# Amazon products Scraper (`ukashamart/amazon-scraper`) Actor

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

## Pricing

from $0.01 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

Searches Amazon for a given term and extracts product listing data.

### Input

| Field      | Type    | Description                                       |
|------------|---------|-----------------------------------------------------|
| searchTerm | string  | e.g. "wireless earbuds"                              |
| domain     | string  | Amazon marketplace domain (default: amazon.com)      |
| maxResults | integer | Max number of products to scrape (default: 10)       |

### Output

```json
{
  "title": "Product name",
  "price": "$29.99",
  "rating": "4.5 out of 5 stars",
  "reviewsCount": "12,345",
  "imageUrl": "https://...",
  "productUrl": "https://www.amazon.com/dp/B0XXXXXXX",
  "asin": "B0XXXXXXX"
}
```

### Local development

```bash
npm install
npx playwright install chromium
apify run --purge
```

Create `storage/key_value_stores/default/INPUT.json` with your test input before running locally, e.g.:

```json
{"searchTerm": "wireless earbuds", "maxResults": 5}
```

### Deploying to Apify

1. Push to GitHub
2. In Apify Console: Create new Actor → Link Git repository
3. Build, then set memory to at least 4096 MB in Settings
4. Set pricing model and publish to Store

### Important notes

- **Amazon actively blocks bots.** This scraper uses Apify Proxy (residential/datacenter rotation)
  to reduce blocking, but CAPTCHAs can still appear occasionally — the actor detects this and logs
  a warning rather than crashing.
- Only scrapes the first page of search results in this version (no pagination yet).
- Amazon's HTML structure changes periodically — CSS selectors in `src/main.js` may need updates.
- Respect Amazon's Terms of Service and applicable laws when using scraped data.

# Actor input Schema

## `searchTerm` (type: `string`):

What to search for on Amazon, e.g. 'wireless earbuds' or 'laptop stand'

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

Which Amazon marketplace to search

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

Maximum number of products to scrape (fetches multiple search-result pages automatically)

## Actor input object example

```json
{
  "searchTerm": "wireless earbuds",
  "domain": "amazon.com",
  "maxResults": 100
}
```

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

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

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

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,ukashamart/amazon-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/MnxS5qEavhMcBYS5j/builds/BgNKZQua40MYOW40C/openapi.json