Google Shopping Scraper: Prices, Stores, Price History & GTIN

Google Shopping Scraper: Prices, Stores, Price History & GTIN

Search Google Shopping in any country and get every product with its price, store, rating and reviews count. Add what you need on top: the product's details and specs, every store's offer, 12 months of price history per store, review texts. Look products up by GTIN / UPC / EAN. Filter by price, rating, brand, store, sale and any filter Google shows. No Google account, no API key. One monthly rental, no per-row fees.

What it does

• Search by keywords, or paste Google Shopping links (their filters are kept). Up to ~240 products per query, in Google's order or sorted by price or rating.
• Filters: min/max price, min rating, on sale, brand, store, and any filter chip Google offers for the search ("Wireless", "Used", "Small business", a category...).
• Product details: description, specs, variants (colour, size), images, videos, review summary and topics, Google's AI insights.
• Every store's offer: price, shipping, condition, availability, delivery and returns, seller rating, payment options and the store's link, for up to 1,000 stores a product.
• Price history: each store's daily price over up to 12 months, the typical price range, and the sale events (Black Friday, holidays) Google marks.
• Reviews: title, text, rating, date and source.
• GTIN / UPC / EAN lookup: barcodes matched to their Google Shopping product, with details, offers and price history.
• Any market: country and language (us, gb, de, fr, ca, au...): local stores, prices and currency.

Why this one

	This actor	Typical Google Shopping scrapers
Every store's offer	yes, up to 1,000 stores	the first 3-5
Price history per store	yes, 12 months	rarely
GTIN / UPC / EAN lookup	yes	some
Filters (price, rating, brand, store, chips)	all of them	a few
Specs, variants, review topics, AI insights	yes	partly
Extras	read only when you ask for them	often always on

Input examples

Search with filters:

{
  "queries": ["air fryer"],
  "country": "gb",
  "maxPrice": 100,
  "minRating": 4,
  "sort": "price_low",
  "maxItems": 50
}

Price comparison across every store:

{
  "queries": ["sony wh-1000xm5"],
  "maxStores": 100,
  "includePriceHistory": true,
  "maxItems": 5
}

Barcodes:

{
  "gtins": ["009800895007", "045496883386"],
  "maxStores": 20,
  "includePriceHistory": true
}

A Google Shopping link (filters included):

{
  "startUrls": [{"url": "https://www.google.com/search?q=running+shoes&udm=28&gl=us"}],
  "maxItems": 100
}

Output

One row per product (dataType: "product"):

{
  "dataType": "product",
  "title": "Sony WH-1000XM6 Wireless Noise Canceling Headphones",
  "brand": "Sony",
  "price": "$379.99",
  "price_value": 379.99,
  "currency": "USD",
  "price_was": null,
  "merchant": "BrandsMart USA",
  "rating": 4.66,
  "reviews": 6139,
  "position": 2,
  "image": "https://encrypted-tbn1.gstatic.com/shopping?q=...",
  "shelves": ["Noise-Cancelling Headphones"],
  "source": {"type": "query", "query": "headphones", "country": "us", "language": "en"},
  "details": {
    "description": "...", "specs": [{"name": "Brand", "value": "Sony"}],
    "variants": [{"facet": "Color", "options": ["..."]}], "store_count": 238,
    "price_min": 305.88, "price_max": 459.99, "review_topics": ["..."]
  },
  "offers": [
    {"merchant": "Best Buy", "price": "$378.00", "price_value": 378.0, "currency": "USD",
     "shipping": "Free delivery", "condition": null, "seller_rating": 4.5,
     "url": "https://www.bestbuy.com/...", "badges": ["Most popular"]}
  ],
  "price_history": {
    "typical": "$299 to $459", "typical_low": 299.0, "typical_high": 459.0,
    "stores": [{"store": "Sony", "points": [{"date": "2025-11-09", "price": 449.0}]}],
    "events": [{"date": "2025-11-28", "name": "Black Friday"}]
  },
  "reviews": [{"title": "...", "text": "...", "rating": 5, "date": "2 months ago", "source": "bestbuy.com"}]
}

details, offers, price_history and reviews are filled when asked for. A GTIN that Google can't match gets a free row with dataType: "gtin".

Pricing

One monthly rental, no per-row fees: details, every store, price history and reviews included. Runs use Bytewells compute and proxy traffic from your credit. The actor needs 2 GB of memory (the default): it opens a Google session in Chrome on a US residential IP and reads everything else over plain HTTP on that session.

Measured on Bytewells:

Run	Products	Time	Usage
10 products with details and up to 30 stores each	10	4 min	$0.12
60 products with details	60	21 min	$0.32

Most of the time and usage goes into opening Google sessions: one serves ~45 requests, and some IPs are refused before one opens. A product found by several searches is delivered once.

Good to know

• Google offers ~200-240 products per query; use several queries or filters for more.
• GTIN lookup matches the barcode to the product Google names for it: a size or colour variant can come back as its sibling. The match score is in source.match_score.
• A query Google can't match returns popular products rather than nothing; the log notes searches whose results don't contain the query's words.
• Prices are what Google shows at the moment of the run, in the market's currency.
• Long store lists and price history take more time: plan ~1 minute per 100 stores read.

Use it from your tools

Call it from the Bytewells API (Apify-compatible: apify-client works with its base URL), a schedule, or an AI agent via the Bytewells MCP server; results export to JSON, CSV or Excel.