourly or daily to build your own best-seller rank history.
- Use **New Releases** to spot products gaining traction early.
- Paste a sub-category URL to go straight to a narrow niche.

### FAQ

**Which category slugs can I use?** Open a Best Sellers page on Amazon and copy the part after `/bestsellers/` or `/zgbs/` in the URL — or simply paste the full URL into `listUrls`.

**Is it legal?** It collects publicly visible ranking pages. Use the data in line with Amazon's terms.

**Need Movers & Shakers or product details?** Open an issue in the **Issues** tab.

# Actor input Schema

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

Category slugs as they appear in Amazon list URLs, e.g. electronics, kitchen, beauty, toys-and-games, books, or a sub-category path like electronics/172541.

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

Which ranking lists to scrape for every category.

## `listUrls` (type: `array`):

Paste any Amazon Best Sellers or New Releases URL directly, one per line.

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

Amazon country site used for categories.

## `top100` (type: `boolean`):

Scrape all 100 ranks of each list. Turn off for the top 50 only.

## `includeSubcategories` (type: `boolean`):

Also scrape the same list for every direct sub-category.

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

The default works well. Switch to residential proxies if lists fail.

## Actor input object example

```json
{
  "categories": [
    "electronics",
    "kitchen"
  ],
  "listTypes": [
    "bestsellers"
  ],
  "marketplace": "US",
  "top100": true,
  "includeSubcategories": false,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `dataset` (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",
        "kitchen"
    ],
    "listTypes": [
        "bestsellers"
    ],
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("maged120/amazon-bestsellers-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",
        "kitchen",
    ],
    "listTypes": ["bestsellers"],
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("maged120/amazon-bestsellers-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",
    "kitchen"
  ],
  "listTypes": [
    "bestsellers"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call maged120/amazon-bestsellers-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,maged120/amazon-bestsellers-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/CHy5POYWeDRSnbTdD/builds/7hKTVFBM7geCd9CrL/openapi.json