Any Store Product Monitor: Price & Stock Tracker

Give it product page URLs from any online shop, or just a store's address, and get each product's price, list price, stock state, every variant with its own price, stock, SKU and barcode, brand, images, rating and review count. It reads Shopify, WooCommerce, Magento, BigCommerce, Wix, Squarespace, PrestaShop, Shopware, Salesforce Commerce Cloud and custom stores. Schedule it and every row says what changed since your last run: price, stock, a sale starting or ending, variants, title, image, or the page being taken down. From $1.50 per 1,000 products.

What you can do with it

• "Tell me when a competitor changes a price or sells out." Put their product URLs in a watchlist, turn on Changes only and schedule it daily: only products that moved come back, with the old and new value.
• "Watch a competitor's whole store." Give the store's address; the actor finds its product sitemap and reads up to the number of products you choose, filtered by a word or pattern in the URL.
• "Which sizes are out of stock?" Every variant comes with its own stock state, and units left where the store publishes them.
• "Match competitor products to mine." Barcodes (GTIN, EAN, UPC), SKUs and MPNs are returned wherever the store publishes them.
• "Feed product data to an AI agent or a spreadsheet." Compact JSON with the same field names for every store, a field picker, and a dataset view per job.
• "Check the prices in another actor's results." Point it at a dataset whose rows hold product URLs.

How it reads a store

Each product is read the cheapest complete way, and every row says where its price came from (priceSource):

1. Shopify stores: the store's own product data (/products/<handle>.js), with every variant, its stock and barcode. No page load at all.
2. Every other store: the product page's structured data: JSON-LD (including variant groups), microdata, Magento's price box, the analytics product event, and Open Graph tags, merged with the most trusted first.
3. WooCommerce: when the page lacks a price, stock or variant prices, the store's public Store API fills them in, every variation included.

In tests on 51 product pages from 30 stores on 10 platforms, read from Apify's servers, it returned price and stock for 44. The other 7 were Target and Best Buy (pointed to the actor that reads them), three pages that publish no product data, a removed IKEA product and a store that blocks automated visitors. A watchlist of 30 of those products read twice, minutes apart, reported no false changes.

What makes the data right

• A block is never an empty result. Each store gets its own proxy ladder (direct, then datacenter, then residential only for stores that block the others), so one strict store never makes the rest of the run slower or pricier.
• Partial pages are read again. Some shops occasionally serve a page without its product data; the actor reads it once more on a fresh session before giving up.
• Values from different sources are never mixed. A price keeps its own source's currency and list price; a product that cannot be bought has no price rather than a price of 0.
• Changes are real changes. A price or stock state missing from one read carries over instead of reading as a change, prices in different currencies are not compared, and a re-uploaded image with a new cache key is not a new image.
• Moved is not removed. A product sent to the same brand's site for another country (brand.com → brand.co.uk) is reported as moved, with the new address, and never as removed.
• Only public addresses are read. A URL, sitemap or redirect pointing into a private network is never fetched.
• Only delivered products are billed. A page that could not be read is listed in the run summary with the reason, never charged. Sitemap pages that are not products are skipped for free.
• Runs do not fail for one bad entry. An invalid URL is skipped with a warning; an empty input runs the form's example.
• Sites with their own CleanPull actor are routed, not guessed: Amazon URLs point to Amazon Product Scraper, and Target and Best Buy to Barcode Price Checker & MAP Monitor. Neither they nor Walmart are fetched or charged.

Input

Field	What it does
productUrls	Product page URLs from any shop, one per line
sitemaps, maxProductsPerSitemap, urlFilter	Store addresses or sitemap URLs: read the store's products, up to a limit, optionally only URLs matching text
datasetId, datasetField	Another dataset whose rows hold product URLs
includeVariants	Every variant with its own price, stock, SKU and barcode (on by default)
readFullPage	Shopify: also read the product page, for the review rating its markup adds
changesOnly, monitorName, changeTypes	Return only products that changed since the last run with the same monitor name
minPriceChangePercent	Ignore small price moves
maxItems, fields, maxConcurrency, maxConcurrencyPerStore	Limits, field selection and pace
proxyConfiguration	Your own proxy, tried after the direct attempt
startUrls	Accepted for compatibility with other actors (same as productUrls)

Example inputs

A competitor watchlist, checked daily for changes:

{
  "productUrls": [
    "https://www.allbirds.com/products/mens-tree-runners",
    "https://www.zwilling.com/us/miyabi-evolution-5-inch-prep-knife-fine-edge--34025-133/34025-133-0.html"
  ],
  "changesOnly": true,
  "monitorName": "competitors"
}

The first 200 products of a store, only those with "bottle" in the URL:

