# BIG W Deals & Price Tracker (`axlymxp/bigw-deals-tracker`) Actor

Track BIG W (bigw.com.au) deals: specials, clearance, flash deals and price drops with current price, was-price, RRP, $ and % savings, promo badges and stock. Filter by deal type and minimum discount, sweep categories, or watch specific products. Clean JSON. Pay only for results.

- **URL**: https://apify.com/axlymxp/bigw-deals-tracker.md
- **Developed by:** [axly](https://apify.com/axlymxp) (community)
- **Categories:** E-commerce, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 dataset items

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

## BIG W Deals & Price Tracker

Find every current **BIG W** (bigw.com.au) deal — **specials, clearance, flash
deals, multi-buys and price drops** — with the numbers that matter: current
price, was-price, RRP, dollar and percentage savings, promo badge and stock.
Filter by deal type and minimum discount, sweep whole categories, or monitor a
**watchlist** of specific products for price drops.

Built on BIG W's own JSON API, using its native "deal" filter — so you get only
discounted products, fast and complete, as clean JSON/CSV/Excel.

### Who uses this

- **Deal & bargain aggregators / cashback sites** — a ready specials & clearance
  feed to publish or ingest.
- **Price-intelligence teams & brands** — measure BIG W promo depth and cadence
  over time.
- **Resellers** — spot clearance arbitrage and watchlist SKUs for drops.
- **Shoppers & affiliates** — automated "what's on sale at BIG W" lists.

### What you get — output fields

| Field                        | Type    | Description                                 |
| ---------------------------- | ------- | ------------------------------------------- |
| `article_id`                 | string  | BIG W numeric product id                    |
| `name`, `brand`              | string  | Product name and brand                      |
| `url`                        | string  | Product page URL                            |
| `barcode`                    | string  | Primary barcode (EAN/GTIN)                  |
| `price`                      | number  | Current deal price (AUD)                    |
| `was_price`, `rrp`           | number  | Previous / recommended retail price         |
| `save_amount`                | number  | Amount saved (AUD)                          |
| `save_percent`               | number  | Discount percentage                         |
| `price_label`                | string  | e.g. `SPECIAL`, `CLEARANCE`, `BIG DEAL`     |
| `promo_badge`                | string  | e.g. `20% OFF`, `1/2 PRICE`                 |
| `is_clearance`               | boolean | Clearance flag                              |
| `unit_price`                 | string  | Comparative unit price, e.g. `$0.27 / 1 EA` |
| `deal_types`                 | array   | Deal types matched this run                 |
| `in_stock`, `listing_status` | mixed   | Availability                                |
| `sold_by`                    | string  | BIG W vs Marketplace seller                 |
| `category`, `category_id`    | string  | Category                                    |
| `image`                      | string  | Main product image                          |
| `rating`, `reviews_count`    | number  | Optional rating summary                     |
| `scraped_at`                 | string  | ISO-8601 timestamp                          |

### High-value use cases

1. **Daily clearance feed** — auto-sweep BIG W deals every morning and publish
   or ingest the discounted catalogue.
2. **Price-drop alerts** — put your SKUs in the watchlist and diff `price` /
   `save_percent` between runs to trigger alerts.
3. **Promo-depth analytics** — track how deep and how often BIG W discounts a
   category or brand over time.
4. **Arbitrage sourcing** — filter by `is_clearance` and a high
   `minDiscountPercent` to find resale opportunities.

### Input parameters

| Field                | Type     | Default                        | Description                     |
| -------------------- | -------- | ------------------------------ | ------------------------------- |
| `dealTypes`          | enum\[]   | Clearance, Special, Flash Deal | Deal types to collect           |
| `categoryIds`        | string\[] | `[]`                           | Restrict to category ids        |
| `searchQueries`      | string\[] | `[]`                           | Restrict to keywords            |
| `productCodes`       | string\[] | `[]`                           | Watchlist of product codes/URLs |
| `minDiscountPercent` | integer  | `0`                            | Keep deals ≥ this % off         |
| `onlyInStock`        | boolean  | `true`                         | In-stock deals only             |
| `maxItems`           | integer  | `500`                          | Global cap                      |
| `maxPagesPerQuery`   | integer  | `20`                           | Pages per query (48/page)       |
| `sort`               | enum     | `priceDesc`                    | Ordering within a query         |
| `includeReviewStats` | boolean  | `false`                        | Add rating + review count       |
| `proxyConfiguration` | object   | Apify AUTO                     | Optional egress                 |

> Leave `categoryIds`, `searchQueries` and `productCodes` empty to auto-sweep the
> top BIG W categories that currently have deals. Each single query is capped at
> 2000 results by BIG W, so category scoping gives the deepest coverage.

