Zara Home Products Scraper

Overview

This actor scrapes product data from Zara Home's website. It supports all country and language versions of the site and is built to handle the site's structure efficiently. The output is structured JSON data suitable for analysis or integration.

Key Features

• Comprehensive Data Extraction: Scrapes detailed product information including name, description, price, SKU, colors, sizes, category, composition, sustainability info, images, availability date, promotions, and product URL.
• Flexible Scraping Targets: You can scrape the entire site, specific category pages, or individual product pages.
• Multi-URL Support: Process multiple start URLs in a single run, even from different country domains (e.g., .com, .fr, .de).
• Built-in Deduplication: Returns unique products, minimizing duplicates when the same item appears across multiple categories.
• Cost-Efficient: Configured to use residential proxies (required to avoid blocking) and optimized for data transfer. Example: scraping ~1000 products costs approximately $0.24 and takes about 5 minutes.
• Structured Output: Provides both a flat summary of key fields (for easy CSV export) and a detailed nested JSON structure containing all variant data (colors, sizes, images).

How to Use

Configure the actor run via the Apify console or API using the input parameters below.

Input Configuration

The actor accepts the following input fields:

• startUrls (Required): An array of URLs to scrape. You can provide homepage, category, or direct product URLs.
  • Example: ["https://www.zarahome.com/gb/", "https://www.zarahome.com/de/bedroom-n1007"]
• maxProductsPerUrl: Maximum number of products to scrape from each provided startUrl. Default is 100.
• maxCategoriesPerUrl: Maximum number of categories to explore from each provided startUrl. Default is 20.

Output

The actor outputs a dataset of items, where each item represents a unique product. The data is in JSON format. Key fields include:

• name, description, price
• colors, sizes, category, mainImage (summary fields)
• colorsSizesImagesJSON (a detailed JSON object containing all variants, images, and specifics for each color/size combination)
• sku, composition, sustainability, url, and many more.

For integration into spreadsheets, the top-level colors, sizes, category, and mainImage fields provide a flattened view. For complete variant data, use the nested colorsSizesImagesJSON.

Notes & Known Considerations

• Output Format: JSON is used due to the nested nature of the product data (multiple colors/sizes per item).
• Result Count: The final number of items may be lower than maxProductsPerUrl. This happens because:
  • The scraper filters out dummy/empty products returned by the website.
  • The website may list color variations as separate products, but the scraper consolidates them into a single "product bundle" containing all variants.
• Scraping Challenges: Occasionally, requests may be blocked (resulting in 403 errors). If a run fails or stops prematurely, re-running it usually resolves the issue.
• Deduplication: While the actor deduplicates products, in highly concurrent scrapes a small number of duplicates may rarely slip through.

Resources

• Other scrapers in this series: Zara | Stradivarius | Pull&Bear | Bershka | MassimoDutti | Oysho | ZaraHome
• Apify Getting Started Guides:
  • Getting Started with Apify 1/4 - Introduction
  • Getting Started with Apify 4/4 - Integrations