🛒 Allegro.pl Polish Marketplace Scraper

🚀 Pull product listings from Allegro.pl in minutes. Titles, prices, sellers, ratings, shipping. No login, no API key, no manual CSV wrangling.

🕒 Last updated: 2026-05-08 · 📊 12+ fields per product · 🇵🇱 Allegro Poland · 🚫 No auth required

Pull structured records from Allegro — clean fields ready as CSV, JSON, JSONL, Excel, or XML for downstream pipelines.

Copy to your AI assistant

Copy this block into ChatGPT, Claude, Cursor, or any LLM to start using this actor.

parseforge/allegro-scraper on Apify. Call: ApifyClient("TOKEN").actor("parseforge/allegro-scraper").call(run_input={...}), then client.dataset(run["defaultDatasetId"]).list_items().items for results. Key inputs: startUrl (string, default "https://allegro.pl/listing?string=laptop"), maxItems (integer, default 10), searchQuery (string), sortBy (string). Full actor spec: fetch build via GET https://api.apify.com/v2/acts/parseforge~allegro-scraper (Bearer TOKEN). Get token: https://console.apify.com/account/integrations

Pull live product listings from Allegro.pl, Poland's largest e-commerce marketplace. The actor accepts any Allegro listing URL (you build it on allegro.pl with the filters you want) or a free-text search query, paginates through results, and returns one structured record per product ready for price monitoring, competitor research, market entry analysis, or marketplace seller intelligence.

Every run fetches data live so you get the current state of Allegro at run time, not a stale dump. Records include the product title, image, price, currency (PLN), seller name and rating, review count, free shipping flag, and a back-reference URL to the canonical Allegro page.

👥 Built for	🎯 Primary use cases
Price intelligence teams	Track Allegro prices vs other channels
Marketplace sellers	Benchmark competitors in your category
Brand and trade marketing	Monitor MAP/MSRP compliance in Poland
Procurement	Source verified suppliers from Allegro
E-commerce analysts	Build Polish market dashboards
Researchers	Study CEE e-commerce trends

---

📋 What the Allegro Scraper does

• 🛒 Product listings. Title, image, price, currency, and direct product URL.
• 👤 Seller info. Seller name and seller rating where Allegro exposes it.
• ⭐ Ratings and reviews. Per-product rating and review count.
• 🚚 Shipping flags. Free-shipping indicator.
• 🔍 Search and URL inputs. Pass a free-text query or paste an Allegro listing URL with your filters.
• 🔄 Sort options. Best-selling, price ascending or descending, newest, or default relevance.

The scraper accepts a search query OR a listing URL. When given a URL, it inherits all filters and sort settings already encoded in the URL. It walks the result pages, fetches each product card, and pushes structured records to the dataset.

💡 Why it matters: Allegro is the largest marketplace in Poland with over 14M active buyers, but its UI is paginated and lacks bulk export. A live, structured pull beats manual scraping for price monitoring, competitor benchmarking, and market entry research.

---

🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing setup, a live run, and how to pipe results into Google Sheets via Apify integrations.

---

⚙️ Input

Field	Type	Name	Description
startUrl	string	Start URL	Allegro listing or search page URL. Browse allegro.pl with your filters and paste the URL here.
searchQuery	string	Search Query	Free-text product keyword (e.g. laptop, iPhone 15, Nike buty). Overrides Start URL.
maxItems	integer	Max Items	Free users: limited to 10 items (preview). Paid users: optional, max 1,000,000.
sortBy	enum	Sort By	qd (Best Selling), p (Price asc), pd (Price desc), n (Newest), or empty (Relevance).

Example 1. Search for laptops, sorted by price ascending.

{
  "searchQuery": "laptop",
  "sortBy": "p",
  "maxItems": 50
}

Example 2. Direct URL with category filters already applied.

