# DataHarvest - Amazon AU Scraper (`bnb_automation/amazon-au-scraper`) Actor

DataHarvest scrapes Amazon.com.au for price, stock, and title. Apify Proxy (AU), custom proxies, retries, and clean JSON output. Built for Australian marketplace price and inventory tracking.

- **URL**: https://apify.com/bnb\_automation/amazon-au-scraper.md
- **Developed by:** [Bnb Automation](https://apify.com/bnb_automation) (community)
- **Categories:** E-commerce, Automation, Developer tools
- **Stats:** 1 total users, 0 monthly users, 0.0% 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.

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

## DataHarvest — Amazon AU Scraper

Scrapes Amazon.com.au product pages for price, stock, and title. Built for DataHarvest.

### Features

- Price, stock, and title extraction
- Structured dataset output for the Apify Console
- Optional Apify Proxy / custom proxies (where supported)

### Input

Provide a product `url` (and/or `urls` for bulk, where supported).

### Output

Each dataset item includes:

| Field | Description |
|-------|-------------|
| `success` | Scrape succeeded |
| `price` | Product price |
| `stock` | Stock estimate |
| `title` | Product title |
| `error_code` / `error_message` | Present when failed |
| `vendor` / `region` / `url` | Context |

### Local run

```bash
python -m venv .venv
.venv\Scripts\activate
pip install -r requirements.txt
apify run -p
```

### Deploy

```bash
apify push
```

Or import this GitHub repo in the Apify Console, then complete **Publication** (display info, monetization, output schema is shipped in-repo).

# Actor input Schema

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

Product/listing URL on amazon.com.au (or product ID for HEB/AliExpress).

## `region` (type: `string`):

Marketplace region code used by DataHarvest.

## `proxyUrls` (type: `array`):

Optional HTTP(S) proxies, e.g. http://user:pass@host:port

## `timeoutSecs` (type: `integer`):

HTTP request timeout in seconds.

## `maxRetries` (type: `integer`):

Number of extra attempts after the first request fails.

## `productId` (type: `string`):

Optional for AliExpress/HEB when URL is missing.

## Actor input object example

```json
{
  "region": "AU",
  "timeoutSecs": 45,
  "maxRetries": 2
}
```

# Actor output Schema

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

Dataset items with success, price, stock, title, and errors.

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("bnb_automation/amazon-au-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 = {}

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

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,bnb_automation/amazon-au-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/AJpYGS59KFWJUzZwt/builds/qSlhoqh0faetQYvSf/openapi.json