# Amazon Price & Stock Scraper (`listingdetective/amazon-product-scraper`) Actor

Scrape price, title, rating, reviews, images, bullet points and stock status for any Amazon product. Supports bulk input — up to 1,000 ASINs per run across 20+ marketplaces.

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

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage

## 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 Scraper

Scrape **price, title, rating, reviews, images, bullet points, and stock status** for any Amazon product. Supports bulk input — up to 1,000 ASINs per run.

### What data you get

| Field | Example |
|-------|---------|
| **ASIN** | B09V3KXJPB |
| **Title** | Apple iPad Air (5th Generation)... |
| **Price** | $449.00 |
| **Rating** | 4.8 out of 5 stars |
| **Reviews** | (13,470) |
| **Availability** | In Stock |
| **Bullet Points** | Feature list from the product page |
| **Categories** | Electronics > Computers > Tablets |
| **Images** | All product image URLs |
| **Top Reviews** | Most helpful customer reviews |

### How to use

1. **Paste your ASINs** — one per line, or comma-separated
2. **Click Start** — the actor processes them in batches of 20
3. **Download results** — as JSON, CSV, or Excel from the Dataset tab

### Input example

```json
{
    "asins": ["B09V3KXJPB", "B0CHXC9FMG", "B0D5B7YWR4"],
    "batchSize": 20,
    "retryFailed": true
}
```

### Pricing

Pay only for what you use. Typical cost: **~$2 per 1,000 ASINs**.

### Use cases

- **Price monitoring** — track competitor prices daily
- **Product research** — bulk analyze products before sourcing
- **Listing audits** — check your own listings for missing data
- **Market analysis** — compare pricing across categories
- **Review monitoring** — track ratings and review counts over time

# Actor input Schema

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

List of Amazon ASINs to scrape (e.g., B09V3KXJPB). Up to 1,000 per run.

## `batchSize` (type: `integer`):

ASINs processed per batch request. Lower = slower but more reliable.

## `retryFailed` (type: `boolean`):

Retry ASINs that failed on the first attempt.

## Actor input object example

```json
{
  "asins": [
    "B09V3KXJPB",
    "B0CHXC9FMG"
  ],
  "batchSize": 20,
  "retryFailed": true
}
```

# Actor output Schema

## `results` (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 = {
    "asins": [
        "B09V3KXJPB",
        "B0CHXC9FMG"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("listingdetective/amazon-product-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 = { "asins": [
        "B09V3KXJPB",
        "B0CHXC9FMG",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("listingdetective/amazon-product-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 '{
  "asins": [
    "B09V3KXJPB",
    "B0CHXC9FMG"
  ]
}' |
apify call listingdetective/amazon-product-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,listingdetective/amazon-product-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/3tbyJy1sZfXQdfRae/builds/CPlFvSaX5qymcM01i/openapi.json