Nike Air Max 270
$150.00
Nike
4.5 (1,245)
Free delivery
Product search data, structured
Google Shopping API for structured product search data
Retrieve product titles, prices, merchants, ratings, reviews, thumbnails, delivery details, IDs, links, and offer context for ecommerce intelligence and AI shopping workflows.
No credit card500 free requestsNo-code friendly
Google Shopping API playground
Search products. Inspect structured JSON.
Live Google Shopping
US · en
{
"searchParameters": {
"type": "shopping",
"engine": "google",
"q": "running shoes",
"country": "US",
"language": "en"
},
"shoppingResults": [
{
"title": "Nike Air Max 270",
"link": "https://www.nike.com/t/air-max-270-mens-shoes-KkLcGR/AH8050-002",
"price": "$150.00",
"extracted_price": 150,
"merchant": "Nike",
"rating": 4.5,
"reviews": 1245,
"imageUrl": "https://static.nike.com/a/images/t_PDP_1280_v1/f_auto,q_auto:eco/skwgyqrbfzhu6uyeh0xt/air-max-270-mens-shoes-KkLcGR.png",
"delivery": "Free delivery",
"position": 1,
"product_id": "shop_001"
},
{
"title": "Adidas Ultraboost 22",
"link": "https://www.adidas.com/us/ultraboost-22-shoes/GX5461.html",
"price": "$190.00",
"extracted_price": 190,
"original_price": "$210.00",
"merchant": "Adidas",
"rating": 4.7,
"reviews": 987,
"imageUrl": "https://assets.adidas.com/images/h_840,f_auto,q_auto,fl_lossy,c_fill,g_auto/fbaf991a78bc4896a3e9ad7800abcec6_9366/Ultraboost_22_Shoes_Black_GZ0127_01_standard.jpg",
"delivery": "Delivery by Friday",
"position": 2,
"product_id": "shop_002"
},
{
"title": "New Balance 574",
"link": "https://www.newbalance.com/pd/574/ML574V2-33381.html",
"price": "$84.99",
"extracted_price": 84.99,
"merchant": "New Balance",
"rating": 4.3,
"reviews": 756,
"imageUrl": "https://nb.scene7.com/is/image/NB/ml574evn_nb_02_i?$pdpflexf2$&wid=440&hei=440",
"delivery": "Free delivery",
"position": 3,
"product_id": "shop_003"
},
{
"title": "Converse Chuck Taylor All Star",
"link": "https://www.converse.com/shop/p/chuck-taylor-all-star-unisex-high-top-shoe/M9160.html",
"price": "$60.00",
"extracted_price": 60,
"merchant": "Converse",
"rating": 4.8,
"reviews": 2345,
"imageUrl": "https://www.converse.com/dw/image/v2/BCZC_PRD/on/demandware.static/-/Sites-cnv-master-catalog/default/dw8b7e80c5/images/a_107/M9160_A_107X1.jpg",
"delivery": "Delivery by Monday",
"position": 4,
"product_id": "shop_004"
}
],
"filters": [
"Under $100",
"Men's",
"Women's",
"Athletic",
"Casual"
]
}Trusted by the best startups in the world
The problem
Shopping data is valuable, but difficult to structure
Results change constantly
Prices, sellers, availability, delivery, discounts, reviews, and placements move quickly.
Shopping results are complex
Queries can return sellers, variations, sponsored products, IDs, delivery options, and comparisons.
Pages are not product-ready
Products need clean titles, prices, merchants, ratings, images, links, and offer metadata.
Structured shopping data
Turn product searches into API-ready fields
Use normalized shopping results for price monitoring, competitor tracking, AI assistants, marketplace intelligence, and retail dashboards.
Product titlesProduct linksProduct IDsMerchantsCurrent pricesRatings and reviewsDelivery detailsThumbnails
Capabilities
Built for ecommerce and retail intelligence
Product search results
Fetch structured products for categories, brands, SKUs, models, and commercial queries.
Price monitoring
Track current prices, original prices, discounts, numeric values, and offer changes.
