Allegro Seller Scraper — Full Catalog + EAN, SKU, Descriptions

What does Allegro Seller Scraper do?

Allegro Seller Scraper extracts the full product catalog of any seller on Allegro.pl — Poland's largest e-commerce marketplace with 135M+ active listings. You give the actor a seller URL (e.g. https://allegro.pl/uzytkownik/BamTrade or https://business.allegro.pl/uzytkownik/Natelite-Zoo) and it returns every product with URL, name, price, EAN, SKU, description, images, and seller identity — through pagination, automatically.

This is currently the only working Allegro scraper on Apify Store — other scrapers (including official Apify-maintained ones) fail because of Allegro's aggressive DataDome anti-bot protection. We solve it via Bright Data Scraping Browser integration + custom DOM interaction to expand hidden parameter tables where EAN lives.

Try it free with our built-in residential proxy — just paste a seller URL and press Start. The actor runs on the Apify platform which gives you free compute credits, scheduling, API access, and integrations to Google Sheets, Webhook, Slack, and more.

Why use Allegro Seller Scraper?

Common use cases:

• 🏷️ Price monitoring — track competitor prices across hundreds of sellers, daily. Repricers, marketplaces, dropshippers
• 🔍 Competitor product research — full catalog with EAN/SKU/descriptions for benchmarking
• 📊 Market intelligence — spot pricing trends, stock movements, new launches
• 💾 Catalog import/enrichment — pull EAN codes to match your own inventory in BaseLinker, Atomstore, Shoper, etc.
• 🤖 Feed your LLM — structured product data for AI-powered search, recommendations, product tagging
• 📈 SEO research — Allegro product descriptions are a goldmine of long-tail keywords and copywriting patterns

Why this scraper specifically:

• ✅ Actually works — competing Allegro scrapers on Apify Store are mostly broken (1.0–1.1⭐ reviews from users who got blocked). This one passes DataDome consistently.
• ✅ Two pricing tiers — pay only for what you need. Full data at $58/1000 for deep research, or listing-only at $8/1000 for price monitoring (30× cheaper).
• ✅ Both allegro.pl and business.allegro.pl seller URLs supported.
• ✅ Pagination built-in — give it a URL of a seller with 5000 products, it'll paginate through all ~83 pages automatically.
• ✅ EAN extraction — we programmatically click "Wszystkie parametry" button to unlock hidden parameter tables where EAN/GTIN codes live. Other scrapers miss this.
• ✅ Resilient — if the actor is stopped mid-run (budget cap, timeout, user abort), already-scraped products stay in the dataset. You never lose partial work.
• ✅ Managed proxy — no need to configure your own proxy. Just press Start.

How to use Allegro Seller Scraper

1. Pick your mode:
   • Pełny katalog sklepu (mode: seller) — you give a seller URL, we extract the whole catalog
   • Produkty po URL (mode: product) — you give a list of specific product URLs, we extract details
2. Choose depth (for seller mode):
   • fetchProductDetails: true → full data including EAN, SKU, description ($58/1000)
   • fetchProductDetails: false → fast listing-only for price monitoring ($8/1000)
3. Paste the URL (e.g. https://allegro.pl/uzytkownik/BamTrade)
4. Set maxProducts — how many products to extract. 0 = unlimited (whole catalog).
5. Press Start. Wait. The actor will log progress and save each product to the Dataset as soon as it's scraped.
6. Download results as JSON, CSV, Excel, HTML, or pipe via API into your own system.

Input

Minimum input (seller mode, full data):

{
  "mode": "seller",
  "sellerUrl": "https://allegro.pl/uzytkownik/BamTrade",
  "maxProducts": 100,
  "fetchProductDetails": true
}

Fast price monitoring mode:

{
  "mode": "seller",
  "sellerUrl": "https://business.allegro.pl/uzytkownik/Natelite-Zoo",
  "maxProducts": 0,
  "fetchProductDetails": false
}

Product-detail-by-URL mode:

{
  "mode": "product",
  "productUrls": [
    "https://allegro.pl/produkt/telewizor-...-5c3a9ec0?offerId=18138367461",
    "https://allegro.pl/produkt/oczyszczacz-...-e6172171?offerId=15479625845"
  ]
}

See the Input tab for the full schema with descriptions. All safety knobs are configurable: maxRequestsPerCrawl (hard cap), maxConcurrency, delays between requests, etc.

Power user — bring your own Bright Data

By default the actor uses our managed Bright Data Scraping Browser (price includes proxy). If you have your own Bright Data account, paste your WSS URL in the brightDataWssUrl field (secret) and the actor will route through your account — you pay them directly, we charge you less for just the code/compute.

