Zara Product Description Scraper

Turn any Zara.com product URL into clean, structured JSON — name, price, colors, sizes, images, materials, stock status and more. Built on Apify, with a defined input/output schema so it plugs straight into scripts, dashboards, and AI agents (Claude, GPT, and any LLM tool-caller via the Apify MCP Server).

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Why use this Actor

• One input, full product record. Give it a Zara product URL, get back pricing, colors (with hex codes), size availability, images, materials, categories, and stock in one call.
• Works across Zara's global storefronts. Handles regional currencies, languages, and locale-specific catalogs automatically.
• Agent-ready by design. Ships with a machine-readable output schema (​.actor/output_schema.json + dataset_schema.json), so AI agents and orchestration frameworks know exactly what fields to expect without guesswork.
• Batch or single. Pass one URL or hundreds — each result streams to the dataset as soon as it's scraped.
• No maintenance required. Runs on Apify's infrastructure with automatic retries and proxy handling.

What you get (output fields)

Field	Description
id	Zara internal product ID
name	Product name
description	Full product description
brand	Brand information
reference	Product reference / SKU
displayReference	Reference shown on-site
pricing	Current price, currency, and discount data
colors	Available colors, incl. hex codes
images	Product image URLs (multiple angles)
detailedComposition	Materials and care instructions
section / sectionName	Store section (e.g. Woman, Man, Kids)
familyId / familyName	Product family / category
subfamilyId / subfamilyName	Product subcategory
kind / type / state	Product classification and availability state
keyword	URL-friendly product keyword/slug
relatedProducts	Related/cross-sell products
firstVisibleDate	Date the product first went live

Input

Just one field — an array of Zara product URLs:

{
  "productUrls": [
    { "url": "https://www.zara.com/us/en/ruched-asymmetric-top-p01131347.html" },
    { "url": "https://www.zara.com/us/en/sequin-mini-dress-p04772368.html" }
  ]
}

Field	Type	Required	Description
productUrls	Array<Object>	Yes	List of { "url": "..." } objects — any Zara product page URL, any locale

Example output

{
  "id": "551557623",
  "name": "LEATHER SPORTS SHOE",
  "description": "Leather sports shoe. Topstitching detail on the upper...",
  "reference": "1301/700",
  "pricing": { "price": 5990, "currency": "USD" },
  "colors": [{ "name": "BLACK", "hexCode": "#000000" }],
  "sectionName": "HOME",
  "familyName": "FLAT SHOES",
  "state": "visible"
}

Using this Actor with AI agents

This Actor declares a formal output schema (actorOutputSchemaVersion) and dataset schema, which means agentic tools — Claude via the Apify MCP Server, GPT-based agents, LangChain/LlamaIndex tool-callers, or any framework that reads Apify Actor metadata — can discover it, understand its inputs/outputs, and call it without custom glue code.

Typical agent prompt this Actor satisfies directly:

"Look up the price, available colors, and materials for this Zara product: https://www.zara.com/..."

Connect it to Claude or another MCP-compatible agent through the Apify MCP Server, or call it directly via the Apify API / official SDKs (JavaScript, Python) from your own agent tools.

Quick start

1. Grab one or more Zara product URLs.
2. Paste them into productUrls (use the input UI, API, or an SDK).
3. Run the Actor — results appear in the dataset in real time, one item per product.
4. Export as JSON, CSV, Excel, or pull via the API.

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });
const run = await client.actor('pintostudio/zara-product-description').call({
    productUrls: [{ url: 'https://www.zara.com/us/en/ruched-asymmetric-top-p01131347.html' }],
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Sample use cases

• Price monitoring — track price and discount changes across a Zara catalog for competitive analysis.
• Inventory & availability tracking — monitor stock and size availability for specific SKUs.
• Catalog / feed building — populate a product database or comparison site with structured Zara data.
• Market & trend research — analyze descriptions, materials, and seasonal collections at scale.
• AI shopping assistants — give an LLM agent live product facts (price, color, stock) to answer shopper questions accurately.

Regional coverage

Zara serves different currencies, languages, and catalogs per country. This Actor reads the locale directly from the URL you provide and preserves all region-specific pricing and availability in the output — no extra configuration needed.

Related Actors

• Zara Product Search
• Zara Search Autocomplete

Support

Questions or issues? Reach out:

• Telegram: @pintoflow
• Email: pintoflowpt@gmail.com
• Apify Platform: message us directly through your Apify Console