Look up a Google Shopping product by its listing identifier and retrieve deep product details, structured specs, images, and seller offers from Google's immersive product page through one purpose-built API endpoint.
Use the same API key and credit balance across every ScrapeBadger API.
{
"title": "Example Wireless Earbuds",
"brand": "ExampleBrand",
"rating": 4.6,
"reviews_count": 812,
"price_range": "$49.00 - $79.00",
"sellers": [
{
"name": "Example Store",
"price": "$59.99"
}
]
}Move from a Google Shopping product identifier to deep product details, specs, images, and seller offers with one structured JSON response.
/v1/google/products/detail7 creditsRetrieve deep product details, structured specs, images, and seller offers from Google's immersive Shopping product page for a specific product.
This endpoint does not accept an arbitrary product ID on its own. Pass the product's gpcid as product_id together with the exact q that surfaced it, or pass that result's page_token alone, which already encodes product_id, q, gl, hl, and domain for you.
product_id | required | Google Shopping product identifier (gpcid), returned as product_id/gpcid on /shopping/search result tiles. |
q | required | The original search query that surfaced the product. The product must be discoverable via this exact query. |
curl --get \
'https://scrapebadger.com/v1/google/products/detail' \
--data-urlencode 'product_id=12337842083609640743' \
--data-urlencode 'q=wireless earbuds' \
--data-urlencode 'include_offers=true' \
--header 'x-api-key: YOUR_API_KEY'{
"title": "Example Wireless Earbuds",
"description": "True wireless earbuds with active noise cancellation and a 30-hour battery case.",
"brand": "ExampleBrand",
"rating": 4.6,
"reviews_count": 812,
"price_range": "$49.00 - $79.00",
"sellers": [
{
"name": "Example Electronics",
"price": "$59.99",
"link": "https://example.com/product/wireless-earbuds",
"shipping": "Free shipping"
},
{
"name": "Example Marketplace",
"price": "$54.99",
"link": "https://marketplace.example.com/item/12345",
"shipping": "$4.99 shipping"
}
],
"specs": {
"Color": "Black",
"Connectivity": "Bluetooth 5.3",
"Battery Life": "8 hours (earbuds), 30 hours (case)"
},
"images": [
"https://example.com/images/earbuds-1.jpg",
"https://example.com/images/earbuds-2.jpg"
],
"product_id": "12337842083609640743"
}Retrieve the seller list for a product, including seller name, price, shipping, and link. Set include_offers=true to expand coverage from the top panel merchants to roughly fifty additional sellers, useful for price-comparison tools or tracking where a product is listed.
Pull title, description, brand, price range, specs, and images for a product and use them to enrich an internal catalog, marketplace listing, or comparison page with structured data instead of manual entry.
Track rating and reviews_count for competitor or in-house products across repeated requests to monitor reputation trends, spot rating changes, and support competitive research.
Set include_variants=true to retrieve a product's available size or colour variants alongside its core details, useful for inventory research, assortment comparisons, or building richer product pages.
1,000 free credits · No credit card required
Use the same ScrapeBadger account, API key, and credit balance to connect immersive product detail with Shopping search, broader search results, demand signals, and current news.
Search Google Shopping for products and retrieve each result's gpcid, page_token, price, and seller preview. Use it to get the product_id and q, or the bundled page_token, that this endpoint needs to fetch full product detail.
Explore the Google Shopping Search API →Search Google results for brand pages, retailer listings, and other public information around a product. Use it alongside product detail when a workflow needs broader research beyond the immersive panel.
Explore the Google SERP API →Measure relative search interest over time and compare geographic demand for a product or category. Use it to prioritise which products are worth monitoring for price and seller changes.
Explore the Google Trends API →Search Google News for product launches, recalls, and brand coverage. Use it alongside product detail when a workflow needs current news context around a product or brand.
Explore the Google News API →Structured JSON responses remove browser automation, proxy orchestration, and HTML parsing from your roadmap. Make your first request in minutes and move from proof of concept to production without maintaining scrapers.
99.9% uptime SLA. Your data pipeline does not stop because Google changes a page, rotates an anti-bot challenge, or moves a result block. Monitoring, session management, browser infrastructure, and parsing are all us.
Search, Maps, News, Hotels, Trends, Jobs, Shopping, Patents, Scholar, Images, Videos, Finance, AI Mode, Lens, Local, Shorts, Flights, Products, and Autocomplete — every Google surface under one API key.
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Build asynchronous data pipelines with typed responses, retry handling, and access to the complete Google API suite.
Add Google data to Node.js and TypeScript applications with type definitions and support for both ESM and CommonJS.
Connect from any backend or programming language using standard HTTP requests. Responses arrive as structured JSON that can be stored, transformed, or passed into another service.
Access Search, Maps, News, Trends, Shopping, Scholar, Flights, and every other supported Google product with one ScrapeBadger API key and one credit balance.
Give compatible AI agents access to Google Search, Maps, News, Trends, Shopping, Scholar, Images, Flights, and more through ScrapeBadger's MCP server.
Run Google searches, inspect trends, collect local business data, and export results as JSON, CSV, Markdown, or terminal-friendly tables without building an application.
See why developers choose ScrapeBadger for reliable, structured web data.
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Everything you need to know about the Immersive Product API.
specs object, an images array, and the seller list. Each seller entry can include its name, price, shipping, and link.product_id together with the exact q that surfaced it in a /v1/google/shopping/search call. This endpoint does not accept an arbitrary product ID on its own./v1/google/shopping/search result tile also returns a page_token that already encodes product_id , q , gl , hl , and domain . Passing page_token alone takes precedence over the legacy product_id + q form, so new integrations should prefer it.include_offers expands the seller list beyond the top panel merchants to roughly fifty additional sellers gathered from Google's paginated offer data. It adds a small amount of latency in exchange for broader price-comparison coverage.include_variants fetches a product's available size or colour variants alongside its core details. resolve_deep_urls (only meaningful with include_offers=true) attempts to resolve additional merchant deep links by rendering the Shopping results page; some paid-listing merchants can still only be resolved to their homepage, and this option adds several seconds of latency.Use 1,000 free credits to retrieve deep product details, structured specs, images, and seller offers through one structured JSON endpoint.
No credit card required · Failed requests cost 0 credits
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