Allegro Seller Scraper — Prices, EAN, SKU, Images, Specs (PL)

Maintained by Klevio — Polish e-commerce specialists. We build custom BaseLinker integrations, Allegro automations, and bespoke scrapers for Polish online stores. Need a custom solution? → support@klevio.pl

📦 Part of our Polish e-commerce scraper suite — see footer for what's coming next.

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, parameters (36+ fields per product), 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.

Key features

• 🔍 Scrape full Allegro seller catalogs — get URL, name, price, EAN, SKU, parameters (36+ fields)
• 💰 Monitor Allegro prices in real-time at $6/1000 — repricer-friendly
• 🇵🇱 Extract EAN/GTIN codes from Polish marketplace listings
• 🛡️ DataDome bypass included — the only Allegro scraper that consistently works
• 📦 Export to CSV / JSON / Excel — or pipe via API to your system
• 🔄 BaseLinker compatible output format
• ⚡ High concurrency — scrape 1000+ products in minutes with parallel workers
• 🇪🇺 GDPR compliant — public catalog data only, no PII

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/parameters/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 $50/1000 for deep research, or listing-only at $6/1000 for price monitoring (8× 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 + 36+ parameters — we extract the full "Wszystkie parametry" specification table (brand, model, dimensions, connectivity, energy class, …) plus EAN/GTIN codes. 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 (scrapeMode):
   • seller-full — give a seller URL, get the whole catalog with EAN, SKU, parameters, description, images ($50/1000)
   • seller-listing — give a seller URL, get fast listing-only data (URL, name, price, main image) for price monitoring ($6/1000)
   • product-urls — give a list of specific product URLs, get full details of each ($50/1000)
2. Paste the URL (e.g. https://allegro.pl/uzytkownik/BamTrade)
3. Set maxProducts — how many products to extract. 0 = unlimited (whole catalog).
4. Press Start. The actor logs progress and saves each product to the Dataset as soon as it's scraped.
5. Download results as JSON, CSV, Excel, HTML, or pipe via API into your own system.

Input

Minimum input (full catalog):

{
  "scrapeMode": "seller-full",
  "sellerUrl": "https://allegro.pl/uzytkownik/BamTrade",
  "maxProducts": 100
}

Fast price monitoring mode:

{
  "scrapeMode": "seller-listing",
  "sellerUrl": "https://business.allegro.pl/uzytkownik/Natelite-Zoo",
  "maxProducts": 0
}

Product-detail-by-URL mode:

{
  "scrapeMode": "product-urls",
  "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 (seller-full mode):

{
  "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/s720/1138d5/fd3ff6024b23b9b85ee983ac7e3d/...",
  "images": [
    "https://a.allegroimg.com/s720/1138d5/...",
    "https://a.allegroimg.com/original/117b92/..."
  ],
  "description": "Oczyszczacz powietrza Toshiba CAF-Y92XPL z filtrem HEPA H13, technologią jonizacji, pochłaniacz zapachów, cichą pracą ...",
  "parameters": {
    "Marka": "Toshiba",
    "Model": "CAF-Y92XPL",
    "Maksymalna wielkość pomieszczenia": "60 m²",
    "Poziom hałasu": "28 dB",
    "Filtry": "HEPA, jonizacyjny, węglowy, wstępny"
  },
  "scrapedAt": "2026-06-01T00:15:48Z"
}

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). seller-full / product-urls only.
sku	string | null	Manufacturer code (Kod producenta). seller-full / product-urls only.
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[]	Full product gallery (resolution-deduplicated). seller-full / product-urls only.
parameters	object	Map of spec parameters (Marka, Model, dimensions, connectivity, …) — 36+ fields in seller-full. {} if none; not included in seller-listing.
description	string | null	Plain-text product description (HTML stripped, capped at 20K chars). seller-full / product-urls only.
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	$0.05 ($50 / 1000)	seller-full / product-urls modes
Listing-only product scraped	$0.006 ($6 / 1000)	seller-listing mode
Run start fee	$0.05	Once per run

