Agent Commerce Watch [$1/1K💰] | Price & Stock Monitor

Agent Commerce Watch — Price & Stock MCP for AI Agents

Track e-commerce prices, discounts and stock across Shopify and WooCommerce stores (plus any storefront with Product JSON-LD) and return one normalized product shape plus typed change events — built as an MCP server so AI agents can call it directly.

Agent Commerce Watch reads stores through their public JSON APIs and sitemap product pages, keeps a per-store baseline in a key-value store, and on each scheduled run emits only what changed: price drops and rises, sales, restocks, sell-outs, new and removed products and variant changes. No browser is required for supported stores, which keeps scans fast and cheap enough for scheduled monitoring.

Monitor Competitor Prices & Stock For E-Commerce Intelligence

• Competitor price and stock monitoring — know within the schedule window when a store cuts prices, raises them, or sells out.
• MAP and reseller enforcement — catch resellers pricing below your minimum, with a timestamped record and variant detail.
• Restock and launch alerts — detect back-in-stock events and newly listed products the moment they appear.
• Catalog snapshots for analytics — export a clean, normalized product catalog from any Shopify or WooCommerce store.
• Agent-driven commerce tools — expose store scanning, product lookup and change feeds to an AI agent over MCP.

How It Works

The Actor detects Shopify, WooCommerce or generic JSON-LD storefronts, reads their public catalog surfaces over HTTP and normalizes every product into one shape. In monitor mode it keeps a per-store baseline in a key-value store and compares each run against it.

Output is either a product snapshot with price, compare-at price, discount, stock and variants, or a typed change event such as price_drop, back_in_stock or new_product. The same tools are exposed over MCP for AI agents.

1. Platform detection — the store is identified as Shopify (/meta.json, /products.json), WooCommerce (Store API at /wp-json/wc/store/v1/products) or generic (sitemap + JSON-LD), or pinned manually via platform.
2. Catalog or product read — products are read from the store's own public endpoints (Shopify /products.json, WooCommerce Store API, or JSON-LD / OpenGraph / microdata / HTML for generic stores).
3. Normalization — every product is returned in one consistent shape with price, compare-at price, discount percent, currency, availability, SKU, brand, category and images.
4. Change detection (monitor mode) — a baseline is saved per store in the agent-commerce-watch-state key-value store; each later run compares against it and emits only typed change events.

Platform detection results are cached for 7 days; genuine generic scans are cached for 1 day. For supported stores, no browser is used.

Input Parameters

Field	Type	Required	Default	Notes
mode	string	No	scan	scan (once) or monitor (baseline then changes).
stores	array	No	—	Store domains or URLs for batch scans.
store	string	No	—	Single store used when stores is empty.
urls	array	No	—	Exact product URLs to scan.
maxProductsPerStore	integer	No	100	Product cap per store.
includeVariants	boolean	No	true	Include variant-level price and stock.
platform	string	No	auto	auto, shopify, woocommerce or generic.
onlyChanges	boolean	No	true	In monitor mode, push change rows only.
emitFirstSeen	boolean	No	false	Emit first_seen events on the first monitor run.
webhookUrl	string	No	—	POST monitor events to this URL.
requestDelayMs	integer	No	150	Delay between generic product page requests.
proxyConfiguration	object	No	disabled	When enabled, the proxy is used only as a fallback after a direct request fails.

Output Fields

Product rows: store, platform, productId, title, url, sku, brand, category, price, priceMin, priceMax, compareAtPrice, discountPercent, currency, availability, inStock, variants, image, description, tags, rating, reviewCount, confidence, source, scrapedAt.

Change rows: detectedAt, event, store, platform, title, previousPrice, currentPrice, priceDelta, priceDeltaPct, previousAvailability, availability, variantTitle, message, url.

Change events include: price_drop, price_rise, sale_started, sale_ended, back_in_stock, out_of_stock, availability_changed, new_product, removed, first_seen, variant_added, variant_removed, variant_price_drop, variant_price_rise, variant_back_in_stock, variant_out_of_stock.

Example Input

Scan a store catalog and a list of exact product URLs:

{
  "mode": "scan",
  "stores": ["allbirds.com", "saman.ca"],
  "maxProductsPerStore": 50,
  "includeVariants": true
}

Monitor a store and emit only changes:

{
  "mode": "monitor",
  "stores": ["allbirds.com"],
  "maxProductsPerStore": 100,
  "includeVariants": true,
  "onlyChanges": true,
  "emitFirstSeen": false
}

Example Output

Product row:

