E-Commerce Price Monitor

Monitor and compare product prices across Amazon, eBay, Walmart, Target, Best Buy, and thousands of other e-commerce sites. Track price changes over time, find the best deals, and compare prices across multiple stores automatically.

Features

• Universal Price Extraction — Works on any e-commerce site using JSON-LD (schema.org/Product), Open Graph meta tags, and common CSS selectors
• Amazon Deep Parsing — Extracts prices from all Amazon price display variants including deals, coupons, Prime savings, and Best Seller rank
• eBay Full Support — Handles Buy It Now, auctions (bid count, time left), seller info, item condition, and shipping costs
• Walmart, Target, Best Buy — Store-specific enhancements for fulfillment options, member pricing, open box deals, and circle offers
• Shopify / WooCommerce / Magento — Automatic detection and optimized extraction for major e-commerce platforms
• Cross-Store Price Comparison — Searches Google Shopping to find the same product at competing stores with price ranges and best price identification
• Price History Tracking — Tracks prices across multiple runs to build a price timeline for trend analysis
• Pay-Per-Event Pricing — Only pay $0.005 per product price checked

Input

Field	Type	Description	Default
productUrls	array	List of product page URLs to monitor (required)	—
includeHistory	boolean	Track price changes across runs	false
compareAcrossStores	boolean	Search Google Shopping for competing prices	false
maxResults	integer	Maximum products to check (0 = unlimited)	100
maxConcurrency	integer	Parallel requests (1-10, lower = safer)	3
proxy	object	Apify proxy configuration	—

Example Input

{
  "productUrls": [
    { "url": "https://www.amazon.com/dp/B0BSHF7WHW" },
    { "url": "https://www.ebay.com/itm/123456789" },
    { "url": "https://www.walmart.com/ip/123456789" },
    { "url": "https://www.target.com/p/product-name/-/A-12345678" },
    { "url": "https://www.bestbuy.com/site/product/1234567.p" }
  ],
  "includeHistory": true,
  "compareAcrossStores": true,
  "maxResults": 100,
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Output

Each product record includes:

Field	Type	Description
productName	string	Product title
currentPrice	number	Current selling price
currency	string	ISO currency code (USD, EUR, GBP, etc.)
store	string	Store name (Amazon, eBay, Walmart, etc.)
originalPrice	number	Original/list price before discount
discount	number	Discount percentage
availability	string	Stock status (In Stock, Out of Stock, Low Stock, etc.)
rating	number	Product rating (0-5 scale)
reviews	number	Number of customer reviews
url	string	Product page URL
brand	string	Product brand
sku	string	Store-specific product identifier (ASIN, item number, etc.)
image	string	Product image URL
priceHistory	array	Historical prices from previous runs (when includeHistory is enabled)
competitors	array	Prices from other stores (when compareAcrossStores is enabled)
scrapedAt	string	ISO timestamp of extraction

Store-Specific Fields

Amazon: amazonSpecific.prime, amazonSpecific.savings, amazonSpecific.dealBadge, amazonSpecific.coupon, amazonSpecific.bestSellersRank

eBay: ebaySpecific.condition, ebaySpecific.listingType, ebaySpecific.bids, ebaySpecific.timeLeft, ebaySpecific.seller, ebaySpecific.shipping

Walmart: walmartSpecific.savings, walmartSpecific.fulfillment

Target: targetSpecific.circleOffer

Best Buy: bestBuySpecific.openBoxPrice, bestBuySpecific.memberPrice

Example Output

{
  "productName": "Apple AirPods Pro (2nd Generation)",
  "currentPrice": 189.99,
  "currency": "USD",
  "store": "Amazon",
  "originalPrice": 249.00,
  "discount": 23.7,
  "availability": "In Stock",
  "rating": 4.7,
  "reviews": 85432,
  "url": "https://www.amazon.com/dp/B0BDHWDR12",
  "brand": "Apple",
  "sku": "B0BDHWDR12",
  "image": "https://m.media-amazon.com/images/I/...",
  "amazonSpecific": {
    "prime": true,
    "savings": "Save 24%",
    "dealBadge": "Limited time deal"
  },
  "priceHistory": [
    { "date": "2026-02-15T10:00:00Z", "price": 199.99, "currency": "USD" },
    { "date": "2026-02-20T10:00:00Z", "price": 189.99, "currency": "USD" }
  ],
  "competitors": [
    { "store": "Best Buy", "price": 199.99, "currency": "USD", "url": "https://..." },
    { "store": "Walmart", "price": 189.00, "currency": "USD", "url": "https://..." },
    { "store": "Target", "price": 189.99, "currency": "USD", "url": "https://..." }
  ],
  "scrapedAt": "2026-03-01T12:00:00Z"
}

Extraction Strategies

The actor uses 5 extraction strategies, applied in order of reliability:

1. JSON-LD / schema.org — Structured data embedded in <script type="application/ld+json">. Works on thousands of sites that follow schema.org Product markup. Most reliable method.

2. Amazon-Specific — Deep parsing of Amazon's complex HTML with 15+ price selector variants, deal badges, Prime detection, coupon extraction, and Best Seller rank.

3. eBay-Specific — Handles both Buy It Now and auction listings, extracts bid count, time remaining, seller info, item condition, and shipping costs.

4. Generic CSS Selectors — Falls back to common e-commerce CSS patterns (.product-price, [data-price], .price, etc.) that work on Shopify, WooCommerce, Magento, and most custom stores.

5. Google Shopping — Searches Google Shopping for the product name to find prices from competing stores. Used when compareAcrossStores is enabled.

Use Cases

• Deal Hunting — Monitor products across multiple stores to find the lowest price
• Competitive Intelligence — Track competitor pricing strategies over time
• Dynamic Pricing Research — Analyze how prices change by day, week, or season
• Dropshipping — Monitor supplier prices to maintain profit margins
• Price Alert Systems — Feed data into alerting pipelines to notify on price drops
• Market Research — Compare pricing across brands, categories, and regions

Proxy Recommendations

• Amazon: Residential proxies strongly recommended (Amazon aggressively blocks datacenter IPs)
• eBay: Datacenter proxies usually work, residential recommended for high volume
• Walmart/Target/Best Buy: Residential proxies recommended
• Shopify stores: Usually work without proxies for low volume
• Google Shopping: Residential proxies required

Pricing

This actor uses Pay-Per-Event pricing:

• $0.005 per product price checked
• Cross-store comparisons count as 1 additional event per product
• No charge for failed extractions

Limitations

• CheerioCrawler (HTML only, no JavaScript rendering) — some SPAs may not return full content
• Anti-bot protection may block requests without proper proxies
• Google Shopping comparison requires residential proxies
• Price history requires multiple runs of the same actor with the same URLs

Support

For issues, feature requests, or questions, please open an issue on GitHub.

Integration — Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("sovereigntaylor/price-monitor").call(run_input={
    "searchTerm": "example query",
    "maxResults": 50
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{item.get('title', item.get('name', 'N/A'))}")

Integration — JavaScript

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });

const run = await client.actor('sovereigntaylor/price-monitor').call({
    searchTerm: 'example query',
    maxResults: 50
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach(item => console.log(item.title || item.name || 'N/A'));