{ "sitemaps": ["nalgene.com"], "maxProductsPerSitemap": 200, "urlFilter": "bottle" }

Price drops of 5% or more and stock changes only:

{
  "productUrls": ["https://www.monbento.com/catalog/product/view/id/5348"],
  "changesOnly": true,
  "changeTypes": ["price", "stock"],
  "minPriceChangePercent": 5
}

Output

One row per product. A real row:

{
  "recordType": "product",
  "url": "https://www.zwilling.com/us/miyabi-evolution-5-inch-prep-knife-fine-edge--34025-133/34025-133-0.html",
  "domain": "zwilling.com",
  "platform": "salesforce-commerce-cloud",
  "source": "url",
  "title": "MIYABI Evolution 5-inch Prep Knife, Fine Edge",
  "brand": "MIYABI",
  "gtin": "4009839334917",
  "mpn": "34025-133-0",
  "price": 129.99,
  "currency": "USD",
  "listPrice": null,
  "onSale": false,
  "availability": "InStock",
  "inStock": true,
  "priceMin": 129.99,
  "priceMax": 129.99,
  "variantCount": 0,
  "image": "https://www.zwilling.com/on/demandware.static/-/Sites-zwilling-master-catalog/default/dw35140085/images/large/34025-133-0_1.jpg",
  "rating": 5,
  "reviewCount": 70,
  "dataSources": ["json-ld", "open-graph"],
  "priceSource": "json-ld",
  "readThroughResidentialProxy": false,
  "changes": [],
  "firstSeen": true,
  "scrapedAt": "2026-10-13T22:10:01.035Z"
}

A variant (in variants) looks like this:

{
  "id": "41884546990160",
  "sku": "A12498M080",
  "gtin": "196942291030",
  "title": "8",
  "options": { "Size": "8" },
  "price": 100,
  "listPrice": null,
  "currency": "USD",
  "availability": "OutOfStock",
  "inStock": false,
  "stockQuantity": null,
  "url": "https://allbirds.com/products/mens-canvas-runner-nz?variant=41884546990160"
}

A change looks like { "type": "price", "field": "price", "from": 129.99, "to": 109.99, "percent": -15.4 }; variant changes name the variant. A product gone since the last run (its page answers 404, or redirects to the home page, a category or another site on two runs in a row; the first redirect is only a warning, not billed) gives one row with "removed": true, removedHow (not-found or redirected) and redirectedTo.

Also: canonicalUrl, finalUrl (after redirects), sku, productId, category, discountPercent, stockQuantity (where the store publishes it), variantsInStock, images, description, condition, seller, priceValidUntil, sitemap (for products found through one), previous (last run's values, on changed rows).

Dataset views: Products, Variants (one row per variant) and Changes. RUN_SUMMARY in the key-value store gives the outcome (COMPLETE, PARTIAL, NO_CHANGES, EMPTY, FAILED), the platforms seen, charges, and every product that could not be read, with the reason.

Pricing

Event	Free and Bronze	Silver	Gold and above
Product (a delivered row)	$1.50	$1.35	$1.20
Product checked, unchanged (Changes only)	$0.50	$0.45	$0.40
Product from a protected store (add-on, only for stores that block standard addresses)	$4.00	$3.60	$3.20

Per 1,000 products. Each run also has a $0.00005 start fee. The add-on applies once per product read, only when the store's product page had to be read through residential addresses; optional store API calls never trigger it. Pages read that way are capped at 600 KB transferred, compressed as sent (a larger one is not read or charged); Shopify product data and WooCommerce Store API answers (a few KB) never add it. A daily check of 100 competitor products with Changes only is about 3,000 checks a month: $1.50, plus the products that changed.

Limits

• Stores that publish no product data in their pages (no structured data, analytics event or platform API) cannot be read; the run summary names them.
• Large retailers are not read here: Amazon, Target and Best Buy have their own CleanPull actors, and Walmart blocks automated visitors.
• Prices are the store's public prices for a visitor from the proxy's country, without a sign-in, coupons or cart discounts.
• Gzipped sitemaps (.xml.gz) are skipped; give the plain sitemap or product URLs.
• robots.txt is read only to find a store's sitemaps; its Disallow rules are not applied. Read a store at a pace and scale its terms allow (Products at a time per store is 2 by default).
• Another dataset (datasetId) is read only when you pick it in the form, which gives this actor read access to that one dataset. The actor runs with limited permissions and cannot see your other storages.
• WooCommerce variations: up to 100 per product.

Changelog

• 0.1 (October 2026): products from any shop by URL, sitemap or dataset; Shopify product data, structured data, Magento, analytics and Open Graph reads; WooCommerce Store API with variations; per-store proxy ladder; changes since the last run, including removed pages.