# Coles & Woolworths Scraper - Prices & Half Price Specials (`kalilfagundes.w/au-supermarkets-scraper`) Actor

\[Limited Launch Offer $1.50/1K] Australian supermarket prices and specials from Coles and Woolworths in one run: Australia grocery prices, unit price, was price, barcode, ratings. No API key.

- **URL**: https://apify.com/kalilfagundes.w/au-supermarkets-scraper.md
- **Developed by:** [Scrape With Me](https://apify.com/kalilfagundes.w) (community)
- **Categories:** E-commerce, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.28 / 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.
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

## Coles & Woolworths Scraper - Prices & Half Price Specials

Scrape **Coles** and **Woolworths** (Australia) grocery prices in **one run and one format**. Search both supermarkets by keyword, pull this week's **specials** or only the **half price** deals, or paste any Coles / Woolworths product, category, specials or search link. Every product comes back with **price, was price, saving, unit price** (per kg / L / 100 g), half-price and special flags, multibuy offers, availability, department and category, image and link, plus **barcode and star ratings** for Woolworths. No login, no browser, no API key.

### Coles and Woolworths prices in one run

- **Both chains in one schema**: the same columns for Coles and Woolworths, so price comparison is a simple join on name, brand or size.
- **Specials built in**: `specials: "halfprice"` returns the current half-price list of both stores; `"all"` returns the whole specials catalogue. New specials start each Wednesday.
- **Fast and light**: plain HTTP on the stores' own JSON data (no headless browser); 80 products in about 15 seconds in our tests.
- **Reliable by design**: each search, category or link is handled on its own, so one refused page never stops the run, and the run summary lists what was saved per source.

### Use cases

- Weekly Coles vs Woolworths price comparison and half-price trackers
- FMCG / brand price monitoring and promotion tracking
- Grocery price apps, budgeting tools and unit-price ("cheapest per 100 g") finders
- Retail analytics: special frequency, discount depth, category assortment

### Half price specials and Woolworths specials

`specials: "halfprice"` pulls the current half-price list of both stores, `"all"` the whole specials catalogue (half price, multibuy, lower shelf price, online-only). Specials change every Wednesday.

### Input examples

Search both stores and add this week's half-price specials:

```json
{
  "searchQueries": ["tim tam", "coffee beans"],
  "specials": "halfprice",
  "maxItemsPerSource": 100
}
```

Categories, specials pages and single products by link:

```json
{
  "startUrls": [
    "https://www.woolworths.com.au/shop/browse/dairy-eggs-fridge/milk",
    "https://www.coles.com.au/browse/dairy-eggs-fridge/milk",
    "https://www.coles.com.au/on-special",
    "https://www.woolworths.com.au/shop/productdetails/88436/dairy-farmers-full-cream-milk"
  ],
  "maxItemsPerSource": 0
}
```

- `stores`: `woolworths`, `coles` or both (default both) for search queries and specials.
- `maxItemsPerSource`: products per query and store, category or specials list (`0` = everything).
- `maxItems`: cap for the whole run (default 1,000).
- `includeRatings`: Woolworths star ratings and review counts (default on).

### Australian supermarket prices: output fields (unit price, was price, barcode, ratings)

Real rows from a test run (one Woolworths, one Coles):

```json
[
  {
    "store": "woolworths",
    "productId": "513469",
    "name": "Pauls Plus+ Protein Low Fat Milk 2L",
    "brand": "Pauls",
    "size": "2L",
    "price": 5.9,
    "wasPrice": null,
    "saving": null,
    "currency": "AUD",
    "unitPrice": 2.95,
    "unitPriceMeasure": "1L",
    "unitPriceText": "$2.95 / 1L",
    "isOnSpecial": false,
    "isHalfPrice": false,
    "specialType": null,
    "specialText": null,
    "multibuyText": null,
    "isAvailable": true,
    "department": "Dairy, Eggs & Fridge",
    "category": "High Protein",
    "subCategory": "Protein Drinks",
    "barcode": "9310036073482",
    "rating": null,
    "ratingCount": null,
    "reviewCount": null,
    "isMarketplace": false,
    "seller": null,
    "imageUrl": "https://cdn1.woolworths.media/content/wowproductimages/large/513469.jpg",
    "url": "https://www.woolworths.com.au/shop/productdetails/513469/pauls-plus-protein-low-fat-milk",
    "source": "woolworths category: dairy-eggs-fridge/milk",
    "sourceUrl": "https://www.woolworths.com.au/shop/browse/dairy-eggs-fridge/milk",
    "scrapedAt": "2026-10-13T21:40:20Z"
  },
  {
    "store": "coles",
    "productId": "7848420",
    "name": "Coles Made Easy Slow Cooked Pork Belly Bites In BBQ Honey 500g",
    "brand": "Coles Made Easy",
    "size": "500g",
    "price": 7.5,
    "wasPrice": 15,
    "saving": 7.5,
    "currency": "AUD",
    "unitPrice": 15,
    "unitPriceMeasure": "1KG",
    "unitPriceText": "$15.00/ 1kg",
    "isOnSpecial": true,
    "isHalfPrice": true,
    "specialType": "PERCENT_OFF",
    "specialText": "1/2 Price",
    "multibuyText": null,
    "isAvailable": true,
    "department": "Meat & Seafood",
    "category": "Coles Made Easy Range",
    "subCategory": "Easy Meals",
    "barcode": null,
    "rating": null,
    "ratingCount": null,
    "reviewCount": null,
    "isMarketplace": null,
    "seller": null,
    "imageUrl": "https://productimages.coles.com.au/productimages/7/7848420.jpg",
    "url": "https://www.coles.com.au/product/coles-made-easy-slow-cooked-pork-belly-bites-in-bbq-honey-500g-7848420",
    "source": "coles specials: halfprice",
    "sourceUrl": "https://www.coles.com.au/on-special",
    "scrapedAt": "2026-10-13T21:34:56Z"
  }
]
```

`source` tells which search, category or specials list the row came from; the run's `OUTPUT` record lists found / saved / error per source.