{
  "startUrl": "https://allegro.pl/kategoria/laptopy-491?bmatch=baseline-product-cl-eyesa2-engag-dict48-ele-1-3-0218&parameter%5B11323%5D=11323_2",
  "maxItems": 100
}

⚠️ Good to Know: when searchQuery is set, it overrides startUrl. Use startUrl when you need to apply complex Allegro filters that would not fit in a simple keyword search.

---

📊 Output

The dataset returns one structured record per product. Each record carries identifiers, title, image, price, currency, seller, rating, review count, shipping flag, and a back-reference URL. Consume the dataset as JSON, CSV, Excel, XML, or RSS via the Apify console or API.

🧾 Schema

Field	Type	Example
🖼️ imageUrl	string (url)	https://a.allegroimg.com/original/abc/laptop.jpg
📝 title	string	Laptop Lenovo IdeaPad 5 14" Ryzen 7 16GB SSD 512GB
🔗 url	string (url)	https://allegro.pl/oferta/laptop-lenovo-ideapad-5-14-...
💰 price	number	2899.0
💱 currency	string	PLN
👤 seller	string	MediaExpert
⭐ sellerRating	number or null	4.9
📊 rating	number or null	4.8
💬 reviewCount	number or null	127
🚚 freeShipping	boolean	true
📦 available	boolean	true
📅 scrapedAt	ISO datetime	2026-05-08T12:00:00.000Z

📦 Sample records

1. Typical record (laptop with full detail)

{
  "imageUrl": "https://a.allegroimg.com/original/abc/laptop.jpg",
  "title": "Laptop Lenovo IdeaPad 5 14\" Ryzen 7 16GB SSD 512GB",
  "url": "https://allegro.pl/oferta/laptop-lenovo-ideapad-5-14-ryzen-7-16gb-ssd-512gb-12345678",
  "price": 2899.0,
  "currency": "PLN",
  "seller": "MediaExpert",
  "sellerRating": 4.9,
  "rating": 4.8,
  "reviewCount": 127,
  "freeShipping": true,
  "available": true,
  "scrapedAt": "2026-05-08T12:00:00.000Z"
}

2. Marketplace seller record (no rating)

{
  "imageUrl": "https://a.allegroimg.com/original/def/shoes.jpg",
  "title": "Buty Nike Air Max 90 Białe Skórzane Rozm. 42",
  "url": "https://allegro.pl/oferta/buty-nike-air-max-90-bialej-skorzane-rozm-42-23456789",
  "price": 449.99,
  "currency": "PLN",
  "seller": "Sklep_Sportowy_PL",
  "sellerRating": 4.7,
  "rating": null,
  "reviewCount": null,
  "freeShipping": false,
  "available": true,
  "scrapedAt": "2026-05-08T12:00:00.000Z"
}

3. Sparse record (out of stock)

{
  "imageUrl": "https://a.allegroimg.com/original/xyz/phone.jpg",
  "title": "iPhone 15 Pro 256GB Naturalny Tytan",
  "url": "https://allegro.pl/oferta/iphone-15-pro-256gb-naturalny-tytan-99999999",
  "price": null,
  "currency": "PLN",
  "seller": "AppleAuthorizedReseller",
  "available": false,
  "scrapedAt": "2026-05-08T12:00:00.000Z"
}

---

✨ Why choose this Actor

	Capability
🎯	Built for the job. Scoped specifically to Allegro.pl so you skip the parser engineering entirely.
🔖	Structured output. Clean, typed fields ready for analysis, dashboards, or downstream pipelines.
⚡	Fast. Optimized request patterns return results in seconds, not minutes.
🔁	Always fresh. Every run pulls live data, so the dataset reflects Allegro as of run time.
🌐	No infra to manage. Apify handles proxies, retries, scaling, scheduling, and storage.
🛡️	Reliable. Battle-tested across many runs and edge cases, with graceful error handling.
🚫	No code required. Configure in the UI, run from CLI, schedule via cron, or call from any language with the Apify SDK.

📊 Production-grade structured marketplace data without the engineering overhead of building and maintaining your own scraper.

