# Amazon Product Scraper: 23 Stores, Search, Prices & Reviews (`zaiq/amazon-product-scraper`) Actor

Amazon search results and product pages in 23 Amazon stores, as a local shopper sees them: price, list price, rating, ratings count, bought in past month, badges, sponsored flag, brand, seller, bullet points, images, category, best sellers rank and the reviews shown.

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

## Pricing

from $3.20 / 1,000 search 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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Amazon Product Scraper: 23 stores, search results, prices and reviews

![Amazon Product Scraper: 23 Stores, Search, Prices & Reviews](https://api.apify.com/v2/key-value-stores/4VJNANhwKgqPpXtAi/records/hero-amazon-product-scraper.jpg)

Get **Amazon search results and product pages in 23 Amazon stores**, exactly as a **shopper in that country** sees them: **price, list price, currency, rating, number of ratings, "bought in past month", Best Seller and Amazon's Choice badges, sponsored placements, Prime**, and on product pages **brand, seller, availability, bullet points, images, category path, best sellers rank, variations and the reviews shown**.

Every request leaves from a residential address in the store's own country, so prices, delivery and stock are the local ones. It covers stores most scrapers skip, including **amazon.co.za, amazon.ae, amazon.sa, amazon.eg, amazon.com.tr and amazon.sg**.

### What you get

| Field | What it holds |
|---|---|
| `asin`, `title`, `url`, `image` | The product |
| `price`, `listPrice`, `currency` | Local price and the was-price |
| `rating`, `ratings` | Star rating and how many ratings |
| `boughtPastMonth` | Amazon's "X bought in past month" (a sales signal) |
| `badges`, `prime`, `sponsored`, `position` | Best Seller, Amazon's Choice, Prime, paid placement, rank on the page |
| Product page: `brand`, `seller`, `availability` | Who sells it and whether it is in stock |
| Product page: `bullets`, `images`, `categories` | The listing content and category path |
| Product page: `bestSellersRank`, `variations` | BSR where shown, and the variants |
| Product page: `reviewsShown` | The reviews on the page: title, stars, date, text, verified |

### What people use it for

- **Price monitoring:** track your and your competitors' prices in every Amazon store you sell in, daily
- **Product research:** find what sells (bought in past month, BSR, badges) before you source it
- **Market entry:** compare one product's price and competition across 23 countries
- **Sponsored ads research:** see who pays for the top positions on your keywords
- **Catalogue and listing audits:** check your own listings' titles, bullets, images and variations
- **Review insight:** pull the reviews shown on competitors' pages

### How to use it

1. Add **searches** (keywords or Amazon search links) and/or **products** (ASINs or links).
2. Pick the **Amazon store** (country).
3. Click **Start**. Searches take seconds; product pages a few seconds each.
4. Download JSON, CSV or Excel, or connect to Sheets, Make, Zapier or your app.

### Input

| Field | Example | Notes |
|---|---|---|
| Searches | `air fryer` | One per line, or Amazon search links |
| Products | `B0CNY1F31S` or a product link | Read in full |
| Amazon store | United States (amazon.com) | 23 stores; a product link names its own |
| Results per search | `48` | Amazon lists about 7 pages |
| Keep sponsored results | on | Include paid placements |

### Output

Each result is one row in the run's dataset (download it as JSON, CSV, Excel, XML or HTML, or read it through the API). An example row (values shortened):

```json
{
  "kind": "product",
  "asin": "B0XXXXXXXX",
  "title": "Compact Air Fryer, 4 Qt",
  "url": "https://www.amazon.com/dp/B0XXXXXXXX",
  "price": 64.99,
  "listPrice": 79.99,
  "currency": "$",
  "rating": 4.6,
  "ratings": 2267,
  "boughtPastMonth": "2K+ bought in past month",
  "badges": [
    "Best Seller"
  ],
  "sponsored": false,
  "position": 3
}
```

A record named `SUMMARY` in the run's key-value store says what each input returned, with any notes (for example an account that does not exist), what was charged and how much traffic the run used.

### Pricing

- **$0.004 per search result** (each product listed in search)
- **$0.03 per product page** read in full
- **$0.08 per browser page**, added when Amazon only serves a page to a real browser (always on amazon.co.za, sometimes elsewhere)
- Products Amazon no longer has, and pages Amazon refused, are free

What typical jobs cost at the list price:

| Job | Cost |
|---|---|
| One search, 48 results (US) | about $0.19 |
| 10 product pages read plainly | $0.30 |
| 10 product pages that need a browser | $1.10 |
| One search on amazon.co.za, 48 results | about $0.27 |

On Apify's Scale and Business plans the per-event prices are lower (Store discounts). Set **Maximum cost per run** and the Actor stops cleanly when it is reached: you never pay more than that.

