Allegro Product Scraper

Extract structured product data from Allegro.pl — Poland's largest online marketplace (20M+ buyers) — by keyword, category or offer URL. Get prices, seller ratings, condition, delivery, images and category on every offer, and optionally enrich each one with its full detail page: parameters, description, stock, breadcrumbs, brand, location and the seller's business identity (company name, NIP/VAT tax id and registered city).

No login, OAuth or proxy setup — Allegro's DataDome anti-bot is handled for you. Output is clean JSON/CSV/Excel, ready for Google Sheets, BI tools or your CRM.

Who it's for

• Resellers & e-commerce sellers — track competitor prices, monitor condition and delivery, and benchmark your own listings.
• Brands & distributors — see who sells your products, at what price, and pull the seller's registered company + NIP for MAP and channel checks.
• Market researchers & analysts — build category price indexes and assortment snapshots across Poland's biggest marketplace.
• Lead-gen & sales teams — turn active sellers into B2B prospects with company name, tax id (NIP/VAT) and city (see also the Allegro Seller Leads Scraper).

What you get (output fields)

Field	Type	Description
offer_id	string	Allegro offer id
product_id	string	Product UUID (when present)
title	string	Offer title
url	string	Canonical offer URL
price	string	Price amount
currency	string	Currency (PLN)
price_with_delivery	string	Price incl. delivery, when shown
rating	number	Average product rating
rating_count	number	Number of reviews
seller_login	string	Seller username
seller_name	string	Seller display name
super_seller	boolean	Allegro "Super Sprzedawca" status
delivery	string	Delivery/shipping label
popularity	string	Popularity badge (e.g. "hit")
thumbnail	string	Listing image URL
category_id	string	Navigation category id
sponsored / promoted / featured	boolean	Ad flags
source_type / source_value	string	Which query/category/URL produced the row
scraped_at	string	ISO-8601 timestamp

With fullDetail enabled, each row also includes:

Field	Type	Description
name_full	string	Full product name from the detail page
price_formatted	string	Formatted price string
stock_available	number	Units available
brand	string	Brand name
category_name	string	Category name
breadcrumbs	array	Category breadcrumb trail
location_city / location_country	string	Item location
images	array	All product image URLs
parameters	array	Full spec parameters ({name, values})
description	string	Plain-text product description
seller_company_name	string	Registered company name
seller_tax_id	string	Seller NIP / EU VAT id
seller_company_city	string	Registered company city
seller_ratings	object	Seller rating summary
seo_title	string	Offer SEO title

High-value use cases

1. Competitor price monitoring — schedule a keyword or category run daily and push price changes into Sheets or a dashboard.
2. MAP / brand protection — find every seller of your product and capture their registered company + NIP to enforce minimum advertised price.
3. Assortment & catalog building — pull full parameters, images and descriptions to seed a product feed or PIM.
4. Market sizing — measure how many offers, sellers and price bands exist for a category in Poland.
5. Sales prospecting — identify active business sellers and enrich them with company/tax id for outreach.

Input parameters

Field	Type	Default	Description
searchQueries	array	["laptop"]	Keywords to search
categoryUrls	array	[]	Category pages/slugs to browse (no keyword)
offerUrls	array	[]	Direct offer URLs/ids (full detail)
fullDetail	boolean	false	Enrich each offer from its detail page
sort	enum	relevance	relevance, price_asc, price_desc, newest
condition	enum	any	any, new, used
minPrice / maxPrice	integer	—	Price range in PLN
includeSponsored	boolean	true	Include sponsored/promoted offers
maxItems	integer	100	Stop after this many offers
maxPagesPerQuery	integer	100	Max listing pages per query (~60/page)

At least one of searchQueries, categoryUrls or offerUrls is required.

Example input

{
    "searchQueries": ["ekspres do kawy", "drukarka laserowa"],
    "condition": "new",
    "minPrice": 200,
    "sort": "price_asc",
    "fullDetail": true,
    "maxItems": 200
}

Example output row (full detail)

{
    "offer_id": "18567803358",
    "title": "Drukarka wielofunkcyjna laserowa (mono) HP LaserJet M234dw",
    "url": "https://allegro.pl/oferta/18567803358",
    "price": "554.00",
    "currency": "PLN",
    "rating": 4.9,
    "rating_count": 51,
    "seller_login": "komtek",
    "super_seller": true,
    "brand": "HP",
    "location_city": "Kraków",
    "seller_company_name": "KOMTEK KONRAD WAJDA",
    "seller_tax_id": "677-172-96-99",
    "seller_company_city": "Kraków",
    "parameters": [{ "name": "Stan", "values": ["Nowy"] }],
    "detail_scraped": true,
    "scraped_at": "2026-08-28T10:00:00+00:00"
}

Scheduling & integrations

• Schedule runs (hourly/daily) from the Apify Console to track prices over time.
• Webhooks fire on run completion — push new data to your app, Make or Zapier.
• Export to JSON, CSV, Excel or feed the Apify dataset API into Google Sheets, BigQuery, S3 or a database.

Use from an AI agent (MCP)

This Actor is callable from AI assistants via the Apify MCP server, so an LLM agent can search Allegro and pull structured offers on demand. Point your MCP client at https://mcp.apify.com and call allegro-product-scraper with the same input.

FAQ

Do I need a proxy or an Allegro account? No. The Actor handles Allegro's DataDome anti-bot and location automatically.

How many results can I get? Allegro caps a single listing at ~6,000 offers (100 pages). Split by category, price band or additional keywords to collect more.

How fresh is the data? It is scraped live at run time. Schedule the Actor to keep a dataset current.

Why enable full detail? Listing rows are fast and cheap; full detail opens each offer's page for parameters, description, all images, stock and the seller's company/NIP — ideal for catalog building, MAP and lead-gen.

Is scraping Allegro legal? The Actor collects only publicly available data. You are responsible for using the output in line with applicable laws (e.g. GDPR) and Allegro's terms.

A few rows are missing detail fields. Occasionally an individual offer page can't be fetched; the Actor skips enrichment for that offer and still returns its listing row rather than failing the whole run.