# 🔍 Amazon Search Scraper — Keyword, Category & Autocomplete (`scrape.badger/amazon-search-scraper`) Actor

Scrape Amazon search results by keyword, browse a category node, or get keyword autocomplete suggestions. Returns ASIN, title, price, rating, Prime & badges across 20 marketplaces with auto-pagination and price/sort filters. No login or CAPTCHAs. From $0.08/1K results.

- **URL**: https://apify.com/scrape.badger/amazon-search-scraper.md
- **Developed by:** [ScrapeBadger](https://apify.com/scrape.badger) (community)
- **Categories:** E-commerce, Automation, Developer tools
- **Stats:** 13 total users, 6 monthly users, 94.5% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $0.08 / 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

Scrape **Amazon search results, category listings and keyword autocomplete** — no Amazon login, no CAPTCHAs, no proxies to manage. Powered by [ScrapeBadger](https://scrapebadger.com)'s Amazon API: TLS fingerprinting, residential proxies and AWS WAF bypass are handled for you.

### What it does

| Mode | Input | Returns |
|------|-------|---------|
| **Search** | `query` (+ optional filters) | product results for a keyword search |
| **Category** | `node` (browse-node id) | products listed under a category node |
| **Autocomplete** | `query` (prefix) | Amazon's keyword suggestions |

**Search** and **Category** paginate automatically up to your `max_results`. Filter by `sort_by` (featured, price low→high / high→low, review rank, newest), `category` alias, and `min_price` / `max_price`.

### Data you get (per result)

`position`, `asin`, `title`, `price`, `list_price`, `unit_price`, `rating`, `ratings_total`, `is_prime`, `is_amazons_choice`, `is_sponsored`, `is_best_seller`, `bought_past_month`, `coupon`, `availability`, `image`, `link`. Prices are structured (`value`, `currency`, `symbol`, `raw`). Autocomplete returns `value` (suggestion) + `alias` (department).

### Marketplaces

20 Amazon marketplaces: `com`, `co.uk`, `de`, `fr`, `it`, `es`, `nl`, `se`, `pl`, `ca`, `com.mx`, `com.br`, `co.jp`, `in`, `com.au`, `sg`, `ae`, `sa`, `com.tr`, `eg`.

### Pricing

Pay-per-event — you only pay for what you scrape:

- **Actor start** — $0.001 per run
- **Search result** — $0.00008 each (search, category or autocomplete item)

That's **$0.08 per 1,000 results** — among the cheapest Amazon search scrapers on the Store. No monthly rental, no minimums.

### Example input

```json
{
  "mode": "Search",
  "query": "wireless headphones",
  "domain": "com",
  "sort_by": "review_rank",
  "min_price": "20",
  "max_price": "150",
  "max_results": 200
}
```

### Sample output

```json
{
  "dataType": "product",
  "position": 1,
  "asin": "B0CHWRXH8B",
  "title": "Soundcore by Anker Q20i Hybrid Active Noise Cancelling Headphones",
  "price": { "value": 39.99, "currency": "USD", "symbol": "$", "raw": "$39.99" },
  "rating": 4.5,
  "ratings_total": 18342,
  "is_prime": true,
  "is_amazons_choice": true,
  "link": "https://www.amazon.com/dp/B0CHWRXH8B"
}
```

### Is it legal to scrape Amazon?

Scraping publicly available data is generally legal. This actor only accesses public search and category pages — no login, no personal data. You are responsible for complying with Amazon's Terms of Service and applicable laws in your jurisdiction.

### Want more Amazon scraping options?

Part of the ScrapeBadger Amazon suite:

- **📦 Amazon Product Scraper** — product detail & offers
- **🔍 Amazon Search Scraper** (this actor) — keyword search, category & autocomplete
- **⭐ Amazon Reviews Scraper** — customer reviews
- **🏆 Amazon Bestsellers Scraper** — bestsellers, new releases & deals
- **🏪 Amazon Seller Scraper** — seller profiles, products & feedback

### No setup, no API key headaches

Add your `SCRAPEBADGER_API_KEY` once under **Settings → Environment variables** ([get one free](https://scrapebadger.com)), then pick a mode and run.

### Links

- [ScrapeBadger Amazon API docs](https://docs.scrapebadger.com/amazon/overview)
- [Get an API key](https://scrapebadger.com)

# Actor input Schema

## `mode` (type: `string`):

<b>Search</b> needs a <b>query</b>. <b>Category</b> needs a browse-node <b>node</b> id. <b>Autocomplete</b> needs a <b>query</b> prefix.

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

Keywords to search. REQUIRED for <b>Search</b> and <b>Autocomplete</b>.

## `node` (type: `string`):

Amazon browse-node id to list (e.g. <b>172282</b> for US Electronics). REQUIRED for <b>Category</b>.

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

Amazon marketplace TLD. Determines storefront, currency and locale.

## `sort_by` (type: `string`):

Result ordering. Used by <b>Search</b> and <b>Category</b>.

## `category` (type: `string`):

Optional department/category alias to restrict a keyword <b>Search</b> (e.g. <b>electronics</b>, <b>books</b>).

## `min_price` (type: `string`):

Optional minimum price filter for <b>Search</b> (marketplace currency).

## `max_price` (type: `string`):

Optional maximum price filter for <b>Search</b> (marketplace currency).

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

Maximum number of results to collect across pages. Ignored by Autocomplete.

## `zip` (type: `string`):

Optional delivery location for region-accurate pricing (Search).

## `language` (type: `string`):

Optional Amazon UI locale (e.g. <b>en\_US</b>, <b>de\_DE</b>). Search only.

## Actor input object example

```json
{
  "mode": "Search",
  "query": "wireless headphones",
  "domain": "com",
  "sort_by": "featured",
  "max_results": 100
}
```

# Actor output Schema

## `dataset` (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 = {
    "query": "wireless headphones"
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrape.badger/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 = { "query": "wireless headphones" }

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

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/jC1BT3ZcGbzMx9vYe/builds/5SSk2qa4Ys02w8pfL/openapi.json
