Coles Scraper — Prices, Specials & Unit Prices (AU)

✅ Checked daily. An automated test runs this Actor on the Apify cloud every day and checks that it still returns real data, so if the website changes and something breaks, it's caught the same day and fixed.

Collect product prices from coles.com.au: search any term, or point it at a category or the specials page. Fast HTTP scraping (no browser), with an automatic retry through an Australian residential proxy if a page is blocked, so runs keep succeeding.

What you get

Field	Example
name, size	a2 Milk Full Cream Uht Milk, 1L
price, was_price, savings	3.30, 3.90, 0.60
on_special, promotion	true, 2 for $39
unit_price, unit_measure	3.30, 1L
available	true
product_id, url, image	Coles product ID, product page, full-size image
search_term, source_url, scraped_at	where and when it was found

Input

Field	Default	Description
searchTerms	–	e.g. milk, coffee capsules, nappies
startUrls	–	Optional Coles pages, e.g. https://www.coles.com.au/on-special or a /browse/... category
maxPagesPerSearch	5	Result pages per search or URL
maxProducts	500	Hard cap for the run
proxyConfiguration	Apify residential, AU	Used only for pages that are blocked

The run's OUTPUT record lists each search with pages read, products found and status, so you can see exactly what happened.

Alerts & workflows

Ready-made workflow: Price changes → Google Sheets + alert. No Make or Zapier needed — set it in the input and schedule the Actor (e.g. daily).

1. Give the run a Watch list name (e.g. my-watch). Every run with that name remembers every product (by product ID) with its price; each item gets change_status = new, changed or unchanged (changed items also carry previous_value).
2. Turn on Only new / changed items to skip — and not pay for — items you've already seen.
3. Add one or more destinations; after each run you get a digest of what's new or changed:
   • Slack: an incoming-webhook URL.
   • Telegram: bot token (from @BotFather) + chat ID.
   • Discord: a channel webhook URL.
   • Email: an address (sent with Apify's send-mail Actor).
   • Google Sheets: open your sheet → Extensions → Apps Script, paste the script below, Deploy → New deployment → Web app (execute as you, access: anyone), and paste the web app URL into the input. Each new / changed item is appended as a row.

function doPost(e) {
  var rows = JSON.parse(e.postData.contents).rows || [];
  var sheet = SpreadsheetApp.getActiveSpreadsheet().getActiveSheet();
  if (!rows.length) return ContentService.createTextOutput("0");
  var head = sheet.getLastRow() ? sheet.getRange(1, 1, 1, sheet.getLastColumn()).getValues()[0] : [];
  if (!head.length) { head = Object.keys(rows[0]); sheet.appendRow(head); }
  rows.forEach(function (r) { sheet.appendRow(head.map(function (h) { return r[h] === undefined ? "" : r[h]; })); });
  return ContentService.createTextOutput(String(rows.length));
}

Secrets (webhook URLs, bot tokens) are stored encrypted by Apify.

Example input

{
  "searchTerms": [
    "eggs",
    "cheese"
  ],
  "maxPagesPerSearch": 3,
  "maxProducts": 20,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "AU"
  }
}

Example output

One item from a real run (long texts shortened):

{
  "product_id": "6704811",
  "name": "Bega Cheese Natural Slices Tasty",
  "size": "500g",
  "price": 10,
  "was_price": 11,
  "savings": 1,
  "on_special": true,
  "promotion": "Sponsored",
  "unit_price": 20,
  "unit_measure": "1kg",
  "unit_price_text": "$20.00/ 1kg | Was $11.00",
  "badges": [
    "Life 3 weeks min",
    "Save $1.00"
  ],
  "available": true,
  "image": "https://cdn.productimages.coles.com.au/productimages/6/6704811.jpg",
  "url": "https://www.coles.com.au/product/bega-cheese-natural-slices-tasty-500g-6704811",
  "search_term": "cheese",
  "source_url": "https://www.coles.com.au/search/products?q=cheese",
  "scraped_at": "2026-11-05T02:37:01.599019+00:00"
}

How it compares

	This Actor	Typical alternative
Fields per result	18 (see Example output)	Varies by actor
Freshness	Read live from the source when the run starts	Varies
Reliability	Tested daily by an automated run on the Apify cloud (see the top of this page)	—
Price	$1.25 per 1,000 products	No comparable Actor on the Apify Store (6 Nov 2026); the alternative is the source's own API or export, or collecting it by hand

Pricing

Pay per result, no monthly fee:

• $1.25 per 1,000 products: One Coles product delivered to your dataset.
• $0.005 per run (start).

Bronze plans pay 5% less, Silver 10% less, Gold and above 15% less.

Examples: 1,000 products = $1.25; 10,000 = $12.51.

FAQ

How do I run it on a schedule? Create a task with your input and add a schedule in Apify Console (e.g. daily at 6 am). Each run writes a fresh dataset.

How do I get the data? Download the dataset as JSON, CSV, Excel, XML or HTML from the run page, or read it with the Apify API / Python and JavaScript clients. Integrations (Google Sheets, Make, Zapier, n8n, webhooks) work out of the box.

Do I need proxies or an account on the site? No. Proxies are handled inside the Actor and included in the price; no login is needed.

What if a run returns fewer results than expected? Check the run's key-value store OUTPUT record (when present) for a per-request report, then open an issue on the Issues tab with the run link and we'll look into it.

Is it legal? The Actor only collects publicly available data. You are responsible for using it in line with the website's terms, copyright and data-protection rules (GDPR, CCPA) — don't collect personal data you have no legal basis for.

Notes

• Prices are Coles' online prices as shown without choosing a store; in-store prices can differ.
• Public product pages only; no login.