Allegro Product Scraper: Prices, Sellers & Details

Scrape Allegro Products, Prices & Seller Data

Collect structured product data from Allegro without managing browser automation or scraping infrastructure yourself. The Actor turns product cards, offer pages, category listings, and seller storefronts into clean dataset records.

What you can collect

• Product and offer URLs, titles, IDs, prices, currencies, and original prices
• Seller names, seller IDs, positive-feedback ratings, and seller badges
• Product ratings, review counts, recent sales, availability, and promotions
• Delivery price, free-delivery status, product images, and visible parameters
• Search results, category or listing pages, seller storefronts, and direct offers

Quick start

Run the Actor with a small request budget first:

{
  "target": "search",
  "searchTerms": ["iphone 15"],
  "marketplace": "pl",
  "maxItems": 20,
  "maxPages": 1,
  "maxRequests": 1,
  "includeDetails": false
}

The results are written to the default Apify dataset. You can export them as JSON, CSV, Excel, or use the Apify API and integrations.

Pricing

The launch price is $1.10 per 1,000 product records saved to the default dataset. Runs with no saved products do not create a product-record charge. Use maxItems, maxPages, and maxRequests to keep each run predictable.

Supported targets

Target	Use it for	Main input
search	Keyword searches	searchTerms or query
listingPages	Category and listing pages	listingUrls
sellerStorefronts	A seller's available products	sellerUrls
offers	Individual product or offer pages	offerUrls

Direct Allegro URLs can also be supplied through startUrls or urls for compatibility with other Actors.

Useful examples

Search with filters

{
  "target": "search",
  "searchTerms": ["laptop"],
  "marketplace": "pl",
  "minPrice": 500,
  "maxPrice": 1500,
  "sort": "price-asc",
  "maxItems": 25,
  "maxPages": 1,
  "maxRequests": 1
}

Scrape a seller storefront

{
  "target": "sellerStorefronts",
  "sellerUrls": [
    { "url": "https://allegro.pl/uzytkownik/MediaMarktPolska/sprzedaje" }
  ],
  "maxItems": 25,
  "maxPages": 1,
  "maxRequests": 1
}

Scrape direct offers and include details

{
  "target": "offers",
  "offerUrls": [
    { "url": "https://allegro.pl/produkt/example?offerId=123456789" }
  ],
  "maxItems": 5,
  "maxRequests": 5,
  "includeDetails": true
}

Run controls

• maxRequests limits the number of page requests used during the run.
• maxPages controls pagination.
• maxItems limits the total number of products returned.
• maxItemsPerSource limits products contributed by each search or URL.
• includeDetails or scrapeProductDetails adds detailed product information for returned offers.

For a low-cost test, use one source, maxPages: 1, maxRequests: 1, and includeDetails: false.

Input reference

The most commonly used fields are:

• marketplace: pl, cz, or sk.
• searchTerms: up to 10 keyword phrases.
• query: one legacy-compatible search phrase.
• listingUrls, sellerUrls, offerUrls: arrays of { "url": "..." } objects.
• condition: all, new, or used.
• sort: relevance, price-asc, price-desc, popularity, or newest.
• minPrice and maxPrice: local price filters.
• debug: logs compact diagnostics when a page returns no products; it does not log the full page.

The Actor's input schema contains the complete field descriptions and validation rules.

Output

Each dataset item is a normalized product record. Depending on what Allegro exposes, it can include:

{
  "offerId": "17164554013",
  "title": "Smartfon Apple iPhone 15 6 GB / 128 GB 5G czarny",
  "url": "https://allegro.pl/produkt/example?offerId=17164554013",
  "price": 2999,
  "currency": "PLN",
  "sellerName": "MediaMarktPolska",
  "sellerRating": 97.4,
  "rating": 4.9,
  "reviewCount": 824,
  "deliveryPrice": 0,
  "freeDelivery": true,
  "images": ["https://a.allegroimg.com/example"],
  "parameters": { "Kolor": ["czarny"] },
  "source": { "type": "search", "query": "iphone 15" },
  "scrapedAt": "2026-09-24T15:53:26.438Z"
}

Fields that Allegro does not expose for a particular item are returned as null, an empty array, or omitted from nested source data as appropriate.