Shopify Store Scraper & Price Monitor

Scrape any Shopify store's full catalog, then watch it for changes. Add store domains and get every product with:

• Prices and price ranges, compare-at ("was") prices, discount % and on-sale flags
• Stock status per variant (size, color ...), SKUs, weights and options
• Vendor, product type, tags, images, handles and links, plus optional descriptions
• Store details: name, currency and country

Turn on change tracking for scheduled monitoring and each run returns only what changed since the last one:

price drops · price increases · back in stock · sold out · new products · removed products

No API key, no login, no browser. Press Start to scrape three sample stores (Allbirds, Death Wish Coffee and Tentree) in seconds.

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Why this Actor exists

Every Shopify store publishes its catalog through a public storefront feed. Most Shopify scrapers dump that feed once. This Actor turns it into a price and stock monitor: it remembers each store's catalog between runs and tells you exactly what moved.

	Typical Shopify scraper	Shopify Store Scraper & Price Monitor
Products, variants, prices	Yes	Yes
Discount % and on-sale flags	Rarely	Yes
Stock per variant	Sometimes	Yes
Collections, vendor, type, keyword and price filters	Few	All
Product-level or variant-level rows	One fixed shape	Your choice
Price drops, restocks, sell-outs, new and removed products	No	Yes, between runs
Store catalog summary	No	Yes

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How it works

1. Check each store's public product feed and read its name, currency and country.
2. Page through the catalog (or only the collections you list), 250 products per request, politely.
3. Normalize prices to numbers, compute discounts and stock, and apply your filters.
4. Compare with the previous run's snapshot when change tracking is on.
5. Deliver one row per product (or per variant) and a catalog summary per store.

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Quick start

One-off catalog export

{
    "stores": ["allbirds.com", "example-store.com"],
    "maxProductsPerStore": 5000
}

Daily price-drop and restock monitor (run on a schedule)

{
    "stores": ["competitor-one.com", "competitor-two.com"],
    "trackChanges": true,
    "onlyChanges": true,
    "maxProductsPerStore": 25000
}

The first monitored run saves a baseline and returns the catalog. Every later run returns only changed products.

Deals finder

{
    "stores": ["allbirds.com"],
    "onSaleOnly": true,
    "onlyAvailable": true,
    "outputLevel": "variant"
}

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Input

Field	Type	Default	What it does
stores	array	3 samples	Store domains or URLs (custom domains or .myshopify.com).
collections	array	none	Only these collections (handles or collection URLs).
keywords	array	none	Match title, tags, vendor or product type.
vendors	array	none	Match vendor (brand).
productTypes	array	none	Match product type.
onlyAvailable	boolean	false	In-stock products or variants only.
onSaleOnly	boolean	false	Discounted products or variants only.
minPrice / maxPrice	integer	none	Price range in the store's currency.
maxProductsPerStore	integer	1000	Cap per store after filters (Shopify serves up to 25,000).
outputLevel	product or variant	product	One row per product or per variant.
includeDescription	boolean	false	Add the description as clean text.
trackChanges	boolean	false	Compare with the previous run and label changes.
onlyChanges	boolean	true	With tracking on, deliver only changed products after the baseline.
maxConcurrency	integer	3	Stores processed in parallel.

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Output

Product row (shortened):

{
    "store": "www.allbirds.com",
    "store_name": "Allbirds",
    "currency": "USD",
    "product_id": "7340901859408",
    "title": "Women's Allbirds Flip Flop - Dusty Pink",
    "handle": "womens-allbirds-flip-flop-dusty-pink",
    "url": "https://www.allbirds.com/products/womens-allbirds-flip-flop-dusty-pink",
    "vendor": "Allbirds",
    "product_type": "Shoes",
    "tags": ["womens"],
    "price_min": 25.0,
    "price_max": 25.0,
    "compare_at_price_max": 50.0,
    "on_sale": true,
    "max_discount_pct": 50.0,
    "available": true,
    "variants_count": 7,
    "available_variants_count": 3,
    "options": [{ "name": "Size", "values": ["5", "6", "7", "8", "9", "10", "11"] }],
    "variants": [
        { "variant_id": "42146889039952", "title": "5", "sku": "A12513W050", "options": ["5"], "price": 25.0, "compare_at_price": 50.0, "on_sale": true, "discount_pct": 50.0, "available": false, "grams": 455 }
    ],
    "image": "https://cdn.shopify.com/s/files/1/1104/4168/files/A12513_Flip-Flop.png",
    "change_type": "price_drop",
    "changes": [
        { "type": "price_drop", "variant_id": "42146889039952", "variant_title": "5", "old_price": 30.0, "new_price": 25.0, "change_pct": -16.7 }
    ],
    "scraped_at": "2026-10-17T19:00:00Z"
}

