Competitor Price Tracker

Track competitor product prices across Amazon, Shopify, WooCommerce, and any generic e-commerce site. Extracts price, currency, availability, and product name automatically.

What it does

This Actor takes a list of product URLs and returns structured pricing data for each. It uses a smart detection pipeline:

1. JSON-LD structured data (most accurate)
2. OpenGraph meta tags (og:price:amount)
3. CSS heuristics as a fallback for unstructured pages

For specific platforms, specialized scrapers kick in:

Platform	Method
Amazon	Playwright (headless browser) to bypass bot detection
Shopify	/products/{handle}.json API first, then DOM fallback
WooCommerce	JSON-LD from product pages
Other sites	Generic pipeline (JSON-LD → OpenGraph → CSS)

Input

Field	Type	Required	Description
urls	Array of strings	Yes	Product page URLs to scrape
maxRetries	Integer (0–10)	No	Retry attempts per URL (default: 3)
proxyCountry	String	No	ISO country code for proxy (default: US)

Example input

{
  "urls": [
    "https://www.amazon.com/dp/B0DGRCKHR9",
    "https://www.allbirds.com/products/mens-wool-runners",
    "https://example-store.myshopify.com/products/classic-tee"
  ],
  "maxRetries": 3,
  "proxyCountry": "US"
}

Output

Each URL produces one result in the dataset:

Field	Type	Description
url	String	The original URL
productName	String	Detected product name
price	Number	Normalized price value
currency	String	Currency code (USD, EUR, GBP, etc.)
availability	String	Stock status (In Stock / Out of Stock)
scrapedAt	String	ISO 8601 timestamp
success	Boolean	Whether scraping succeeded
error	String	Error message if failed

Example output

{
  "url": "https://www.allbirds.com/products/mens-wool-runners",
  "productName": "Men's Wool Runners",
  "price": 110,
  "currency": "USD",
  "availability": "Out of Stock",
  "scrapedAt": "2026-02-25T10:30:00.000Z",
  "success": true,
  "error": null
}

Use cases

• E-commerce price monitoring — Track competitor prices daily and get alerted on changes
• Market research — Collect pricing data across multiple brands and categories
• Dynamic pricing — Feed competitor prices into your own pricing algorithms
• MAP compliance — Monitor minimum advertised price violations

Tips for best results

• Use clean URLs — Remove tracking parameters and referral tags. For example, use https://www.amazon.in/dp/B0CYTDQ3YF instead of the full URL with ?pd_rd_w=...&pf_rd_p=... parameters. Shorter, cleaner URLs are more reliable.
• Amazon — Always uses a headless browser (Playwright) to bypass bot detection. Works with amazon.com, amazon.in, amazon.co.uk, and other regional domains.
• Shopify stores — Detected automatically. The Actor tries the JSON API first (/products/{handle}.json) for fastest results, then falls back to DOM scraping.
• Currency detection — Currency is extracted from structured data (JSON-LD, OpenGraph). Some sites may not specify currency explicitly — verify the currency field in results for lesser-known stores.

Proxy & rate limiting

• Uses Apify residential proxies by default for reliable results
• Exponential backoff retry on failures (configurable via maxRetries)
• Amazon requests always use a headless browser to avoid blocking

Integration

This Actor works great with:

• Apify Schedules — Run daily/hourly price checks automatically
• Webhooks — Get notified when a run completes
• API — Trigger runs programmatically from your backend