Example costs:

• Monitor prices of a 500-product seller daily (seller-listing) → ~$3.05/run → ~$92/month
• Full scrape of a 1000-product seller (one-off, seller-full) → ~$50
• Enrich 100 product URLs with EAN/parameters/descriptions (product-urls) → ~$5.05

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 seller-listing for recurring runs. If you're monitoring prices daily, you don't need EAN/SKU/parameters every time — save ~88% 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.
• Raise maxRequestsPerCrawl for big catalogs — it's a hard cap on all requests (listing pages + products). For N products in seller-full, set it to at least N + number of listing pages.
• Increase minDelayMs/maxDelayMs if you see 403 errors spike. Default is polite but aggressive; 2000/5000 ms is safer for long runs.
• 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.

How to scrape Allegro programmatically? Run this actor from the Apify API or any of the official SDK clients (Node.js, Python). Start a run with a JSON input (scrapeMode, sellerUrl/productUrls, maxProducts), then poll the run or read the dataset endpoint to pull results as JSON/CSV. You can also trigger runs on a schedule or via webhook — no servers or proxies to manage on your side.

What's the cheapest Allegro price monitoring tool? Use seller-listing mode at $6/1000 products — it reads only the catalog listing (URL, name, price, main image) without opening each product page, so it's fast and repricer-friendly. Schedule it to re-run every few hours for continuous competitor price tracking.

How to extract EAN codes from Allegro? Use seller-full or product-urls mode. The actor opens each product page and reads the full parameter table, returning the EAN (GTIN-13) in the ean field plus the manufacturer code (sku) and 36+ other parameters. Ideal for matching Allegro offers to your own inventory by barcode.

Can I sync Allegro to BaseLinker automatically? The output format is BaseLinker-compatible (EAN, SKU, name, price, images, description, parameters), so you can import it into your BaseLinker inventory today. A native Allegro → BaseLinker auto-push is on our roadmap (see footer). Need it now, or a custom BaseLinker workflow? Klevio specializes in BaseLinker integrations — support@klevio.pl.

Does this work with business.allegro.pl? Yes. Both https://allegro.pl/uzytkownik/<seller> and https://business.allegro.pl/uzytkownik/<seller> URLs are supported — the actor normalizes them automatically.

How to bypass DataDome on Allegro? Allegro is protected by DataDome, which blocks naive scrapers. This actor routes through a Bright Data Scraping Browser that solves the JS/anti-bot challenge, then extracts the rendered page — so you don't configure anything. The managed proxy is included in the per-product price; power users can plug in their own Bright Data account via brightDataWssUrl.

Why do runs sometimes take a while? seller-full visits each product page individually and waits for the DataDome challenge to resolve — budget ~30 seconds per product. seller-listing is fast: ~10 seconds per 60-product page. Raise maxConcurrency to scrape more products in parallel.

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 this actor — we're keeping it focused on seller catalogs. These are shipping as dedicated actors in our Polish e-commerce suite (see the footer for the roadmap). Want one sooner? Open an Issue or email support@klevio.pl.

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? Built and maintained by Klevio. Response time to Issues: <48h (usually same day). Launched April 2026, updated continuously.

More Polish e-commerce scrapers by Klevio

Building a complete suite of Polish e-commerce data tools:

• 🛒 Allegro Seller Scraper — Full seller catalog (this actor)
• 🔍 Allegro Product Offers Scraper — Given an EAN, find all sellers + prices (coming Q3 2026)
• ⭐ Allegro Reviews Scraper — Reviews + ratings extraction (coming Q4 2026)
• 🏪 OLX Seller Scraper — Same model for OLX marketplace (coming Q4 2026)
• 🔄 Allegro → BaseLinker Sync — Auto-push scraped data to BaseLinker inventory (coming 2027)

Want a custom Polish e-commerce scraper now? → support@klevio.pl

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

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