# Aldi aanbiedingen next week with deal prices

**Use case:** 

Aldi aanbiedingen volgende week: ~270 deals and special buys of the coming week, from the Wednesday before it starts: ~200 special buys, ~70 price cuts with their deal price at about 26% off on average, and a few multi-buys. Deals starting Wednesday or Saturday included. Under a minute on Apify. About $0.27.

## Input

```json
{
  "keywords": [],
  "onlyBonus": true,
  "nextWeek": true,
  "maxItems": 100000,
  "minItems": 1
}
```

## Output

```json
{
  "imageUrl": {
    "label": "Image",
    "format": "string"
  },
  "name": {
    "label": "Name",
    "format": "string"
  },
  "brand": {
    "label": "Brand",
    "format": "string"
  },
  "sizeText": {
    "label": "Size",
    "format": "string"
  },
  "price": {
    "label": "Price",
    "format": "number"
  },
  "promoPrice": {
    "label": "Deal price",
    "format": "number"
  },
  "promoText": {
    "label": "Deal",
    "format": "string"
  },
  "unitPrice": {
    "label": "Unit price",
    "format": "number"
  },
  "category": {
    "label": "Category",
    "format": "string"
  },
  "url": {
    "label": "URL",
    "format": "string"
  }
}
```

## How it works

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

The Aldi NL Scraper Actor is ready to run with the inputs already set for "Aldi aanbiedingen next week with deal prices". [Sign up or log in](https://console.apify.com/create-task-from-example/alLKvvF3ehslKfISU) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Aldi aanbiedingen next week with deal prices" task

The Aldi NL Scraper Actor will start running based on the input automatically. You can also change all the input fields, like keywords, only products on a deal, and more, to match your specific use case.

### 3. Receive the "Aldi aanbiedingen next week with deal prices" 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 image, name, brand, 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 "Aldi aanbiedingen next week with deal prices" task via API](https://apify.com/sleepmodesystems/aldi.md).

## FAQ

### How many deals does the Aldi aanbiedingen next week task return?

About 270 for the week from 9 November 2026: ~200 special buys, ~70 price cuts and a few multi-buys.

### When can I run the Aldi aanbiedingen next week task?

From the Wednesday before: Aldi puts the coming week's deals online then (4 November for the week of 9 November). Its deal week runs Monday to Sunday.

### Does the Aldi aanbiedingen next week task include deals from Wednesday or Saturday?

Yes. Special buys that start later in that week, such as on Wednesday 11 or Saturday 14 November, count for it, with their own start date in promoStart.

### What does the Aldi aanbiedingen next week task cost?

$1.00 per 1,000 products: about $0.27 for ~270 deals, plus a start fee of $0.00005.

## About this Actor

This example demonstrates how to use [Aldi NL Scraper](https://apify.com/sleepmodesystems/aldi.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/sleepmodesystems/aldi.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/sleepmodesystems/aldi.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`).