### Use it as a Coles / Woolworths API (schedule, webhooks, Google Sheets)

Call the actor from the Apify API or any of its clients, put it on a schedule (for example every Wednesday morning for the new specials) and send the dataset to Google Sheets, a webhook or your database through Apify integrations.

### Run it on a schedule and connect it to your tools

**Schedule:** in Apify Console open *Schedules → Create*, pick this actor and your input, and set it to run
every Wednesday at 08:00 (Australia/Sydney) for a weekly export of current supermarket prices and specials. Each run collects a fresh dataset of current matching products up to your input limits. Keep successive datasets if you want to build your own price history.

**Integrations** (Actor → *Integrations* tab, no code):

- **Google Sheets** — append every run's rows to a sheet.
- **Make, Zapier, n8n** — start the actor from a scenario/zap/workflow and use the rows in the next steps.
- **Webhook** — get a POST to your endpoint when a run succeeds, then download the dataset.
- **Slack / email** — notify your team when a scheduled run finishes.

**AI agents (MCP)** — Claude, ChatGPT, Cursor, VS Code or any MCP client can run it as a tool: add the Apify MCP
server `https://mcp.apify.com?actors=kalilfagundes.w/au-supermarkets-scraper` (sign in with your Apify account) and ask for the data in
plain language. The agent fills the input from the input schema and reads the dataset back.

**API** — call it from your code (`pip install apify-client` / `npm i apify-client`):

```python
from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("kalilfagundes.w/au-supermarkets-scraper").call(run_input={
    "searchQueries": [
        "tim tam",
        "coffee beans"
    ],
    "specials": "halfprice",
    "maxItemsPerSource": 15,
    "maxItems": 80
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)
```

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

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('kalilfagundes.w/au-supermarkets-scraper').call({
  "searchQueries": [
    "tim tam",
    "coffee beans"
  ],
  "specials": "halfprice",
  "maxItemsPerSource": 15,
  "maxItems": 80
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

### Related actors

- [Walmart Product Search Scraper - Prices, Ratings, Sellers](https://apify.com/kalilfagundes.w/walmart-scraper)
- [Amazon Price Tracker & Product Scraper - ASIN, BSR, 23 Sites](https://apify.com/kalilfagundes.w/amazon-product-scraper)
- [TikTok Shop Product Data Scraper - Sales, Prices & Reviews](https://apify.com/kalilfagundes.w/tiktok-shop-scraper)

### Pricing

Pay per product saved (see the **Pricing** tab), plus a small start fee per run. Nothing is charged for pages that return no products. Use `maxItems` or the run's maximum cost to cap spending.

### Notes and limitations

- Prices are the online prices of each store's default location; store-specific prices and stock are not included yet.
- Coles only serves Australian visitors, so Coles requests use Apify's **Australian residential proxy** (the default `proxyConfiguration`). Woolworths goes direct and switches to the proxy only if refused.
- Barcodes and ratings are published by Woolworths only; for Coles these fields are empty.
- Very large categories can be split into sub-category links for faster runs.

Questions or a missing field? Open an issue on the actor page, we usually answer within a day.

# Actor input Schema

## `searchQueries` (type: `array`):

Keywords as typed in the supermarket search box ("milk", "tim tam", a brand). Each query is searched in every selected store.

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

Which supermarkets to search (search queries and specials).

## `specials` (type: `string`):

Also scrape the current specials of every selected store. New specials start each Wednesday.

## `startUrls` (type: `array`):

Product, category, specials or search links, e.g. https://www.woolworths.com.au/shop/browse/dairy-eggs-fridge/milk, https://www.coles.com.au/browse/dairy-eggs-fridge/milk, https://www.coles.com.au/product/coles-full-cream-milk-2l-8150288.

## `maxItemsPerSource` (type: `integer`):

Products to save per query and store, per category or per specials list. 0 = everything.

## `maxItems` (type: `integer`):

Stop after this many products in the whole run. 0 = no limit.

## `includeRatings` (type: `boolean`):

Adds star rating, rating count and review count to Woolworths products (one small extra request per page).

## `proxyConfiguration` (type: `object`):

Coles only answers Australian residential IPs; Woolworths goes direct and uses the proxy only if refused. Keep RESIDENTIAL + Australia.

## Actor input object example

```json
{
  "searchQueries": [
    "milk"
  ],
  "stores": [
    "woolworths",
    "coles"
  ],
  "specials": "none",
  "maxItemsPerSource": 20,
  "maxItems": 1000,
  "includeRatings": true,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "AU"
  }
}
```

# Actor output Schema

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

No description

## `summary` (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 = {
    "searchQueries": [
        "milk"
    ],
    "maxItemsPerSource": 20,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ],
        "apifyProxyCountry": "AU"
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("kalilfagundes.w/au-supermarkets-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 = {
    "searchQueries": ["milk"],
    "maxItemsPerSource": 20,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
        "apifyProxyCountry": "AU",
    },
}

# Run the Actor and wait for it to finish
run = client.actor("kalilfagundes.w/au-supermarkets-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 '{
  "searchQueries": [
    "milk"
  ],
  "maxItemsPerSource": 20,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "AU"
  }
}' |
apify call kalilfagundes.w/au-supermarkets-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,kalilfagundes.w/au-supermarkets-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/zWuJPc3MRwOPsUZgD/builds/0X1MNzMGPZ5VnVau4/openapi.json