Change types: baseline (first monitored run), new_product, price_drop, back_in_stock, price_increase, sold_out, new_variant, removed, unchanged, or untracked when tracking is off.

Catalog summary (OUTPUT record), one row per store: name, currency, country, products scanned, whether the whole catalog was read, in-stock and on-sale shares, price min, median and max, top vendors, top product types and change counts.

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Pricing (Pay-Per-Event)

Event	When	Price
product-scraped	One product row (or one variant row) is delivered	See the Pricing tab

• You only pay for delivered rows. Store checks, pages and comparisons are included.
• With change tracking and Deliver only changed products, unchanged products are free after the baseline run.
• Your run's maximum charge is respected: the Actor checks the remaining budget before each row.

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Use cases

• Competitor price monitoring: get a daily list of price drops and promotions at competing stores.
• Restock alerts: know when sold-out products come back.
• Catalog and assortment research: vendors, product types, price bands and discount depth for any brand.
• Dropshipping and arbitrage: find discounted, in-stock items across many stores.
• Market research: track how often brands launch new products or retire old ones.

Connect the dataset to Slack, email, Google Sheets or Zapier with Apify integrations to turn changes into alerts.

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Use it from AI agents (MCP)

Hosted Apify MCP server (Claude, ChatGPT, Cursor, VS Code and any client that supports remote MCP):

https://mcp.apify.com?tools=AIMindTeams/shopify-catalog-price-monitor

Local stdio server (for example, Claude Desktop claude_desktop_config.json):

{
    "mcpServers": {
        "shopify-monitor": {
            "command": "npx",
            "args": ["-y", "@apify/actors-mcp-server", "--tools", "AIMindTeams/shopify-catalog-price-monitor"],
            "env": { "APIFY_TOKEN": "YOUR_APIFY_TOKEN" }
        }
    }
}

Example prompts:

• "Which products on allbirds.com are discounted more than 30% and in stock in size 10?"
• "Compare the price range and top product types of these three coffee brands' stores."
• "Set up a daily check and tell me what dropped in price at my competitors' stores."

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Use it from code

Python (pip install apify-client):

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("AIMindTeams/shopify-catalog-price-monitor").call(
    run_input={"stores": ["allbirds.com"], "trackChanges": True}
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["change_type"], item["title"], item["price_min"], item["url"])

cURL (run and get the items in one call):

curl -X POST "https://api.apify.com/v2/acts/AIMindTeams~shopify-catalog-price-monitor/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"stores": ["deathwishcoffee.com"], "onSaleOnly": true}'

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FAQ

Does it work with every Shopify store? It works with stores that keep Shopify's public product feed enabled, which is the default and covers the vast majority. Stores that disable it or are password protected are listed in the summary as unavailable and are not charged.

What currency are prices in? The store's base currency, shown in the currency field.

How does change tracking work? Each store's catalog (product IDs, variant prices and stock) is saved after every monitored run in a Key-Value Store named SHOPIFY-CATALOG-SNAPSHOTS. The next run compares against it. Each combination of store and collection filter keeps its own snapshot.

Are removed products detected reliably? Yes, but only when the whole catalog (or collection) was read in that run. If a run stops early, nothing is reported as removed.

Is this legal? The Actor reads the public catalog feed that Shopify stores publish for their storefronts. Use the data in line with the laws and terms that apply to you.

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Changelog

• 1.0: First release. Product- and variant-level output, collections and filters, discounts and stock, store summaries, and change tracking for price drops, price increases, restocks, sell-outs, new and removed products.