# Build an Allegro product dataset with EAN, stock and category

**Use case:** 

A catalogue-grade dataset: every product of a search with its offer page opened - GTIN/EAN, stock, units sold, written reviews, category path, parameters - ready to match against your own catalogue or to load into a spreadsheet or database. One page per product, so give it a few minutes.

## Input

```json
{
  "mode": "SEARCH",
  "searchQueries": [
    "powerbank 20000mah"
  ],
  "startUrls": [],
  "allSellers": false,
  "searchQuery": "ekspres do kawy",
  "maxProducts": 40,
  "sort": "relevance",
  "condition": "all",
  "fetchDetails": true,
  "fetchReviews": false,
  "maxReviewsPerProduct": 100,
  "reviewsSort": "newest",
  "includeSponsored": false,
  "includeParameters": true,
  "includeImages": true,
  "includeDescription": true,
  "concurrency": 2
}
```

## Output

```json
{
  "title": {
    "label": "Title",
    "format": "string"
  },
  "gtin": {
    "label": "GTIN / EAN",
    "format": "string"
  },
  "category": {
    "label": "Category",
    "format": "string"
  },
  "stock": {
    "label": "Stock",
    "format": "integer"
  },
  "unitsSold": {
    "label": "Units sold / 30d",
    "format": "integer"
  },
  "offerRecentBuyers": {
    "label": "Offer buyers / 30d",
    "format": "integer"
  },
  "reviewsCount": {
    "label": "Reviews",
    "format": "integer"
  },
  "ratingLabel": {
    "label": "Grade",
    "format": "string"
  },
  "warranty": {
    "label": "Warranty",
    "format": "object"
  },
  "returnPolicy": {
    "label": "Returns",
    "format": "object"
  },
  "price": {
    "label": "Price",
    "format": "number"
  },
  "url": {
    "label": "Link",
    "format": "string"
  }
}
```

## How it works

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

The Allegro.pl Scraper — Every Seller, Price, Stock, EAN/GTIN Actor is ready to run with the inputs already set for "Build an Allegro product dataset with EAN, stock and category". [Sign up or log in](https://console.apify.com/create-task-from-example/YX0F7UrML7EgUPEXC) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Build an Allegro product dataset with EAN, stock and category" task

The Allegro.pl Scraper — Every Seller, Price, Stock, EAN/GTIN Actor will start running based on the input automatically. You can also change all the input fields, like mode, search phrases, and more, to match your specific use case.

### 3. Receive the "Build an Allegro product dataset with EAN, stock and category" 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 title, GTIN / EAN, category, 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 "Build an Allegro product dataset with EAN, stock and category" task via API](https://apify.com/marzi.ai/allegro-scraper.md).

## About this Actor

This example demonstrates how to use [Allegro.pl Scraper — Every Seller, Price, Stock, EAN/GTIN](https://apify.com/marzi.ai/allegro-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/marzi.ai/allegro-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/marzi.ai/allegro-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`).