Zara Similar Products Scraper

Find and extract similar products from Zara.com in seconds. Give this Actor a single Zara product URL and it returns full, structured data - name, price, currency, discounts, available colors, sizes, stock/demand, images, and category - for every product Zara itself surfaces as similar or related, across 80+ country and language locales.

Built on the Apify platform, this Zara scraper can be run manually from the Apify Console, triggered by the Apify API, scheduled to run automatically, or plugged straight into AI agents and LLM workflows (LangChain, LlamaIndex, CrewAI, AutoGen, custom GPTs, and any MCP-compatible client via the Apify MCP Server) as a live fashion-data tool.

Why use this Zara similar-products scraper?

• AI agent and LLM ready - expose Zara's own "similar products" recommendations as a callable tool for AI agents, RAG pipelines, and shopping copilots, with no HTML parsing or reverse engineering required on your side.
• No coding required - paste a product URL, pick a locale, click Run.
• Global coverage - 80+ Zara locales and countries, including the US, UK, Spain, France, Germany, Italy, Japan, South Korea, Brazil, Mexico, and more.
• Rich, structured output - price, discount and old price, stock/demand per size, hex color codes, product images, category/family, and the canonical product URL.
• Reliable and maintained - proxy-backed requests with automatic retries, returning clean JSON ready for a dataset, spreadsheet, or downstream API.
• Instant integrations - export straight to Google Sheets, Excel/CSV, Zapier, Make, webhooks, or your own database, no extra code.

Who is this scraper for?

• E-commerce and fashion teams running competitor price monitoring, assortment planning, and trend analysis.
• Dropshippers and resellers looking for trending, similar, or alternative products to list.
• Price-comparison and cashback platforms that need live, structured Zara data.
• Developers and AI/ML engineers building shopping assistants, recommendation engines, or RAG knowledge bases grounded in real product data, not stale training data.
• Market researchers tracking fashion pricing and trends across regions.

How it works

1. Provide a productUrl for any live product page on zara.com.
2. Optionally choose a locale (defaults to en_US) to search a specific Zara country store and language.
3. The Actor resolves the product on Zara's own catalog, requests Zara's internal "customers also viewed / similar products" recommendation feed for that product ID, and normalizes every recommended product into clean, consistent JSON.
4. Results are pushed to the run's default dataset (one item per similar product found) and a run summary is also saved to the key-value store.

Input

Field	Type	Required	Description
productUrl	string	Yes	Full URL of a Zara product page, e.g. https://www.zara.com/us/en/flat-jelly-sandals-p11309800.html
locale	string (enum)	No, default en_US	Language and country locale in language_COUNTRY format (e.g. es_ES, de_DE, fr_FR, en_GB, ja_JP)

See the Input tab for the full list of 80+ supported locales.

Output example

Each item pushed to the dataset represents one similar product and looks like this (trimmed for readability):

{
  "id": "409877385",
  "name": "FLAT JELLY SANDALS",
  "reference": "2318/310",
  "description": "Flat sandals. Padded straps...",
  "pricing": { "value": "39.90", "currency": "USD" },
  "colors": [
    {
      "name": "Black",
      "hexCode": "#000000",
      "price": "39.90",
      "sizes": [ { "description": "39", "sku": 416727195, "demand": "low_stock" } ],
      "images": ["https://static.zara.net/assets/.../image.jpg"]
    }
  ],
  "images": ["https://static.zara.net/assets/.../image1.jpg"],
  "familyName": "Sandals",
  "sectionName": "WOMAN",
  "url": "https://www.zara.com/us/en/flat-jelly-sandals-p11309800.html"
}

A full JSON Schema of every field (including all color, size and pricing sub-fields) is defined in the Actor's dataset schema and shown in the Output tab.

Grab the full results via Dataset -> Export (JSON, CSV, Excel, XML, RSS) or through the Apify API/SDK.

Using this Actor with AI agents and LLMs

This Actor is designed to work as a tool call for AI agents: instead of letting an LLM guess or hallucinate product data from stale training data, give it a Zara product URL and let it fetch live, structured "similar products" data on demand. Typical patterns:

• MCP tool - connect through the Apify MCP Server so any MCP-compatible agent (Claude, Cursor, custom agents) can call this Actor directly as a tool, no custom integration code needed.
• RAG pipelines - feed the JSON output into a vector store to ground a shopping assistant or chatbot in real, current Zara catalog data.
• Agent frameworks - call the Actor via the Apify API or the apify-client SDK from LangChain, LlamaIndex, CrewAI, AutoGen, or n8n/Make/Zapier AI workflows.
• Function/tool calling - wrap the Actor's input and output schema as an OpenAI or Anthropic function/tool definition for structured, reliable calls.

Integrations

Connect this Actor to Zapier, Make, Slack, Airbyte, GitHub, Google Sheets, Google Drive, and more using Apify Integrations, or configure webhooks to trigger downstream workflows on every completed run.

Cost and performance

A typical run for one product URL finishes in well under a minute and uses a small fraction of a compute unit. See the Pricing tab for exact numbers and the actor's pay-per-usage details.

FAQ

Does this Actor scrape Zara's whole catalog? No. It takes one product URL as a "seed" and returns the similar/recommended products that Zara itself surfaces for that item, in the locale you choose.

Can I run this on a schedule? Yes. Use Apify Schedules to run it hourly, daily, or weekly and track price, stock, or assortment changes over time.

Which countries and languages are supported? 80+ Zara locales, including the US, UK, Spain, France, Germany, Italy, Portugal, Netherlands, Japan, South Korea, China, Hong Kong, Taiwan, Australia, Canada, Brazil, Mexico, Argentina, Chile, Colombia, Peru, Thailand, Vietnam, Indonesia, and more.

Can I use this with ChatGPT, Claude, or my own AI agent? Yes. Call the Actor through the Apify API, the Apify MCP Server, or any HTTP client from your agent or automation framework, then feed the returned JSON straight into your LLM's context or a vector database.

Is this Actor affiliated with Zara or Inditex? No. This is an independent tool built on publicly available data from zara.com and is not affiliated with, endorsed by, or sponsored by Zara or Inditex.

Related

Looking for more retail and fashion scrapers, or want a custom AI agent integration? Check out Pinto Studio's other Actors on the Apify Store.