Primark Scraper — Fashion & Home Products Catalog & Prices

Scrape Primark's full product catalog with prices, images, and availability. Covers 16 European countries plus the US — fashion, home, beauty, and kids products from Europe's largest fast-fashion retailer.

Why use this scraper?

Primark has no e-commerce and no public API. This is the only way to get structured product data at scale:

• Price monitoring across 16 countries and multiple currencies (GBP, EUR, USD, PLN, CZK, RON)
• Catalog tracking — new arrivals, discontinued items, seasonal changes
• Competitive intelligence — compare Primark pricing vs H&M, Zara, SHEIN
• Market research — product assortment differences between countries
• Click & Collect availability tracking

Features

• Scrape by category (e.g., Women > Clothing > Dresses) or search query
• 16 countries supported: UK, Ireland, Belgium, Netherlands, Germany, Austria, France, Spain, Portugal, Italy, Czech Republic, Poland, Romania, Slovakia, Slovenia, USA
• Automatic pagination — "Load More" handling
• Deduplication — no duplicate products in output
• Product name, price, currency, color, image URL, category
• Click & Collect availability detection

Input

Parameter	Type	Description	Default
startUrls	array	Category or product page URLs	Women's Dresses
searchQuery	string	Search keyword (overrides startUrls)	—
country	enum	Country store (determines locale + currency)	gb
maxResults	integer	Max products to return (1–10,000)	100
proxyConfiguration	object	Proxy settings for reliability	—

Supported countries

gb (UK), ie (Ireland), be-en / be-nl / be-fr (Belgium), nl (Netherlands), de (Germany), at (Austria), fr (France), es (Spain), pt (Portugal), it (Italy), cz (Czech Republic), pl (Poland), ro (Romania), sk (Slovakia), si (Slovenia), us (USA)

Example input

{
    "searchQuery": "summer dress",
    "country": "gb",
    "maxResults": 50
}

Or scrape a specific category:

{
    "startUrls": [
        { "url": "https://www.primark.com/en-gb/c/women/clothing/dresses" }
    ],
    "maxResults": 200
}

Output

Each product in the dataset contains:

{
    "name": "Midi Shirt Dress",
    "brand": "Primark",
    "price": 18,
    "currency": "GBP",
    "url": "https://www.primark.com/en-gb/p/midi-shirt-dress-navy-991163842528",
    "imageUrl": "https://cdn.media.amplience.net/i/primark/991163842528_01",
    "color": "navy",
    "colorCount": 3,
    "clickAndCollect": true,
    "scrapedAt": "2026-04-03T12:00:00.000Z"
}

Output fields

Field	Type	Description
name	string	Product name
brand	string	Always "Primark"
price	number	Current price in local currency
currency	string	Currency code (GBP, EUR, USD, etc.)
url	string	Direct link to product page
imageUrl	string	Product image URL
color	string	Color variant (extracted from URL)
colorCount	number	Number of available colors
clickAndCollect	boolean	Whether Click & Collect is available
category	string	Product category path
description	string	Product description (product pages only)
scrapedAt	string	ISO timestamp

Tips

• Start with categories for structured data collection. Search is better for finding specific items.
• Use proxies for runs over 200 products to avoid rate limiting.
• Country matters — prices, availability, and even product assortment differ between countries.
• Primark uses Akamai bot protection, so this actor uses a full browser (Playwright).

Cost estimate

• ~50 products/minute with a single browser
• 100 products ≈ 2 minutes ≈ $0.02 on Apify platform
• 1,000 products ≈ 20 minutes ≈ $0.20 on Apify platform

Changelog

v0.1 (2026-04-03)

• Initial release
• Category and search scraping
• 16 country support
• Pagination via "Load More"