Allegro.pl Product Scraper — Prices, Sellers, Stock & Specs

Scrape product listings from Allegro.pl — Poland's #1 online marketplace — at scale. Search by keyword, browse any category, or paste direct offer / seller URLs, and get back clean, structured rows: price (current + original), seller reputation, condition, parameters, images, delivery, Smart!/sponsored flags, how many sellers carry the product, and a real sales-velocity signal ("how many people bought it recently"). Turn on deep mode to also pull full description, complete spec table, rating + reviews, stock quantity, GTIN/EAN, warranty and return policy from each offer page.

Pure HTTP — no browser — so it's fast, light and cheap per product.

Why use this Allegro scraper

• 🟠 Everything in one row. Price, delivery, seller rating, condition, parameters and images come straight from the search results — no detail-page visit required.
• 📈 Signals competitors don't expose. Sales-velocity popularity ("21 people bought recently"), productOffersCount (how many sellers list the same product), Smart! eligibility, sponsored vs organic, and original (pre-discount) price.
• 🔍 Deep mode when you need it. Optionally enrich each product with full description, the complete parameter table, star rating + review count + score distribution, exact stock quantity, GTIN/EAN, warranty and return policy, and full-resolution images.
• 🧭 Four ways in. Keyword search, category URL, a seller's whole storefront, or specific offer URLs — auto-detected.
• ⚡ No browser, no rate-limit babysitting. A managed proxy bypasses Allegro's anti-bot wall; the actor reads Allegro's own embedded JSON, paginates and dedupes for you.
• 💸 Pay per product. One row = one charge. Listing mode pulls ~60 products per request.

Overview

Allegro.pl is the largest e-commerce platform in Poland and Central Europe, with tens of millions of offers. This actor extracts product data from it without a headless browser: it requests the same pages your browser does (through a managed proxy that clears the DataDome challenge), reads the structured JSON Allegro embeds in every listing and offer page, and normalizes it into one tidy record per product.

It works for price monitoring, competitor and assortment analysis, sourcing, market research, and price-comparison feeds — at the scale of thousands of products per run.

Supported inputs

Input	Example	What you get
Search query	laptop gaming	Every matching offer, paginated, with your price/condition/sort filters
Category URL	https://allegro.pl/kategoria/laptopy-491	The full category, paginated
Seller storefront	https://allegro.pl/uzytkownik/Kong	Every offer from one seller
Offer URL	https://allegro.pl/oferta/18581001532	A single product (always full-detail)

Mix them freely — provide a list of search queries and a list of start URLs in the same run.

Use cases

• Competitor price tracking — monitor prices, discounts and Smart! eligibility across sellers over time.
• Market & assortment research — map an entire category, see which products sell (sales-velocity), and how many sellers carry each one.
• Sourcing & procurement — shortlist suppliers by seller rating, feedback count and stock depth; match products by GTIN/EAN.
• Price-comparison & catalog apps — feed real, structured Allegro product data into your own shopping or comparison engine.
• Business intelligence — push product-level pricing and demand signals into dashboards.
• Brand & MAP monitoring — track who sells your products, at what price, and whether listings are sponsored.

How it works

1. Bypass the anti-bot wall. Every request is routed through a managed proxy (scrape.do) that clears Allegro's DataDome challenge and returns the fully-formed page — no browser needed.
2. Read the embedded JSON. Allegro ships a __listing_StoreState object in each listing page and a deep facade object in each offer page. The actor parses those directly, so all fields are structured (not scraped off the rendered DOM).
3. Paginate & dedupe. It walks pages (~60 products each, up to Allegro's 100-page cap) until your per-query limit is reached, deduping by offerId.
4. Optionally go deep. With Scrape full product details enabled, it visits each /oferta/ page and merges the rich offer dataset onto the row.
5. Normalize. One clean record per product, tagged with its source query/URL and scrape timestamp.

Input configuration

Field	Type	Default	Description
searchQueries	array	["laptop gaming"]	Keywords to search; each runs its own paginated crawl.
startUrls	array	[]	Direct Allegro offer / search / category / seller URLs.
maxItemsPerQuery	integer	100	Max products per query or per listing URL (≤ ~6000).
minPrice / maxPrice	integer	—	Price range filter in PLN (price_from / price_to).
condition	select	all	all, new (nowe) or used (używane).
sortBy	select	relevance	relevance, price-asc, price-desc, newest.
scrapeProductDetails	boolean	false	Visit each offer page for the deep dataset (1 extra request/product).
includeRawData	boolean	false	Attach the raw Allegro offer object (deep mode only).
geoCode	string	pl	Proxy exit country (keep pl for allegro.pl pricing).

Example input

{
  "searchQueries": ["laptop gaming", "iphone 15"],
  "minPrice": 500,
  "maxPrice": 5000,
  "condition": "new",
  "sortBy": "price-asc",
  "maxItemsPerQuery": 200,
  "scrapeProductDetails": true
}

Output overview

One row per product. Listing fields are always present; detail is populated only when Scrape full product details is on.

