# Amazon Product Monitor (price, buy box, stock, variants) (`datahamster/amazon-product-monitor`) Actor

Amazon product data by ASIN, URL or keyword: price, list price, buy-box seller, fulfilment, Prime, availability, rating, reviews count, bought-in-past-month, variant ASINs. 14 marketplaces, delivery zip without surcharge, monitor mode for price/stock changes. No reviews text.

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

## Pricing

from $3.00 / 1,000 result items

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/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 Product Monitor (price, buy box, stock, variants)

Product data from Amazon by ASIN, product URL or search keyword, in one flat row per product, with a monitor mode that reports only price, seller, stock or rating changes. Built for price tracking, brand protection (who holds the buy box), catalogue enrichment and Zapier/Make automations.

### What you get

`id` (ASIN), `url`, `marketplace`, `title`, `price`, `currency`, `listPrice`, `buyBoxSeller`, `fulfilledBy`, `isPrime`, `availability`, `rating`, `reviewCount`, `boughtPastMonth`, `variantIds[]`, `image`, `sponsored` (search rows), `scrapedAt`. No review texts (Amazon keeps them behind login).

### Input

- `asins` / `urls`: product pages, full detail per product.
- `keywords`: search pages (`searchPages` per keyword, Amazon caps at ~7); set `fetchDetailsForSearch` to open each hit for buy box and variants.
- `marketplace`: com, co.uk, de, ca, fr, it, es, com.au, co.jp, in, com.mx, nl, se, pl.
- `zipCode`: best-effort delivery location for location-dependent prices — **no extra charge** for it.
- `maxItems`; `mode: monitor` on a saved Task returns only changed products (`changedFields`, `previous`).

### Pricing

| Event | Price |
|---|---|
| result | $0.003 per product ($3 per 1,000) |
| monitor-check | $0.009 per monitor run |
| change | $0.003 per changed product |

Charged only for products actually pushed. Robot-check pages are not charged; three in a row end the run with reason `blocked`.

### Limits

- Runs through Apify residential proxy with a Chrome TLS fingerprint; proxy traffic is billed by Apify at platform rates (product pages are ~1.5 MB each).
- Throughput ~1 product/second per run; use several runs for large catalogues.
- `boughtPastMonth` and `listPrice` appear only where Amazon shows them; `isPrime` is detected from the buy box and may be null.
- `zipCode` is best effort: if Amazon rejects the location change the run continues with the default location.

### Changelog

- 0.1: initial release — product pages, search pages, 14 marketplaces, monitor mode.

# Actor input Schema

## `asins` (type: `array`):

Product ASINs

## `urls` (type: `array`):

Amazon product URLs (ASIN is extracted)

## `keywords` (type: `array`):

Search queries; returns search-result rows (use fetchDetailsForSearch for buy box/variants)

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

amazon.<marketplace>

## `zipCode` (type: `string`):

Best-effort delivery location for location-dependent prices. No extra charge.

## `searchPages` (type: `integer`):

Amazon caps search at about 7 pages

## `fetchDetailsForSearch` (type: `boolean`):

Adds buy-box seller, availability and variants to search rows (one extra request per hit)

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

Stop after this many results (you are charged only for pushed items)

## `mode` (type: `string`):

scrape = full results; monitor = only new/changed items since the previous run of this task

## `monitorKey` (type: `string`):

Optional state key when not running as a saved task

## `webhookUrl` (type: `string`):

POST a change summary here in monitor mode

## `telegramBotToken` (type: `string`):

Telegram bot token

## `telegramChatId` (type: `string`):

Telegram chat id

## Actor input object example

```json
{
  "asins": [
    "B0CHX3QBCH"
  ],
  "marketplace": "com",
  "searchPages": 3,
  "fetchDetailsForSearch": false,
  "maxItems": 100,
  "mode": "scrape"
}
```

# Actor output Schema

## `results` (type: `string`):

All pushed rows (dataset, JSON)

## `resultsTable` (type: `string`):

Dataset in the Console viewer

## `runSummary` (type: `string`):

RUN\_SUMMARY record (pushed, skipped, emptyReason)

# 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 = {
    "asins": [
        "B0CHX3QBCH"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("datahamster/amazon-product-monitor").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 = { "asins": ["B0CHX3QBCH"] }

# Run the Actor and wait for it to finish
run = client.actor("datahamster/amazon-product-monitor").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 '{
  "asins": [
    "B0CHX3QBCH"
  ]
}' |
apify call datahamster/amazon-product-monitor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,datahamster/amazon-product-monitor"
        }
    }
}

```

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/csXrAU8nBairZNmYn/builds/6dMKTvqTFcDMfvWsE/openapi.json