# Woolworths & Coles Scraper: Australian Grocery Prices (`scrapemint/australia-grocery-prices`) Actor

Woolworths and Coles product prices in one run: price, was-price, specials, unit price, stock, barcode, category and image, with the same branded product matched across both stores so you see where it is cheaper.

- **URL**: https://apify.com/scrapemint/australia-grocery-prices.md
- **Developed by:** [Ken M](https://apify.com/scrapemint) (community)
- **Categories:** E-commerce, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.50 / 1,000 products

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/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

## Woolworths & Coles Scraper: Australian Grocery Prices

**Australia's two biggest supermarkets in one run, with the same product matched across both.** Search as you would on the store website and get one row per product per store:

- **The product:** name, brand, pack size, category, image, product URL, barcode (Woolworths)
- **The price:** shelf price, **was-price**, savings, **on special** flag and the promotion text
- **Unit price:** price per 100 g / 1 L as the store shows it, plus the number
- **Availability:** in stock or not
- **Cross-store match:** the same branded product at the other chain, its price, `cheaperAt` and `priceDifference`

Store brands (Woolworths, Coles, Macro...) are never paired, because they are different products.

### What you get

`search`, `store`, `productId`, `name`, `brand`, `size`, `price`, `wasPrice`, `onSpecial`, `savings`, `promotion`, `unitPrice`, `unitMeasure`, `unitPriceText`, `inStock`, `barcode`, `category`, `image`, `url`, `otherStore`, `cheaperAt`, `priceDifference`, `scrapedAt`

### Example input

Milk and coffee at both stores:

```json
{
  "searches": ["milk", "coffee beans"],
  "maxProductsPerSearch": 100
}
```

This week's specials on snacks, Coles only:

```json
{
  "searches": ["chips", "chocolate", "biscuits"],
  "stores": ["coles"],
  "onlySpecials": true,
  "maxProductsPerSearch": 200
}
```

### Example output

```json
{
  "search": "tim tams",
  "store": "coles",
  "productId": "4964378",
  "name": "Arnott's Tim Tam Deluxe Chocolate Biscuits Triple Choc 175g",
  "brand": "Arnott's",
  "size": "175g",
  "price": 5,
  "wasPrice": null,
  "onSpecial": true,
  "promotion": "SPECIAL",
  "unitPrice": 2.86,
  "unitMeasure": "100G",
  "unitPriceText": "$2.86/ 100g",
  "inStock": true,
  "category": "Biscuits & Cookies",
  "image": "https://productimages.coles.com.au/productimages/4/4964378.jpg",
  "url": "https://www.coles.com.au/product/arnott-s-tim-tam-deluxe-chocolate-biscuits-triple-choc-175g-4964378",
  "otherStore": {
    "store": "woolworths",
    "productId": "197271",
    "name": "Arnott's Tim Tam Deluxe Decadent Triple Choc Biscuits 175g",
    "price": 6.5,
    "onSpecial": false,
    "url": "https://www.woolworths.com.au/shop/productdetails/197271/arnott-s-tim-tam-deluxe-decadent-triple-choc-biscuits"
  },
  "cheaperAt": "coles",
  "priceDifference": 1.5
}
```

### Uses

- **Price comparison apps and sites:** Woolworths vs Coles for the same branded product
- **Specials and catalogue tracking:** schedule weekly and catch every half-price and special
- **Brand and category managers:** your shelf price, unit price and promotions at both chains
- **Inflation and basket research:** track a fixed basket over time
- **Pair it with** [Food Product Data Scraper](https://apify.com/scrapemint/food-product-data-scraper) for ingredients and nutrition by barcode

### Notes

- Prices are the stores' default online prices; store-specific in-store prices can differ.
- Woolworths pages hold 36 products and Coles pages 48; the limit applies per store.
- Matching needs the same pack size and a near-identical name, so some genuine pairs are missed rather than mismatched.

### Pricing

- **$0.0015** per product row, cross-store match included
- No start fee. Filtered-out rows are free.

# Actor input Schema

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

Products or keywords, one per line, as you would type them on the store website, e.g. milk, tim tams, "olive oil", nappies.

## `stores` (type: `array`):

Which supermarkets to read.

## `maxProductsPerSearch` (type: `integer`):

Woolworths pages hold 36 products and Coles pages 48; more reads further pages.

## `onlySpecials` (type: `boolean`):

Keep only products on special, half price or with a was-price. Other rows are not charged.

## `compareStores` (type: `boolean`):

When both stores are selected, pair the same branded product (same pack size, near-identical name) and add otherStore, cheaperAt and priceDifference. Store brands (Woolworths, Coles, Macro...) are never paired.

## Actor input object example

```json
{
  "searches": [
    "milk",
    "coffee beans"
  ],
  "stores": [
    "woolworths",
    "coles"
  ],
  "maxProductsPerSearch": 50,
  "onlySpecials": false,
  "compareStores": true
}
```

# Actor output Schema

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

Store, name, brand, size, price, was-price, special, unit price, stock, barcode, category, image, URL and the cross-store match.

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

Products read per store and search, and matched pairs.

# 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": [
        "milk",
        "coffee beans"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapemint/australia-grocery-prices").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": [
        "milk",
        "coffee beans",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("scrapemint/australia-grocery-prices").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": [
    "milk",
    "coffee beans"
  ]
}' |
apify call scrapemint/australia-grocery-prices --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapemint/australia-grocery-prices"
        }
    }
}
```

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/IlUa26jTZB29FL94j/builds/hLepuJk4datdfTLVT/openapi.json