Competitor Price Tracker – Amazon, Shopify, WooCommerce & Any E-Commerce Site

Are your competitors quietly dropping prices while you're not watching?

This actor scrapes live product prices from any e-commerce URL — Amazon listings, Shopify stores, WooCommerce shops — and returns clean, structured data you can pipe into spreadsheets, dashboards, or alerts.

• ✅ No proxies to configure
• ✅ No coding required — just paste URLs
• ✅ Results in under 60 seconds
• ✅ Works with JavaScript-rendered pages

Who uses this: E-commerce store owners, dropshippers, Amazon sellers, pricing analysts, and anyone who needs to monitor what competitors are charging — without doing it manually.

What it does

This Actor takes a list of product URLs and returns structured pricing data for each. It uses a smart competitor price tracking 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 — bypasses bot detection. Works across all regional domains (.com, .in, .co.uk, .de, etc.)
Shopify	/products/{handle}.json API first, then DOM fallback — fastest Shopify price extractor method available
WooCommerce	JSON-LD from product pages
Other sites	Generic pipeline (JSON-LD → OpenGraph → CSS) — works as a price scraper on any e-commerce URL

Cost

Scenario	Approx. cost
Track 10 products once	~$0.30
50 products daily for a month	~$45
One-time 100-product snapshot	~$3

Pricing is ~$0.03 per product URL. Amazon URLs cost slightly more due to headless browser usage.

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://yoddha.store/product/japa-mala/",
    "https://www.amazon.in/Book-Answers-Carol-Bolt/dp/0553813544/",
    "https://www.plixlife.com/product/tender-coconut-water-powder-315/315"
  ],
  "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.amazon.in/Book-Answers-Carol-Bolt/dp/0553813544/",
  "productName": "The Book Of Answers: The gift book that became an internet sensation, offering both enlightenment and entertainment",
  "price": 561,
  "currency": "INR",
  "availability": "In Stock",
  "scrapedAt": "2026-05-20T03:08:02.314Z",
  "success": true,
  "error": null
}

Use cases

• Competitor price tracking — Monitor what rivals charge daily and get alerted on changes
• Amazon price monitor — Track Amazon listings across regions without getting blocked
• Dropshipping price tracker — Stay on top of supplier and competitor pricing automatically
• Market research — Collect e-commerce price intelligence across brands and categories
• Dynamic pricing — Feed competitor prices into your own pricing algorithms
• MAP compliance — Monitor minimum advertised price violations across resellers
• Price comparison tool — Aggregate prices across sellers for any product category

Tips for best results

• Use clean URLs — Remove tracking parameters and referral tags. Use https://www.amazon.in/dp/B0CYTDQ3YF instead of long URLs with ?pd_rd_w=... parameters. Shorter URLs are more reliable.
• Amazon price scraper — Always uses a headless browser (Playwright) to bypass bot detection. Works with amazon.com, amazon.in, amazon.co.uk, and all other regional domains.
• Shopify stores — Detected automatically. The Actor tries the JSON API first for fastest results, then falls back to DOM scraping.
• Currency detection — Extracted from structured data (JSON-LD, OpenGraph). Some smaller stores may not specify currency explicitly — verify the currency field for lesser-known sites.
• Product price alert workflows — Combine with Apify Schedules + Webhooks to trigger alerts when a price drops below your threshold.

Limitations

• Sites behind login walls or Cloudflare Turnstile fingerprinting may not scrape reliably
• Amazon prices shown to logged-in users (Prime deals, regional pricing) may differ from scraped results
• Currency detection depends on structured data — some small stores omit it

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