# Amazon Bestsellers Scraper (`velvety_bedbug/amazon-bestsellers-scraper`) Actor

Scrape Amazon's Best Sellers, New Releases, Most Wished For and Most Gifted charts for any category and any of 13 Amazon marketplaces: rank, ASIN, title, price, rating, review count, image and URL.

- **URL**: https://apify.com/velvety\_bedbug/amazon-bestsellers-scraper.md
- **Developed by:** [Peters Bugs](https://apify.com/velvety_bedbug) (community)
- **Categories:** E-commerce, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.50 / 1,000 products

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?

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 Best Sellers Scraper — top 100 by category, 4 charts, 13 countries

Scrape Amazon's ranked charts: **Best Sellers**, **New Releases**, **Most Wished For** and **Most
Gifted** — for any category or sub-category, on any of 13 Amazon
marketplaces. Each product comes with its rank, ASIN, title, price, star rating, review count, image
and URL. No login, no browser; residential proxy included.

### Input

| Field | Default | Notes |
|---|---|---|
| `category` | `electronics` | Slug or node path from the chart URL: `books`, `beauty`, `toys-and-games`, `electronics/172282`… Empty = all departments |
| `listType` | `bestsellers` | `bestsellers`, `new-releases`, `most-wished-for`, `most-gifted` |
| `domain` | `com` | `com`, `co.uk`, `de`, `fr`, `it`, `es`, `ca`, `com.au`, `co.jp`, `in`, `com.mx`, `nl`, `se` |
| `maxItems` | `10` | Up to 100 (Amazon shows 2 pages of 50) |

### Output

```json
{
  "rank": 1,
  "asin": "B08JHCVHTY",
  "title": "Blink Plus Plan with monthly auto-renewal",
  "url": "https://www.amazon.com/Blink-Plus-Plan-monthly-auto-renewal/dp/B08JHCVHTY",
  "price": 11.99, "priceText": "$11.99", "currency": "USD",
  "rating": 4.4, "reviewCount": 279905,
  "imageUrl": "https://images-na.ssl-images-amazon.com/images/I/31YHGbJsldL._AC_UL300_SR300,200_.png",
  "listType": "bestsellers", "listTitle": "Amazon Best Sellers", "category": "electronics", "categoryName": "Electronics", "domain": "amazon.com",
  "scrapedAt": "2026-09-06T19:30:00.000Z"
}
```

### Use cases

Product research and trend spotting, competitor tracking by category, sourcing for FBA and
dropshipping, market-share monitoring across countries, and price benchmarking of category leaders.

### Notes

- Find category slugs in the chart URL on Amazon: `amazon.com/gp/bestsellers/<slug>/`.
- Movers & Shakers is not offered: Amazon renders that chart client-side, so its products are not in the page.
- Amazon occasionally serves a captcha page; the actor detects it and retries on a fresh residential IP.

# Actor input Schema

## `category` (type: `string`):

Category slug or node ID from the Best Sellers URL, e.g. electronics, books, beauty, toys-and-games, or electronics/172282. Leave empty for the all-departments list.

## `listType` (type: `string`):

Which Amazon chart to scrape.

## `domain` (type: `string`):

Which Amazon marketplace.

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

Each chart lists 100 products (2 pages of 50).

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

Residential proxy is required.

## Actor input object example

```json
{
  "category": "electronics",
  "listType": "bestsellers",
  "domain": "com",
  "maxItems": 10,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}
```

# Actor output Schema

## `records` (type: `string`):

Dataset of ranked products (JSON).

# 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("velvety_bedbug/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 = {}

# Run the Actor and wait for it to finish
run = client.actor("velvety_bedbug/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 '{}' |
apify call velvety_bedbug/amazon-bestsellers-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,velvety_bedbug/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/pK5YOkKqc6jTzrlRd/builds/QmY2RckUda8iRfktJ/openapi.json