# Coles Price Changes → Google Sheets + Alert

**Use case:** 

Track Coles prices for a basket of everyday products. Each run logs new and changed prices (with the previous price) to Google Sheets and can alert Slack or Telegram.

## Input

```json
{
  "searchTerms": [
    "milk",
    "bread",
    "eggs",
    "butter",
    "coffee"
  ],
  "maxPagesPerSearch": 1,
  "maxProducts": 150,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "AU"
  },
  "watchListName": "coles-basket",
  "onlyNewItems": true,
  "notifyEmail": "you@example.com"
}
```

## Output

```json
{
  "name": {
    "label": "Name",
    "format": "string"
  },
  "size": {
    "label": "Size",
    "format": "string"
  },
  "price": {
    "label": "Price",
    "format": "number"
  },
  "was_price": {
    "label": "Was price",
    "format": "number"
  },
  "savings": {
    "label": "Savings",
    "format": "number"
  },
  "promotion": {
    "label": "Promotion",
    "format": "string"
  },
  "unit_price_text": {
    "label": "Unit price text",
    "format": "string"
  },
  "on_special": {
    "label": "On special",
    "format": "boolean"
  },
  "available": {
    "label": "Available",
    "format": "boolean"
  },
  "url": {
    "label": "Url",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Coles Scraper — Prices, Specials & Unit Prices (AU) Actor is ready to run with the inputs already set for "Coles Price Changes → Google Sheets + Alert". [Sign up or log in](https://console.apify.com/create-task-from-example/HYWMcxCu4RmNI3qol) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Coles Price Changes → Google Sheets + Alert" task

The Coles Scraper — Prices, Specials & Unit Prices (AU) Actor will start running based on the input automatically. You can also change all the input fields, like search terms, pages per search, and more, to match your specific use case.

### 3. Receive the "Coles Price Changes → Google Sheets + Alert" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as name, size, price, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Coles Price Changes → Google Sheets + Alert" task via API](https://apify.com/he_work/coles-product-scraper.md).

## FAQ

### What counts as a change?

Any product whose price differs from the last run with the same watch list name. The row shows change_status 'changed' and the previous price.

### How do I connect Google Sheets?

In your sheet open Extensions → Apps Script, paste the script from the Actor README, deploy it as a web app and paste the URL into 'Google Sheets web app URL'.

## About this Actor

This example demonstrates how to use [Coles Scraper — Prices, Specials & Unit Prices (AU)](https://apify.com/he_work/coles-product-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/he_work/coles-product-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/he_work/coles-product-scraper.md

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`).