### Tips

- Search results already hold price, rating, ratings, badges and bought-in-past-month: use product pages only for the products you need in full.
- Run the same search in several stores to compare a product's price and competition across countries.
- Schedule it daily on your ASINs for price and stock monitoring.

### Use it through the API

**Python**

```python
from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("zaiq/amazon-product-scraper").call(run_input={"searches": ["air fryer"], "country": "gb", "maxResultsPerSearch": 20})
for row in client.dataset(run.default_dataset_id).iterate_items():
    print(row)
```

**JavaScript**

```js
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('zaiq/amazon-product-scraper').call({"searches": ["air fryer"], "country": "gb", "maxResultsPerSearch": 20});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
```

**HTTP (one call, results back)**

```bash
curl -X POST 'https://api.apify.com/v2/acts/zaiq~amazon-product-scraper/run-sync-get-dataset-items?token=<YOUR_APIFY_TOKEN>' \
  -H 'Content-Type: application/json' \
  -d '{"searches": ["air fryer"], "country": "gb", "maxResultsPerSearch": 20}'
```

### Integrations and schedules

- **Schedules:** run it every hour, day or week from the Apify Console (Schedules) and keep a history of results.
- **Make, Zapier, n8n, Google Sheets, Slack, Airtable:** connect it through Apify's integrations, or send each finished run to a **webhook**.
- **Datasets:** results stay in the run's dataset; export them or read them by API whenever you need them.

### Use it with AI agents (MCP)

Add Apify's MCP server (`https://mcp.apify.com`) to Claude, ChatGPT, Cursor, VS Code or any MCP client. The agent can find this Actor and run it for you: ask it for "the top 20 air fryers on amazon.co.uk with prices and ratings". AI agents can also pay for runs directly through Apify's agentic payments.

### Limits

- Amazon shows about 7 pages of results for one search.
- Reviews: the ones shown on the product page (Amazon asks for a sign-in to show all).
- Prices are as shown to a signed-out shopper in the store's country.
- Public data only: you are responsible for how you use it under Amazon's terms and the laws that apply to you.

### FAQ

**Do I need an Amazon account?**

No. Pages are read signed out.

**Which stores?**

amazon.com, .co.uk, .de, .fr, .it, .es, .nl, .se, .pl, .com.be, .ie, .ca, .com.mx, .com.br, .com.au, .in, .ae, .sa, .eg, .com.tr, .sg, .co.jp and .co.za.

**Why are some product pages more expensive?**

When Amazon only serves a page to a real browser (always on amazon.co.za, sometimes on other stores) the page is read in one, which costs more to run: $0.08 is added to that page.

**Are prices in the local currency?**

Yes, as the local storefront shows them.

### Related Actors from Zaiq

- [google-trends-scraper](https://apify.com/zaiq/google-trends-scraper): whether demand for a product is rising
- [google-news-scraper](https://apify.com/zaiq/google-news-scraper): news about a brand or product
- [facebook-ads-library-scraper](https://apify.com/zaiq/facebook-ads-library-scraper): the ads competitors run on Meta

### Support

Questions, a site that changed, or a field you need? Open an issue on this Actor's **Issues** tab: we answer there, usually within a day.

***

Also found as: amazon scraper, amazon product scraper, amazon price scraper, amazon search scraper, amazon reviews scraper, amazon best sellers, amazon co za scraper.

# Actor input Schema

## `searches` (type: `array`):

What to search for, one per line (or Amazon search links).

## `products` (type: `array`):

Amazon product links or ASINs, one per line, read in full.

## `country` (type: `string`):

Which Amazon store to search, and for bare ASINs (a product link names its own store).

## `maxResultsPerSearch` (type: `integer`):

Amazon lists about 7 pages of results.

## `sponsored` (type: `boolean`):

Include sponsored (paid) placements in search results.

## Actor input object example

```json
{
  "searches": [
    "air fryer"
  ],
  "country": "us",
  "maxResultsPerSearch": 48,
  "sponsored": true
}
```

# Actor output Schema

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

Dataset: the results.

## `summary` (type: `string`):

What each input returned, and notes.

# 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 = {
    "searches": [
        "air fryer"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("zaiq/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 = { "searches": ["air fryer"] }

# Run the Actor and wait for it to finish
run = client.actor("zaiq/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 '{
  "searches": [
    "air fryer"
  ]
}' |
apify call zaiq/amazon-product-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,zaiq/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/yAX0CXT51Ef7OcbCM/builds/bNqMK4EayMYXuQZvK/openapi.json
