Google Shopping Scraper

Search any product on Google Shopping across major markets and get every offer: store name, price in local currency, rating and reviews, plus the best price and the average price across the offers the query returned.

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ℹ️ Zero configuration Provide a product name and run it: results are ready in seconds.

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Quick Start

{
  "productName": "APARADOR DE PELOS MONDIAL BG03",
  "country": "br",
  "maxResults": 20
}

Tip: Search with the full product name (brand + model) for the most relevant offers, e.g. DELL INSPIRON 15 NOTEBOOK rather than just notebook.

More examples

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Supported Markets

Country	country	Currency
Brazil (default)	br	BRL
United States	us	USD
United Kingdom	gb	GBP
Germany	de	EUR
France	fr	EUR
Spain	es	EUR
Italy	it	EUR

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Features

Feature	Description
7 Markets	Brazil, US, UK, Germany, France, Spain, Italy, with prices in local currency
Any Product	Search any product by name across each market's online stores
Best & Average Price	Lowest price and the average across all offers for the query
Structured JSON Output	Clean, validated data ready for analysis

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Use Cases

• E-commerce & Price Research: Discover where a product is sold and at what price across many stores at once
• Competitor Analysis: Compare your store's price against every other listing for the same product
• Cross-Market Pricing: Compare the same product's price across countries
• Price Monitoring: Run periodically to detect price drops and new sellers

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Input Parameters

Parameter	Type	Default	Description
productName	string	none	Product name / search term to look up (required)
country	string	br	Market to search (br, us, gb, de, fr, es, it)
maxResults	integer	20	Maximum number of offers to return (1–50)

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Output Example

Each offer is returned as a row, followed by a summary row with the headline metrics:

[
  {
    "record_type": "product",
    "name": "Aparador De Pelos Mondial BG-03 Bivolt",
    "price": 49.9,
    "price_text": "R$ 49,90",
    "store": "Magazine Luiza",
    "url": "https://www.magazineluiza.com.br/aparador-de-pelos-mondial-bg-03/p/...",
    "product_id": "1234567890",
    "review": 4.5,
    "review_count": 312,
    "product_name_query": "APARADOR DE PELOS MONDIAL BG03",
    "country": "br",
    "products_found": 18,
    "average_price": 57.43,
    "scraped_at": "2026-05-18T22:40:00.000Z"
  },
  {
    "record_type": "summary",
    "price": 49.9,
    "store": "Magazine Luiza",
    "url": "https://www.magazineluiza.com.br/aparador-de-pelos-mondial-bg-03/p/...",
    "product_name_query": "APARADOR DE PELOS MONDIAL BG03",
    "country": "br",
    "products_found": 18,
    "products_returned": 18,
    "average_price": 57.43,
    "best_price": { "name": "Aparador De Pelos Mondial BG-03 Bivolt", "price": 49.9, "store": "Magazine Luiza" },
    "scraped_at": "2026-05-18T22:40:00.000Z"
  }
]

Note: review, review_count, and product_id are included when available for the offer.

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Data Fields

Field	Type	Description
record_type	string	Row type: product for an offer, summary for the aggregate. The summary row carries no offer columns, so aggregating price needs no filtering
name	string	Product / offer title
price	number	Offer price in the market's currency. Offer rows only
price_text	string	Price as displayed (e.g. "R$ 49,90", "$24.99")
store	string	Merchant / store name
url	string	Google Shopping link for the offer, which opens the merchant's listing
currency	string	ISO currency for the offer (BRL, USD, GBP, EUR)
position	number	Rank of the offer within the results
image	string	Product image, embedded. Present only with includeImages
product_id	string	Product catalog id, when available
review	number	Average rating, when available
review_count	number	Number of reviews, when available
product_name_query	string	The search term for this result
country	string	Market the offers were collected from
products_found	number	Total offers found for the query
products_returned	number	Offers returned (limited by maxResults)
average_price	number	Average price across the offers found for the query
best_price	object	The lowest-priced offer found for the query. See the note below
scraped_at	string	ISO 8601 timestamp (UTC)

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Integrations

Use the API tab on the Actor page to get ready-to-use code examples in Python, JavaScript, and cURL, generated with the correct parameters for immediate integration.

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Example Searches

Market	productName
Brazil	GELADEIRA CONSUL CRM44
United States	Logitech MX Master 3S
Germany	Bosch Series 6 Geschirrspuler

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FAQ

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Support

1. Check the FAQ above for common questions
2. Test with the prefilled example to confirm expected output
3. Contact support through Apify for additional assistance