### Example input

```json
{
    "dealTypes": ["Clearance", "Special", "Flash Deal"],
    "minDiscountPercent": 30,
    "onlyInStock": true,
    "maxItems": 500
}
```

### Example output (one row)

```json
{
    "article_id": "6009400",
    "name": "LEGO Wicked Glinda's Wedding Day 75688",
    "brand": "LEGO",
    "url": "https://www.bigw.com.au/product/.../p/6009400",
    "price": 25.0,
    "was_price": 49.0,
    "save_amount": 24.0,
    "save_percent": 49.0,
    "price_label": "CLEARANCE",
    "promo_badge": "CLEARANCE",
    "is_clearance": true,
    "deal_types": ["Clearance", "Special"],
    "in_stock": true,
    "sold_by": "BIG W",
    "category": "LEGO",
    "scraped_at": "2026-07-31T02:00:00Z"
}
```

### Scheduling & integrations

- **Schedule** daily runs to keep a fresh deals feed and build price history.
- **Webhooks** on completion push new deals into your systems.
- Export to **JSON, CSV, Excel, XML**, or sync to **Google Sheets, Make, Zapier,
  Airbyte, S3** via Apify integrations, or pull via the **Apify API**.

### Using it from an AI agent (MCP)

Callable over the Apify MCP server, so AI assistants can ask "what's on clearance
at BIG W in toys with 40%+ off" and receive structured JSON back.

### FAQ

**How does it find deals?** It uses BIG W's own `deal` filter (Clearance,
Special, Flash Deal, Multi-Buy, price-drop tags), so only genuinely discounted
products are returned — no client-side guessing.

**Is the was-price real?** Yes — was-price, RRP and savings come from BIG W's
live price API at scrape time.

**Can I track specific products?** Yes — add their codes/URLs to `productCodes`
and their current price and deal status are always reported.

**How much can I get per run?** Up to `maxItems`. A single query is capped at
2000 results by BIG W; the auto category sweep covers far more.

**Do I need an unblocker?** No — it uses BIG W's official JSON API directly.
Apify Proxy provides a stable IP and can be switched to Australian residential.

**Is this legal?** It collects only publicly available product/pricing data. You
are responsible for using it in line with BIG W's terms and applicable law.

# Actor input Schema

## `dealTypes` (type: `array`):

Which BIG W deal types to collect. Leave the defaults for the most common specials and clearance.

## `categoryIds` (type: `array`):

Only look for deals within these numeric category IDs (from a category URL: /.../c/<categoryId>, e.g. 68 = Toys). Leave empty to auto-sweep the top categories that currently have deals.

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

Only look for deals matching these keywords.

## `productCodes` (type: `array`):

Track specific products by article ID (or product URL). Their current price and deal status are always reported, even if not currently discounted.

## `minDiscountPercent` (type: `integer`):

Only keep deals with at least this percentage off the was-price / RRP.

## `onlyInStock` (type: `boolean`):

Return only deals that are currently in stock.

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

Global cap on the number of deal rows pushed.

## `maxPagesPerQuery` (type: `integer`):

Pages per category/keyword (48 results per page). BIG W caps any single query at 2000 results.

## `sort` (type: `string`):

Result ordering within each query.

## `includeReviewStats` (type: `boolean`):

Also fetch each product's average rating and review count. One extra request per deal.

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

Egress proxy. BIG W's API works from most connections; the default Apify Proxy provides a stable IP. Choose Australian residential if you see soft blocks.

## Actor input object example

```json
{
  "dealTypes": [
    "Clearance",
    "Special",
    "Flash Deal"
  ],
  "categoryIds": [
    "68"
  ],
  "searchQueries": [
    "lego",
    "tv"
  ],
  "productCodes": [
    "80247"
  ],
  "minDiscountPercent": 0,
  "onlyInStock": true,
  "maxItems": 500,
  "maxPagesPerQuery": 20,
  "sort": "priceDesc",
  "includeReviewStats": false,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# 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 = {
    "dealTypes": [
        "Clearance",
        "Special",
        "Flash Deal"
    ],
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("axlymxp/bigw-deals-tracker").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 = {
    "dealTypes": [
        "Clearance",
        "Special",
        "Flash Deal",
    ],
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("axlymxp/bigw-deals-tracker").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "dealTypes": [
    "Clearance",
    "Special",
    "Flash Deal"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call axlymxp/bigw-deals-tracker --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=axlymxp/bigw-deals-tracker",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/NjQvhiLr40swb6RgT/builds/PXebhu9Sh6kG6XvHD/openapi.json