{
  "store": "allbirds.com",
  "platform": "shopify",
  "productId": "1234567",
  "title": "Women's Wool Runner",
  "url": "https://www.allbirds.com/products/womens-wool-runner",
  "price": 98,
  "compareAtPrice": 110,
  "discountPercent": 10,
  "currency": "USD",
  "availability": "in_stock",
  "inStock": true,
  "sku": "WR-001",
  "brand": "Allbirds",
  "scrapedAt": "2026-10-20T12:00:00.000Z"
}

Change row:

{
  "detectedAt": "2026-10-21T06:00:00.000Z",
  "event": "price_drop",
  "store": "allbirds.com",
  "platform": "shopify",
  "title": "Women's Wool Runner",
  "previousPrice": 110,
  "currentPrice": 98,
  "priceDelta": -12,
  "priceDeltaPct": -10.9,
  "availability": "in_stock",
  "variantTitle": "Size 8",
  "message": "Price dropped from $110 to $98 (-10.9%)",
  "url": "https://www.allbirds.com/products/womens-wool-runner"
}

Automate Price Monitoring With Schedules & Webhooks

• Schedule monitor mode (hourly, daily or weekly) so each run reports only what changed since the last one.
• Set webhookUrl to receive one JSON payload per store containing the detected events — pipe it to Slack, email, Zapier, Make or your own service.
• Register stores with the watch_store MCP tool, schedule the Actor in monitor mode, then read get_changes from your agent.
• Reuse the baseline state stored in agent-commerce-watch-state between runs, so no re-dumping of unchanged catalogs.

Related Actors

• Shopify Product Scraper — deep Shopify catalog, inventory and variant extraction.
• Shopify Scraper — Shopify tech stack, apps and themes intelligence.
• Idealo Scraper — price comparison data across European marketplaces.
• Slickdeals Scraper — deals and discount tracking across retailers.
• ProductReview Scraper — customer review and sentiment data for products.

Frequently Asked Questions

Why use this Actor instead of the official store API?

Shopify and WooCommerce expose public product endpoints, but not a change feed or a cross-platform normalized shape. This Actor reads those public endpoints, normalizes every store into one schema, and adds stateful change detection so you get what moved — not the whole catalog every run.

What are alternatives to this Actor?

Other approaches include building your own Shopify /products.json — or WooCommerce Store API — poller with a diffing layer, or using a single-platform price monitor. This Actor covers Shopify, WooCommerce and generic JSON-LD stores in one run and also exposes an MCP server for agents.

Do I need a browser or API key?

No. Supported stores are read through their public JSON endpoints with no login and no browser. Generic stores behind bot protection may block requests even when their sitemap is public.

How does monitor mode track changes?

The first run creates a baseline per store in the agent-commerce-watch-state key-value store. Later runs compare against it and emit typed change events. Without a schedule, there are no new change events to read.

Can AI agents call it directly?

Yes. The Actor runs in standby mode and serves MCP over Streamable HTTP at /mcp, exposing scan_store, get_product, compare_products, watch_store and get_changes.

For AI Agents & LLM Apps

Purpose: return a normalized store catalog or a feed of detected price/stock changes, callable over MCP or the Apify API.

Minimal working input (scan):

{ "mode": "scan", "store": "allbirds.com", "maxProductsPerStore": 20 }

Minimal working input (monitor):

{ "mode": "monitor", "store": "allbirds.com", "onlyChanges": true }

Output fields: store, platform, productId, title, url, sku, brand, category, price, priceMin, priceMax, compareAtPrice, discountPercent, currency, availability, inStock, image, scrapedAt (products) and detectedAt, event, store, previousPrice, currentPrice, priceDelta, priceDeltaPct, availability, variantTitle, message, url (changes).

MCP server: Streamable HTTP at https://YOUR-STANDBY-URL/mcp, with tools scan_store, get_product, compare_products, watch_store, get_changes.

Behaviors an agent should know:

• If neither stores/store nor urls is provided, the Actor runs a small demo scan of allbirds.com (max 5 products).
• store (singular) is used only when stores is empty; urls scans exact products without catalog discovery.
• onlyChanges defaults to true in monitor mode; set emitFirstSeen: true only if the first run should emit first_seen for every product (leave off for large catalogs).
• mode: "monitor" requires a prior baseline to produce changes; there is no state until the first run.
• webhookUrl adds one POST per store with the detected events.
• Billing: pay-per-event — MCP tool call $0.005 (primary), Product snapshot $0.002, Product check $0.001, Price or stock change $0.002.

Legal & Compliance Disclaimer

This is an independent Actor. It is not affiliated with, endorsed by, or sponsored by Shopify, WooCommerce, WordPress, or any store it reads. It accesses only publicly available product endpoints and pages — no login is performed, no CAPTCHA solving is performed, and no access controls are used. Product prices are approximate and should be verified on the product page before a purchase. Users are responsible for complying with each store's Terms of Service, robots directives, rate limits and applicable law (including data-protection law where any personal data is involved) when using the data.

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