---

📈 How it compares to alternatives

Approach	Cost	Coverage	Refresh	Filters	Setup
⭐ Allegro Scraper (this Actor)	$5 free credit, then pay-per-use	Full Allegro catalog	Live per run	Source-native filters via URL or search	⚡ 2 min
Build your own scraper	Engineering hours	Full once built	Whenever you maintain it	Custom code	🐢 Days to weeks
Paid live APIs	$$$ monthly	Vendor-defined	Live	Vendor-defined	⏳ Hours
Manual price monitoring	Hours per check	Limited	Stale	Manual	🕒 Variable

Pick this Actor when you want broad coverage, source-native filtering, and no pipeline maintenance.

---

🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the Allegro Scraper page on the Apify Store.
3. 🎯 Paste a URL or query. Either paste an Allegro listing URL or set searchQuery, then set maxItems.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

---

💼 Business use cases

📊 Price intelligence Track Allegro prices vs Amazon, Ebay, retailer DTC Monitor price drops and promotional pricing Build comp sets across SKUs and brands Alert on competitor undercutting	🏢 Brand and trade marketing Monitor MAP/MSRP compliance from authorized sellers Spot grey-market resellers in Poland Track shelf share by category Build assortment dashboards by brand
🎯 Sourcing and procurement Source suppliers from Allegro merchant catalog Validate supplier pricing across products Build approved-vendor lists for Polish purchases Source contingent inventory for spikes	🛠️ Engineering and product Prototype price-comparison products without owning a crawler Replace fragile in-house Allegro scrapers Wire datasets into your apps via the Apify API or webhooks Skip the proxy, retry, and parsing maintenance entirely

---

🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia Empirical datasets for papers, thesis work, and coursework Longitudinal studies tracking changes across snapshots Reproducible research with cited, versioned data pulls Classroom exercises on data analysis and ethical scraping	🎨 Personal and creative Side projects, portfolio demos, and indie app launches Data visualizations, dashboards, and infographics Content research for bloggers, YouTubers, and podcasters Hobbyist collections and personal trackers
🤝 Non-profit and civic Transparency reporting and accountability projects Advocacy campaigns backed by public-interest data Community-run databases for local issues Investigative journalism on public records	🧪 Experimentation Prototype AI and machine-learning pipelines with real data Validate product-market hypotheses before engineering spend Train small domain-specific models on niche corpora Test dashboard concepts with live input

---

🔌 Automating Allegro Scraper

This Actor exposes a REST endpoint, so you can drive it from any language or workflow tool.

• Node.js - call it via the Apify JS SDK.
• Python - call it via the Apify Python SDK.
• REST - hit it directly through the Apify v2 API.

Schedules. Use Apify Scheduler to capture daily price snapshots. Combine with the Apify dataset diff tools to alert on price changes between runs.

---

❓ Frequently Asked Questions

🔌 Integrate with any app

Allegro Scraper connects to any cloud service via Apify integrations:

• Make - Automate multi-step workflows
• Zapier - Connect with 5,000+ apps
• Slack - Get run notifications in your channels
• Airbyte - Pipe results into your warehouse
• GitHub - Trigger runs from commits and releases
• Google Drive - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a run finishes. Push fresh data into your product backend or alert your team in Slack.

---

🔗 Recommended Actors

• 🛒 Amazon Scraper - Amazon product listings with prices, ratings, and details
• 🛍️ eBay Scraper - eBay listings with prices and seller info
• 🛒 Mercari Scraper - Marketplace listings with values and seller information
• 🛒 Idealo Scraper - German price comparison aggregator
• 🛒 Walmart Scraper - Walmart product catalog with prices and availability

💡 Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.

---

🆘 Need Help? Open our contact form to request a new scraper, propose a custom project, or report an issue.

---

⚠️ Disclaimer. This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Allegro.pl or any of its subsidiaries. All trademarks mentioned are the property of their respective owners. The scraper accesses only publicly available pages and is intended for legitimate research, analytics, and lead-generation use. Users are responsible for compliance with the source site's Terms of Service and applicable law.