Zara Scraper — Extract Zara data by country/language

Zara scraper with multi‑country and multi‑language support using Selenium, Scrapy and Scrapyd. Ideal for fashion e‑commerce.

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Details

Demo: https://www.zara.com/co/
Country: Colombia
Status: ✅ Production
Python: stylos/spiders/zara.py
Extractor: stylos/extractors/zara_extractor.py
Lines of code: 596
Domains: zara.com, www.zara.com, zara.net, static.zara.net, zara.com.co

Implemented Features

Full navigation of dynamic menus (hamburger + categories)
Categories: WOMEN and MEN with full subcategories
Advanced extraction: products, prices, descriptions, images
Images per color organized by variants
Infinite scroll with lazy-loaded products
Integrated Selenium with anti-detection
Pricing system with discount detection

Technical Capabilities

scrapy crawl zara                    # Full crawl
scrapy crawl zara -a url="URL"      # Single product
scrapy crawl zara -o products.json  # Export results

Extracted Data

Normalized product name
Full description
Original and current price
Discount percentage and amount
Automatically detected currency
Canonical product URL
Images organized by color
Extraction metadata (date, site)

FAQ

How to run the Zara scraper?⌄

Use scrapy: "scrapy crawl zara" or for a single product: "scrapy crawl zara -a url="URL"".

What data does the Zara scraper extract?⌄

Name, description, original/current price, discounts, currency, canonical URL, color images and metadata.

Docker Compose is up, can I run scraping with a script that talks to the API?⌄

Yes. Use the control_scraper.py script (it talks to the API to orchestrate scraping). Example (defaults to Colombia): python control_scraper.py --spider zara

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