# DekaMarkt aanbiedingen next week, before the folder starts

**Use case:** 

DekaMarkt folder volgende week: the deals of the coming Tuesday at dekamarkt.nl, read before they start, with DekaMarkt's deal text, deal price, regular price and dates. A midweek run returns ~640 deals for the coming Tuesday, most of them not on a deal yet. About a minute, about $1.30.

## Input

```json
{
  "keywords": [],
  "eans": [],
  "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": "Promo 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 DekaMarkt Scraper Actor is ready to run with the inputs already set for "DekaMarkt aanbiedingen next week, before the folder starts". [Sign up or log in](https://console.apify.com/create-task-from-example/omFui2ZoF93gPVOnV) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "DekaMarkt aanbiedingen next week, before the folder starts" task

The DekaMarkt Scraper Actor will start running based on the input automatically. You can also change all the input fields, like search keywords, barcodes (ean), and more, to match your specific use case.

### 3. Receive the "DekaMarkt aanbiedingen next week, before the folder starts" 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 "DekaMarkt aanbiedingen next week, before the folder starts" task via API](https://apify.com/sleepmodesystems/dekamarkt.md).

## FAQ

### How far ahead does the DekaMarkt aanbiedingen next week task look?

To the coming Tuesday, when DekaMarkt's deal week starts. Run on Wednesday 4 November 2026, it returned the deals for Tuesday 10 November.

### How many deals does the DekaMarkt aanbiedingen next week task find?

About 640, most of them not on a deal yet when it runs; most run Tuesday to Monday of the coming week.

### Which day should I run the DekaMarkt aanbiedingen next week task?

Any day before Tuesday, such as the weekend or Monday, to have the coming week's DekaMarkt folder before it starts.

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

$2.00 per 1,000 deals stored: about $1.30 for the ~640 deals of a run. It reads the full catalog but charges only for next week's deals.

## About this Actor

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