# Amazon Best Sellers Scraper & Rank Tracker: Top 100 (`scrapemint/amazon-bestsellers-rank-tracker`) Actor

Amazon.com Best Sellers, New Releases, Movers & Shakers, Most Wished For and Gift Ideas top 100 for any category: rank, ASIN, title, price, rating, reviews and image, with rank changes, new entries and drop-outs since your last run.

- **URL**: https://apify.com/scrapemint/amazon-bestsellers-rank-tracker.md
- **Developed by:** [Ken M](https://apify.com/scrapemint) (community)
- **Categories:** E-commerce, Marketing
- **Features:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.50 / 1,000 ranked 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?

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 & Rank Tracker: Top 100

**Amazon.com's Best Sellers and Hot New Releases top 100 for any category, with what moved since your last run.** Pick departments or paste any subcategory list URL and get one row per ranked product:

- **The rank:** list, category, rank 1-100
- **The product:** ASIN, title, price, star rating, review count, image, product URL
- **Best Sellers Rank** and its category from the product page (for ranks Amazon does not render on the list)
- **Tracking:** `previousRank`, `rankChange` and `isNewEntry` versus your last run, plus a list of products that **dropped out** in the run summary

Schedule it daily to see what is climbing, what is new in the top 100 and what fell off, for product research, competitor watching or trend reports.

### What you get

`list`, `category`, `categoryUrl`, `rank`, `asin`, `title`, `price`, `priceText`, `rating`, `reviews`, `image`, `url`, `bestSellersRank`, `bestSellersRankCategory`, `previousRank`, `rankChange`, `isNewEntry`, `lastCheckedAt`, `scrapedAt`

### Example input

Best Sellers and New Releases top 100 in two departments:

```json
{
  "categories": ["kitchen", "electronics"],
  "lists": ["best-sellers", "new-releases"]
}
```

A subcategory, plus every subcategory one level below a department:

```json
{
  "categoryUrls": ["https://www.amazon.com/Best-Sellers-Kitchen-Dining-Bakeware/zgbs/kitchen/289668"],
  "categories": ["pet-supplies"],
  "includeSubcategories": true,
  "maxRank": 50
}
```

### Example output

```json
{
  "list": "new-releases",
  "category": "Electronics",
  "categoryUrl": "https://www.amazon.com/gp/new-releases/electronics",
  "rank": 46,
  "asin": "B0H87DRN2H",
  "title": "Anker Laptop Smart Display Charger, 100W Max USB C Charger for MacBook Pro",
  "price": 59.99,
  "priceText": "$59.99",
  "rating": 4.9,
  "reviews": 53,
  "image": "https://m.media-amazon.com/images/I/61NnIYEfXQL._AC_SL1500_.jpg",
  "url": "https://www.amazon.com/dp/B0H87DRN2H",
  "bestSellersRank": 42,
  "bestSellersRankCategory": "Computers & Accessories",
  "previousRank": 46,
  "rankChange": 0,
  "isNewEntry": false
}
```

### Uses

- **Product research for sellers:** what sells and what is newly hot in a niche
- **Brands and agencies:** daily rank of your products and competitors in their categories
- **Trend reports:** new entries and fast climbers across departments
- **Pair it with** [Amazon Seller Leads](https://apify.com/scrapemint/amazon-seller-leads) to find the third-party sellers behind the bestsellers

### Notes

- Department slugs: kitchen, electronics, beauty, toys-and-games, sporting-goods, pet-supplies, hpc (health), books, fashion, home-garden, baby-products, office-products, automotive, tools, grocery and more. For anything deeper, paste the list URL.
- Amazon renders details for about the first 30 ranks; **Fill details** reads product pages for the rest. A few rows can stay without a price if the product page shows none.
- Movers & Shakers, Most Wished For and Gift Ideas are not supported: Amazon loads those lists with a script.
- Rank history lives in a key-value store named `amazon-bestsellers-history` in your own account.

### Pricing

- **$0.0015** per ranked product (a full top 100 is $0.15)
- No start fee.

# Actor input Schema

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

Amazon department slugs, one per line, e.g. kitchen, electronics, beauty, toys-and-games, sporting-goods, pet-supplies, hpc (health), books. For subcategories, paste URLs below.

## `categoryUrls` (type: `array`):

Any Amazon.com Best Sellers or New Releases URL, including subcategories, e.g. https://www.amazon.com/Best-Sellers-Kitchen-Dining-Bakeware/zgbs/kitchen/289668.

## `lists` (type: `array`):

Which Amazon lists to read for each category above.

## `maxRank` (type: `integer`):

How deep to read each list (Amazon shows up to 100).

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

Also read every subcategory one level below each category (e.g. Kitchen & Dining -> Bakeware, Cookware...). Each is its own top 100.

## `fillDetails` (type: `boolean`):

Amazon's list page only shows title, price and rating for about the first 30 ranks; this reads the product page for the rest. Off = those rows have ASIN and rank only.

## `trackChanges` (type: `boolean`):

Remember each list's ranks and add previousRank, rankChange and isNewEntry; the run summary lists products that dropped out. History lives in your named key-value store amazon-bestsellers-history.

## Actor input object example

```json
{
  "categories": [
    "kitchen"
  ],
  "lists": [
    "best-sellers"
  ],
  "maxRank": 100,
  "includeSubcategories": false,
  "fillDetails": true,
  "trackChanges": true
}
```

# Actor output Schema

## `products` (type: `string`):

List, category, rank, ASIN, title, price, rating, reviews, image and rank change since the last run.

## `summary` (type: `string`):

Products per list, and products that dropped out since the last run.

# 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": [
        "kitchen"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapemint/amazon-bestsellers-rank-tracker").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": ["kitchen"] }

# Run the Actor and wait for it to finish
run = client.actor("scrapemint/amazon-bestsellers-rank-tracker").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": [
    "kitchen"
  ]
}' |
apify call scrapemint/amazon-bestsellers-rank-tracker --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapemint/amazon-bestsellers-rank-tracker"
        }
    }
}
```

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/ow53AtubWfxZKhVEt/builds/Vi4tJhkNGw9MLiITk/openapi.json