# Amazon Search Scraper (`good-apis/amazon-search`) Actor

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

## Pricing

$1.50 / 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/platform/actors/running/actors-in-store#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 Search Scraper

Search Amazon by keyword and get back a clean list of products — **ASIN, title, price, star rating, rating count, a thumbnail image, and the product URL**, plus each product's position on the results page and whether it is a sponsored placement. No login, no proxies to configure, no browser to manage.

Give it a keyword (or a full Amazon search URL); each product comes back as one dataset row.

**Pricing: $1.50 per 1,000 products** (pay per result). You are only charged for products actually returned (0 on an empty search) — no monthly rental.

### What you get

Every product returns:

| Field | Description |
|---|---|
| `position` | Rank of the product on the search results (1 = first) |
| `asin` | Amazon product id |
| `title` | Product title |
| `price` | Price as shown (e.g. `$249.99`) |
| `price_value` | Price as a number (e.g. `249.99`) |
| `currency` | Currency code (e.g. `USD`) |
| `rating` | Average star rating, 1-5 |
| `review_count` | Number of ratings |
| `sponsored` | Whether the placement is a sponsored/ad result |
| `image` | Product thumbnail image URL |
| `url` | Canonical Amazon product URL |

### Input

| Field | Required | Description |
|---|---|---|
| `query` | ✓\* | A search keyword or phrase (e.g. `laptop`). |
| `url` | ✓\* | Alternatively, a full Amazon search URL (e.g. `https://www.amazon.com/s?k=laptop`). |
| `max_results` | | How many products to return (default 20; pages further above ~40). |

\*Provide either `query` or `url`.

```json
{ "query": "coffee maker", "max_results": 40 }
```

### Notes & limits

- Results reflect the **US** Amazon catalog (residential US proxying is handled server-side).
- Search results mix organic and sponsored placements exactly as Amazon returns them; the `sponsored` flag marks the ads.
- This is an unofficial scraper and is not affiliated with Amazon.

# Actor input Schema

## `query` (type: `string`):

What to search for on Amazon — a keyword or phrase, e.g. 'laptop', 'coffee maker', or 'wireless headphones'.

## `url` (type: `string`):

Optional: a full Amazon search-results URL (e.g. 'https://www.amazon.com/s?k=laptop') to use instead of a keyword.

## `max_results` (type: `integer`):

How many products to return (default 20). Above ~40 the scraper pages through Amazon's results to gather more.

## Actor input object example

```json
{
  "query": "laptop",
  "max_results": 20
}
```

# Actor output Schema

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

All scraped items in the default dataset.

# 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 = {
    "query": "laptop",
    "max_results": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("good-apis/amazon-search").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 = {
    "query": "laptop",
    "max_results": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("good-apis/amazon-search").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "query": "laptop",
  "max_results": 20
}' |
apify call good-apis/amazon-search --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=good-apis/amazon-search",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/I2OZ06sXqDVmqvs5J/builds/3In9T92uQWhd7vmOx/openapi.json