# Amazon Price & Availability Tracker (`tuhin/amazon-price-tracker`) Actor

Track Amazon product price, rating, review count, buy-box and availability — with change detection across scheduled runs.

- **URL**: https://apify.com/tuhin/amazon-price-tracker.md
- **Developed by:** [Tuhin](https://apify.com/tuhin) (community)
- **Categories:**
- **Stats:** 1 total users, 0 monthly users, 57.1% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 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.

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 Price & Availability Tracker

**Track Amazon product price, rating, review count and stock — and get alerted when they change.**

Give it ASINs (or search keywords) and it returns clean product data, and on scheduled runs detects **price drops**, **back-in-stock**, **out-of-stock**, and **new reviews**.

> **Requires Residential proxy** (kept on by default) — Amazon blocks datacenter traffic. Public product-page data only; no login, no gated reviews.

### Input

| Field | Description |
|-------|-------------|
| `asins` | ASINs or product URLs to track. |
| `searchKeywords` | Optionally discover products by search term. |
| `domain` | Marketplace: `com`, `co.uk`, `de`, `fr`, … |
| `maxProductsPerKeyword` | Products taken per search. |
| `previousDatasetId` | Prior run's dataset → change detection. |
| `proxyConfiguration` | Residential (default, required). |

#### Example

```json
{ "asins": ["B08N5WRWNW"], "domain": "com", "previousDatasetId": "<PREV_DATASET_ID>" }
```

### Output (per product)

```json
{
  "asin": "B08N5WRWNW", "title": "…", "brand": "…",
  "price": 129.99, "currency": "$", "rating": 4.6, "reviewCount": 18234,
  "availability": "In Stock", "inStock": true, "image": "https://…",
  "previousPrice": 139.99, "priceChange": -10.0,
  "changes": ["price-drop"],
  "url": "https://www.amazon.com/dp/B08N5WRWNW", "collectedAt": "2026-08-31T…"
}
```

**Changes:** `price-drop` · `price-increase` · `back-in-stock` · `out-of-stock` · `new-reviews`.

### Scheduling

Schedule daily (or more) and pass the previous run's dataset ID as `previousDatasetId` to build price history and get change alerts. Not affiliated with Amazon.

### Notes

- Uses Residential proxy (billed per GB). Review *text* is gated behind Amazon login and is out of scope — this tracks price/rating/review-count/availability.

# Actor input Schema

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

Amazon ASINs (e.g. "B08XYZ1234") or product URLs to track.

## `searchKeywords` (type: `array`):

Optionally discover products by search term (e.g. "portable ice maker").

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

Which Amazon marketplace.

## `maxProductsPerKeyword` (type: `integer`):

How many products to take from each search.

## `previousDatasetId` (type: `string`):

Dataset ID of a previous run — detects price changes, back-in-stock, and rating changes.

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

Amazon requires Residential proxies to avoid blocking. Keep this on.

## Actor input object example

```json
{
  "asins": [
    "B08N5WRWNW"
  ],
  "searchKeywords": [
    "wireless earbuds"
  ],
  "domain": "com",
  "maxProductsPerKeyword": 20,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

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

One row per product with price, rating, review count and availability (+ changes vs previous 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 = {
    "searchKeywords": [
        "wireless earbuds"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("tuhin/amazon-price-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 = { "searchKeywords": ["wireless earbuds"] }

# Run the Actor and wait for it to finish
run = client.actor("tuhin/amazon-price-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 '{
  "searchKeywords": [
    "wireless earbuds"
  ]
}' |
apify call tuhin/amazon-price-tracker --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,tuhin/amazon-price-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/VKKFJf6EspyyfaxmL/builds/SfgWlZ9UWwL7gHkdV/openapi.json