Zara Scraper

Pull product data from zara.com, the Inditex flagship fashion retailer. This scraper reads directly from Zara's own category-listing API, so it returns clean, structured data — name, price, stock, category, images — for every product in a category, not just what's visible without scrolling.

How to scrape Zara data

Give the actor one or more Zara category page URLs (copy them straight from your browser, e.g. https://www.zara.com/be/en/woman-dresses-l1066.html) and it resolves the site's internal category id, calls Zara's own listing endpoint, and returns every product in that category up to maxResults. There's no pagination to configure — Zara's category grid loads as a single response per category, and the actor fetches it in one call.

Zara sits behind Akamai's bot-management layer: a plain request to any zara.com path, including robots.txt, gets blocked at the edge with no challenge even offered. This actor routes every request through Bright Data's Web Unlocker, which clears the block, so you don't need your own proxy or browser-automation setup.

Under the hood, a Zara category page doesn't server-render its product grid — only a 10-item SEO snippet ships in the HTML. The real grid loads client-side from zara.com/{country}/{lang}/category/{id}/products?ajax=true, where {id} is an internal category id, not the id shown in the page URL. This actor resolves that mapping itself via Zara's own category-tree endpoint, so you only ever need to paste in a normal category URL.

If you don't provide any input, it defaults to scraping Zara Belgium's "Dresses — View All" category as a demo.

Input

Field	Type	Description
categoryUrls	array of strings	Zara category page URLs, e.g. "https://www.zara.com/be/en/woman-dresses-l1066.html". Up to 25 per run.
maxResults	integer	Cap on number of products returned across all category URLs (default: 100)
brightDataApiKey	string	Your own Bright Data API key, if you want to use your own Web Unlocker zone instead of the actor's built-in one
proxyConfiguration	object	Not used — this actor reaches zara.com exclusively through Bright Data, which handles unblocking on its own. Kept for input-shape compatibility.

What you get back

Field	Type	Example
name	string	"DRESS WITH CONTRASTING STRAPS AND STUDS - THE ITEM"
brand	string	"Zara"
price	number	149
originalPrice	number | null	Pre-discount price, only present when Zara marks a markdown
currency	string	"EUR"
sku	string | null	"00450150-I2026"
productId	string | null	"545494535"
inStock	boolean | null	true (null only when Zara doesn't state in/out of stock, e.g. "coming soon")
url	string	Full product page URL
imageUrl	string | null	Primary product image
imageUrls	array	Up to 8 product images for the first available color
category	string | null	Family / subfamily label, e.g. "DRESS / W.DRESS"
description	string | null	Product description, when Zara publishes one on the listing
specs	object	Currently the primary color name, e.g. {"color": "Ecru"}
scrapedAt	string	ISO timestamp

Sample output

{
  "name": "DRESS WITH CONTRASTING STRAPS AND STUDS - THE ITEM",
  "brand": "Zara",
  "price": 149,
  "currency": "EUR",
  "url": "https://www.zara.com/be/en/dress-with-contrasting-straps-and-studs---the-item-p00450150.html",
  "scrapedAt": "2026-09-04T09:23:03.273Z",
  "sku": "00450150-I2026",
  "productId": "545494535",
  "inStock": true,
  "imageUrl": "https://static.zara.net/assets/public/4cf5/aa49/2ffb45f08c8d/2977360bd876/00450150712-p/00450150712-p.jpg",
  "imageUrls": [
    "https://static.zara.net/assets/public/4cf5/aa49/2ffb45f08c8d/2977360bd876/00450150712-p/00450150712-p.jpg",
    "https://static.zara.net/assets/public/8e18/df42/1a3040e8bf79/4db70e869bea/00450150712-a1/00450150712-a1.jpg"
  ],
  "category": "DRESS / W.DRESS",
  "specs": { "color": "Ecru" },
  "scrapedAt": "2026-09-04T09:23:03.273Z"
}

Use cases

• Price monitoring — track Zara's own price and markdown changes over time on the styles you sell against.
• Assortment research — see which categories, families and colorways Zara is pushing at any given moment, across markets.
• Market comparison — Zara is the largest single fashion retailer in Europe, making it a standard reference point when benchmarking fast-fashion pricing.
• Stock tracking — inStock flags items Zara has pulled from a category before you have to check by hand.

Coverage

Category ids are shared across Zara's European storefronts — the same category id returns localized names and prices under any {country}/{lang} path (e.g. /be/en/, /de/de/, /fr/fr/). Point categoryUrls at the storefront you need; there's no separate country setting.

Performance and cost

Every request goes through Bright Data's Web Unlocker, but a category listing returns 300–500+ products in a single call, so the Bright Data cost per result is a small fraction of a cent. A 100-product run typically completes in under a minute. Your run's usage cost only settles after the run reports SUCCEEDED — checking cost mid-run will undercount it.

Limitations

• Input is category URLs, not free-text search — Zara's own site search endpoint wasn't confirmed during this build, so search isn't supported yet.
• originalPrice is only populated when Zara marks an item as discounted on the listing itself; full-price categories will show it as absent on every item, which is correct, not missing data.
• Ratings and review counts aren't exposed on the listing endpoint, so they're not included in the output.
• Per-size stock isn't included — only an overall inStock flag for the product's default color.
• If Zara restructures its category-tree or product-listing endpoints, the actor will need updating — it depends on the exact shape of categories?ajax=true and category/{id}/products?ajax=true.

Related scrapers

If you're covering European fashion more broadly, also check out:

• Mytheresa Scraper — luxury fashion e-tail, full per-size stock
• Farfetch Scraper — luxury multi-brand marketplace
• Vinted Scraper — European resale/secondhand fashion

Support

Found an issue or need a market that isn't resolving correctly? Open an issue on this actor's Apify Store page and we'll take a look.