Google Shopping Scraper — Products, Prices, Sellers & Ratings

Compare prices across every seller on Google Shopping. Scrape product title, price, old price, seller, rating, and review count for any product — clean, structured, and API-ready.

The fastest way to monitor competitor pricing, build a price-comparison feed, or research a product market. No proxies, no captchas, no scraping to maintain.

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What you get per offer

• 🛍️ Product title — the listing name.
• 💲 Price, old price & on-sale flag — current price plus discounts when shown.
• 🚚 Delivery / shipping info — delivery message and price.
• 🏬 Seller & condition — which merchant, and new/used/refurbished.
• ⭐ Rating & review count — product social proof.
• 🆔 Product ID & URL — link to the listing (and the ID for seller comparison).

Seller price comparison

Pass compareProductIds (product IDs from the search output) to pull every seller offering that product — base price, shipping, tax, total price, condition, and availability — perfect for finding the cheapest merchant.

Filters

• Price range — priceMin / priceMax.
• Condition — new, used, or refurbished.
• On sale only — discounted items only.

Perfect for

• Price monitoring & repricing — track competitors across sellers.
• Price-comparison sites — build a structured product feed.
• Market & product research — see who sells what, and for how much.
• Deal & coupon sites — surface discounts (old vs current price).
• AI agents — feed structured shopping data into automated pipelines and MCP tools.

How to use it

1. Enter your product keywords.
2. Pick country + language, optional price range.
3. Run it — export JSON/CSV or pull via the API.

Example input — search

{ "queries": ["running shoes", "air fryer"], "locationCode": "2840", "languageCode": "en", "priceMin": 50, "priceMax": 200, "condition": "new", "onSale": true }

Example input — seller comparison

{ "compareProductIds": ["329494674847835874"], "locationCode": "2840", "languageCode": "en" }

Example output — product offer

{
  "record_type": "product",
  "query": "running shoes",
  "title": "Adidas Men's Adizero Evo SL",
  "price": 149.99,
  "old_price": null,
  "on_sale": false,
  "currency": "USD",
  "seller": "DICK'S Sporting Goods",
  "delivery_message": "Free delivery",
  "condition": "new",
  "rating": 4.6,
  "reviews_count": 1200,
  "product_id": "329494674847835874",
  "url": "https://google.com/shopping/product/..."
}

Example output — seller offer (comparison)

{
  "record_type": "seller_offer",
  "product_id": "329494674847835874",
  "seller": "Target",
  "base_price": 129.99,
  "shipping_price": 0,
  "tax": 8.5,
  "total_price": 138.49,
  "currency": "USD",
  "condition": "new",
  "availability": "In stock",
  "url": "https://www.target.com/..."
}

Pricing

Pay per result returned — no monthly fee, no minimum. Product offers and seller-comparison offers are each billed per result.

FAQ

Can I compare prices across sellers? Yes — each offer includes the seller, so you can compare the same product across merchants.

Which countries? 190+ countries and major languages.

Do I need proxies? No — everything is handled.

Good for AI agents? Yes — clean JSON, ideal for MCP servers, n8n, Make, and LLM agents.

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Tags: google shopping scraper, price comparison, product prices, shopping api, ecommerce scraper, price monitoring, competitor pricing, product feed, retail data.