Output sample (one product)

{
  "offerId": "18301984000",
  "productId": "8e2abfdd-4b19-4384-beee-7d9c5f8dadd6",
  "url": "https://allegro.pl/oferta/szklo-hartowane-9h-kong-...-18301984000",
  "title": "Szkło hartowane KONG do Apple iPhone 15, iPhone 16 1 szt.",
  "brand": "KONG",
  "price": { "amount": 14.99, "currency": "PLN" },
  "originalPrice": null,
  "priceWithDelivery": { "amount": 25.48, "currency": "PLN" },
  "condition": "Nowy",
  "delivery": { "free": false, "freeReturn": false, "lowestCost": { "amount": 10.49, "currency": "PLN" }, "label": "25,48 zł z dostawą" },
  "seller": { "id": "142221614", "login": "Kong", "name": "Firma", "company": true, "superSeller": true, "positiveFeedbackPercent": 100, "url": "https://allegro.pl/uzytkownik/Kong" },
  "sponsored": true,
  "smart": true,
  "productOffersCount": 1,
  "popularity": { "label": "562 osoby kupiły ostatnio", "buyersQuantity": 555 },
  "rating": { "value": 4.9, "count": 97 },
  "parameters": [ { "name": "Stan", "value": "Nowy" }, { "name": "Marka", "value": "KONG" } ],
  "images": ["https://a.allegroimg.com/original/116f16/...-iPhone-16-15"],
  "categoryId": "10532",
  "searchQuery": "iphone 15 szkło hartowane",
  "scrapedAt": "2026-06-27T12:47:00.000Z",
  "detail": {
    "stock": { "available": 3689, "label": "z 3 689 sztuk", "unit": "UNIT" },
    "gtin": "5907494722515",
    "rating": { "value": 4.9, "count": 97, "title": "Rewelacyjny", "reviewsCount": 39, "bestOpinion": "Bardzo polecam...", "distribution": [ { "score": 5, "count": 90, "percentage": 93 } ] },
    "returnPolicy": { "withdrawalPeriod": "14 dni", "costLabel": "kupujący lub za darmo dla wybranych metod Smart!" },
    "warranty": { "period": "24 miesiące", "type": "producenta/dystrybutora", "label": "..." },
    "breadcrumbs": ["Allegro", "Elektronika", "Telefony i Akcesoria", "Akcesoria GSM", "Folie i szkła ochronne"],
    "parameterGroups": [ { "group": "Dane podstawowe", "parameters": [ { "name": "Stan", "value": "Nowy" } ] } ],
    "description": "…full product description text…",
    "images": ["https://a.allegroimg.com/original/...full-res…"]
  }
}

Key output fields

Field	Description
offerId	Allegro offer id (stable key; allegro.pl/oferta/{offerId} resolves to the offer).
productId	Allegro product (catalog) id — same product across many sellers.
title · brand	Offer title and brand.
price · originalPrice	Current price and pre-discount price (PLN), when on sale.
priceWithDelivery · delivery	Total with cheapest delivery; free-delivery / free-return flags; lowest delivery cost.
condition	Nowy (new) / Używany (used) / etc.
seller	id, login, company flag, superSeller, positiveFeedbackPercent, storefront URL.
sponsored · promoted · smart	Ad context and Allegro Smart! eligibility.
productOffersCount	How many sellers offer the same product.
popularity.buyersQuantity	Recent buyers — a real sales-velocity signal.
rating	Average stars + rating count.
parameters · images	Spec name/value pairs and product images.
detail.stock	Exact available quantity.
detail.gtin	GTIN/EAN barcode (deep mode).
detail.rating	Average, count, verbal grade, review count, score distribution, featured opinion.
detail.warranty · detail.returnPolicy	Warranty period/type and return terms.
detail.description · detail.parameterGroups	Full description and grouped spec table.

FAQ

Do I need a proxy or any setup? No. The actor handles the anti-bot bypass itself and runs self-contained.

Why are some fields (rating, GTIN, stock, condition) empty in listing mode? Allegro only embeds part of the data in search results. Enable Scrape full product details to fill in rating, reviews, stock, GTIN, warranty, return policy and the full description from each offer page.

Is text in Polish? Yes — titles, conditions, parameter names and descriptions are Allegro's original Polish. Prices are in PLN.

How many products can I get per query? Allegro serves ~60 products per page and caps results at 100 pages, so up to ~6,000 products per query/URL. Use multiple queries or category/seller URLs to go wider.

Does it work for allegro.cz / .sk / .hu? The same engine handles those Allegro domains; this actor is tuned and verified for allegro.pl.

Will listing-mode and deep-mode cost the same? You're charged per product row either way. Deep mode just does one extra fetch per product behind the scenes (slower, more proxy credits), but the per-result price is the same.

Support

Questions, a field you'd like added, or a site change to report? Open an issue on the actor's Issues tab or email muhameddidovic@gmail.com. Response within 24 hours.

Additional services

Need a custom feed (scheduled runs, push to your DB/webhook, extra fields, or another Allegro domain)? Reach out — happy to tailor it.

Explore more scrapers

Looking for other marketplaces or e-commerce sources? Check out the rest of the memo23 actor collection on the Apify Store — Blinkit, and more product, travel and directory scrapers.

⚠️ Disclaimer

This actor extracts publicly available product information from Allegro.pl. It does not log in, bypass paywalls, or collect personal/private data. Use the data in compliance with Allegro's Terms of Service, applicable laws (including GDPR), and copyright. You are responsible for how you use the scraped data. This tool is intended for legitimate purposes such as price monitoring, market research and competitive analysis.

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