# Amazon Product Scraper — Prices, Ratings & ASINs (No API Key) (`jamhimself/amazon-search-scraper`) Actor

Scrape Amazon search results into structured product data — prices, ratings, review counts, ASINs, images. No API key, no login, bulk, pay per result. For devs, analysts & AI pipelines.

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

## Pricing

$5.00 / 1,000 product 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 Product Scraper — Prices, Ratings & ASINs (No API Key)

Scrape Amazon search results into clean, structured product data — no API key, no login. This Amazon scraper turns any Amazon.com search query into a bulk dataset of prices, ratings, review counts, ASINs, and product image URLs. Built for developers, analysts, and AI pipelines that need Amazon product data extraction without maintaining a scraper or reverse-engineering an Amazon search API. Pay per result.

Under the hood it uses Chrome TLS impersonation, residential US proxies, and automatic session rotation to clear anti-bot walls — so you scrape Amazon without an API and without managing proxies or logins yourself.

### ⚡ Quick start

Paste this into the Actor's **Input** (JSON view) and hit **Start**:

```json
{
  "searchQuery": "mechanical keyboard",
  "maxResults": 40
}
```

Each result row looks like:

```json
{
  "asin": "B09TVQKJ3P",
  "title": "Keychron K8 Pro Wireless Mechanical Keyboard, Hot-swappable, RGB Backlight",
  "price": 74.99,
  "currency": "USD",
  "rating": 4.6,
  "reviewCount": 12483,
  "sponsored": false,
  "url": "https://www.amazon.com/dp/B09TVQKJ3P"
}
```

Or run it from the API:

```
POST https://api.apify.com/v2/acts/jamhimself~amazon-search-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN
```

### What you get

| Field | Description |
|---|---|
| `title` | Product title |
| `price` / `priceRaw` / `currency` | Price (numeric and as shown) |
| `rating` | Average star rating |
| `reviewCount` | Number of ratings |
| `image` | Product image URL |
| `asin` | Amazon ASIN |
| `sponsored` | Whether the result is a sponsored placement |
| `url` | Amazon product page |

### Use cases

- **Amazon price scraper / price tracking** — pull current prices across a keyword to monitor changes over time.
- **Competitor & MAP monitoring** — track rival listings, star ratings, and review counts in a category.
- **Market & product research** — size demand and compare offers for a search term.
- **Sourcing & dropshipping** — build shortlists of products by ASIN, price, and rating.
- **Feed an LLM / RAG pipeline** — hand structured Amazon product data to an AI workflow.
- **Dataset building** — assemble a clean product dataset for analysis or ML.

### Input

- **searchQuery** — what to search Amazon.com for. Example prefill: `wireless earbuds` (or `standing desk`, `protein powder`).
- **maxResults** — maximum number of products to return; paginates automatically. Default `60`, up to `1000`.

### Pricing

Pay per product delivered. No subscription.

*A quick review on the Apify Store really helps other builders find it.*

# Actor input Schema

## `searchQuery` (type: `string`):

What to search Amazon.com for, e.g. "wireless earbuds", "standing desk", "protein powder".

## `maxResults` (type: `integer`):

Maximum number of products to return (paginates automatically).

## Actor input object example

```json
{
  "searchQuery": "wireless earbuds",
  "maxResults": 60
}
```

# Actor output Schema

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

One row per product.

# 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 = {
    "searchQuery": "wireless earbuds"
};

// Run the Actor and wait for it to finish
const run = await client.actor("jamhimself/amazon-search-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 = { "searchQuery": "wireless earbuds" }

# Run the Actor and wait for it to finish
run = client.actor("jamhimself/amazon-search-scraper").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 '{
  "searchQuery": "wireless earbuds"
}' |
apify call jamhimself/amazon-search-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/bvAl5CdD8AI8PlR8s/builds/0TohfbgashWGl9A1Y/openapi.json