Output

Each product becomes one row in the Dataset. Example:

{
  "url": "https://allegro.pl/produkt/oczyszczacz-powietrza-toshiba-caf-y92xpl-e6172171-da1a-4b5b-835f-cc86d58b1f3a?offerId=15479625845",
  "name": "Toshiba CAF-Y92XPL Oczyszczacz Powietrza HEPA H13 Węglowy Na Alergię",
  "price": 459,
  "currency": "PLN",
  "ean": "6939924828336",
  "sku": "CAF-Y92XPL",
  "offerId": "15479625845",
  "productId": "e6172171-da1a-4b5b-835f-cc86d58b1f3a",
  "sellerId": "98063506",
  "sellerLogin": "BamTrade",
  "mainImage": "https://a.allegroimg.com/original/1138d5/fd3ff6024b23b9b85ee983ac7e3d/...",
  "images": [
    "https://a.allegroimg.com/original/1138d5/...",
    "https://a.allegroimg.com/original/117b92/..."
  ],
  "description": "Oczyszczacz powietrza Toshiba CAF-Y92XPL z filtrem HEPA H13, technologią jonizacji, pochłaniacz zapachów, cichy pracą ...",
  "scrapedAt": "2026-04-23T00:15:48Z"
}

Download as JSON, CSV, Excel, HTML, RSS, JSONL, or pipe via Apify API into your own system.

Data fields

Field	Type	Notes
url	string	Canonical product URL
name	string	Product title (cleaned, no "- Allegro" suffix)
price	number	Current price (main offer price)
currency	string	Usually PLN
ean	string | null	EAN (GTIN-13). null in listing-only mode or if seller didn't specify.
sku	string | null	Manufacturer code (Kod producenta). null in listing-only mode or if missing.
offerId	string	Allegro offer ID (unique per listing)
productId	string | null	Allegro product ID (UUID, shared between offers of the same product)
sellerId	string	Numeric seller ID
sellerLogin	string	Seller username (matches URL)
mainImage	string | null	Highest-resolution main image URL (CDN: allegroimg.com)
images	string[]	All product image URLs
description	string | null	Plain-text product description (HTML stripped, capped at 20K chars). null in listing-only mode.
scrapedAt	string	ISO 8601 timestamp of extraction

Pricing — how much does it cost to scrape Allegro?

Pay-per-event model — you pay for what's actually scraped:

Event	Price	When
Full product scraped	$0.058 ($58 / 1000)	fetchProductDetails: true mode, per product returned with EAN/SKU/description
Listing-only product scraped	$0.008 ($8 / 1000)	fetchProductDetails: false mode, per product with URL/name/price only
Run start fee	$0.05	Once per run (covers session init)

Example costs:

• Monitor prices of a 500-product seller daily → $4.05/run → ~$122/month
• Full scrape of a 1000-product seller (one-off) → $58 + start fee = ~$58
• Enrich 100 product URLs with EAN/descriptions → $5.85

Apify also bills a small compute fee (included in your Apify plan's free credits for most users — see your Apify Billing dashboard).

Tips for efficient scraping

• Use listing-only mode for recurring runs. If you're monitoring prices daily, you don't need EAN/SKU every time — save 86% vs full mode.
• Schedule runs in Apify — free built-in scheduler. "Scrape seller X every 6 hours" is a few clicks.
• Set maxProducts: 0 only if you really want the whole catalog — for most use cases, a capped run (e.g. 500) is faster + cheaper + easier to debug.
• Increase minDelayMs/maxDelayMs if you see 403 errors spike. Default is polite but aggressive; 2000/5000 ms is safer for long runs.
• For sellers with 5000+ products — split into multiple runs with maxProducts: 1000 each, running sequentially. More resilient than one giant run.
• Combine with Google Sheets integration — Apify has a native connector. Product data flows directly into your spreadsheet.

FAQ

Is scraping Allegro legal? Apify and this scraper are tools. Scraping publicly available data (what any browser sees) is generally permitted under EU "sui generis" database rights and by jurisprudence in Poland, but Allegro's Terms of Service prohibit automated access. Use the actor responsibly: (1) scrape only public data, (2) don't overload Allegro's servers (delays are on by default), (3) ensure GDPR compliance when handling any personal data extracted (e.g. seller names). Consult a lawyer for commercial use cases.

Why do runs sometimes take a while? Full-mode scraping requires visiting each product page individually, including clicking "Wszystkie parametry" to unlock EAN, and waiting for DataDome JS challenge to resolve. Budget ~30 seconds per product for full mode. Listing-only mode is fast: ~10 seconds per 60-product page.

What if the scraper breaks? Allegro's structure changes occasionally. We monitor the actor in production and ship fixes within 24-48h. If you hit a bug, open an Issue on this actor page — we respond to all issues. Your already-scraped data stays safe in the Dataset even if a run fails partway.

Can I extract reviews / stock / variants / seller ratings? Not in the current version, but these are on the roadmap. Priority is driven by user requests — open an Issue if you need a specific field.

Is GDPR data returned? We extract public catalog data. We deliberately don't scrape reviews (which may contain PII) or buyer information. Seller names/IDs are public-facing business identifiers, not personal data.

What if Allegro blocks my run? Our Bright Data integration passes DataDome in 95%+ of cases, verified across multiple sellers including BamTrade, Natelite-Zoo, and official brand stores. If you see persistent 403 errors in your logs, open an Issue — we'll investigate.

Who maintains this? Active solo maintainer. Response time to Issues: <48h (usually same day). Scraper was launched April 2026 and updates are shipped continuously.

Support & contact

• Issues tab — for bug reports, feature requests, questions. Public, so your issue helps other users too.
• Discord — Apify Community #scrapers channel
• Marketplace listing — this page

Built with ❤️ for the Polish e-commerce ecosystem.