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E-Commerce Product Scraper

Extract structured product data from any e-commerce website — title, price, original price, currency, availability, images, specs, reviews, and more.

Works with 100+ online stores worldwide. Uses a 5-layer extraction engine (JSON-LD with ProductGroup variant resolution, Open Graph, Microdata, expanded CSS heuristics with 30+ selectors, and smart old-price detection). HTTP-first fetching with automatic Playwright fallback for JavaScript-heavy sites. TLD-based currency inference for 30+ countries.

Features

• Universal extraction — works with any e-commerce site, not just specific stores
• 4-layer parsing — JSON-LD → Open Graph → Microdata → CSS heuristics for maximum coverage
• Smart rendering — tries fast HTTP first; switches to headless browser only when needed
• Structured output — clean JSON with title, price, currency, stock status, images, brand, SKU, specs
• Multi-currency — auto-detects UAH, USD, EUR, GBP, PLN, CZK, RON
• Breadcrumbs — extracts product category path when available
• Proxy support — works with Apify proxy for anti-bot bypass

Supported Stores (tested)

*AliExpress requires Playwright mode (set forcePlaywright: true)

The scraper also works with any other e-commerce site that uses standard product markup (JSON-LD, Open Graph, or Microdata) — which is the vast majority of online stores.

Input

{
"urls":[
"https://rozetka.com.ua/ua/some-product/p123456/",
"https://www.amazon.com/dp/B0EXAMPLE/"
],
"forcePlaywright":false,
"maxConcurrency":5
}

Output

Each product is saved to the dataset as a JSON object:

{
"url":"https://rozetka.com.ua/ua/samsung-galaxy-s24/p395058825/",
"store":"rozetka.com.ua",
"title":"Samsung Galaxy S24 Ultra 12/256GB Titanium Black",
"price":51999.0,
"currency":"UAH",
"in_stock":true,
"image":"https://content.rozetka.com.ua/...",
"brand":"Samsung",
"sku":"SM-S928BZKDSEK",
"description":"Смартфон Samsung Galaxy S24 Ultra...",
"rating":4.8,
"review_count":342,
"breadcrumbs":["Смартфони","Samsung","Galaxy S24"],
"extraction_method":"json-ld"
}

Output fields

How it works

The scraper uses a 4-layer extraction strategy, running each layer in order and filling in missing data:

1. JSON-LD (highest confidence) — parses <script type="application/ld+json"> with @type: Product
2. Open Graph — reads <meta property="og:*"> and <meta property="product:*"> tags
3. Microdata — finds itemscope itemtype="schema.org/Product" attributes
4. CSS Heuristics — falls back to common CSS selector patterns for price, title, etc.

If HTTP fetch returns weak data (no title or no price), the scraper automatically retries with a headless Chromium browser (Playwright) to handle JavaScript-rendered pages.

Use Cases

• Price monitoring — track competitor prices across multiple stores
• Market research — collect pricing data for analysis
• Product catalog — build product databases from multiple sources
• Dropshipping — check prices and availability across suppliers
• Price comparison — aggregate offers for the same product

Tips

• For best results with protected sites (Cloudflare, AWS WAF), enable Apify Proxy
• Set forcePlaywright: true for sites known to require JavaScript (AliExpress, some fashion stores)
• Keep maxConcurrency at 3-5 for sites with aggressive rate limiting
• The scraper respects robots.txt — use responsibly

Cost estimate

*Based on Apify platform pricing. Actual costs depend on page complexity and proxy usage.