Seller and merchant data
Return seller names, product links, source context, and available offer metadata.
Ratings and reviews
Collect scores and review counts to understand product trust and positioning.
Country and language targeting
Compare localized prices, availability, delivery, and merchant visibility.
Structured JSON
Receive normalized product fields that are easier to compare, store, and display.
Use cases
Use shopping data across your product stack
Ecommerce intelligence
Track prices, sellers, discounts, delivery options, and product visibility.
AI shopping assistants
Give agents current product options, prices, ratings, merchants, and links.
Marketplaces and retailers
Monitor competing products, price gaps, seller coverage, and positioning.
SEO and growth
Analyze shopping visibility, competitor placements, and commercial query opportunities.
How it works
From product query to usable shopping data
01
Send a shopping query
Choose a product keyword, country, language, and supported commercial parameters.
02
Retrieve and structure
Process the shopping search and normalize products, prices, merchants, and offers.
03
Use the response
Send data into pricing, ecommerce, AI, marketplace, database, or reporting workflows.
Developer experience
Simple for one search. Flexible for production.
Use the Scrapes endpoint and Google Shopping parser without maintaining retrieval, parsing, normalization, and monitoring infrastructure.
REST APIAPI key authenticationJSON responsesCountry and languageProduct and offer fieldsBatch-ready workflows
Read the docs cURL
Comparison
Build a shopping pipeline or use an API?
Requirement
Build internally
Use the API
Product collection
Build and maintain it
Request structured results
Price extraction
Parse and normalize
Price fields in JSON
Seller extraction
Map merchants
Seller fields where available
Thumbnails
Parse images
Thumbnail URLs
Localization
Regional query logic
Country and language
Developer time
High maintenance
Faster integration
Go from search to product detail
Where supported, use product identifiers to retrieve richer images, specifications, seller offers, price comparisons, delivery, policies, related products, and variants.
Give AI shopping tools current product context
Pass reviewed products, prices, merchants, ratings, delivery details, and links into comparison engines, recommendation tools, and price agents.
Designed for responsible ecommerce data workflows
Review merchant and marketplace terms, product-image rights, pricing and consumer-protection rules, attribution, caching, retention, and applicable laws. Keep prices and availability fresh and avoid misleading users with stale offers.
Pricing
Google Shopping API pricing
Start with 500 free requests, then scale retail-data workflows.
Frequently asked questions
Product & Capabilities
What is a Google Shopping API?
A Google Shopping API lets developers submit product queries and receive structured shopping data such as titles, prices, sellers, ratings, reviews, delivery details, thumbnails, product IDs, and links.
Is this the official Google Shopping API?
No. This page describes Olostep's Google Shopping results parser and scraping workflow. It is not an official Google product, partnership, or endorsement.
What fields can the API return?
Typical fields include title, price, extracted numeric price, currency, merchant, product URL, product ID, rating, review count, delivery details, thumbnail, condition, position, and query metadata.
How is this different from a Web Search API?
Web Search returns broad pages and URLs. Google Shopping results focus on product-specific fields such as prices, merchants, ratings, reviews, delivery, images, and IDs.
Usage & Automation
Can I target countries or languages?
Yes. Country and language parameters support localized shopping-result research across markets.
Can I filter by price?
Price filtering can be used where supported. Confirm available minimum-price, maximum-price, sale, and commercial filter parameters for your integration.
Can I get seller information?
Seller fields can include merchant name, source, product URL, delivery information, and available offer metadata.
How is this different from Google Merchant API?
Google Merchant API helps merchants manage their own Merchant Center inventory. This results-data workflow retrieves and structures public shopping search results.
Do I need to manage scraping infrastructure?
No. Olostep handles request execution, result retrieval, parsing, normalization, and JSON delivery.
Pricing & Plans
Can I use it for price monitoring?
Yes. Shopping results can support competitor pricing, product visibility, marketplace research, and retail intelligence.
Can I use it for AI shopping assistants?
Yes. Structured products can provide current options, prices, merchants, ratings, reviews, and links before recommendations or comparisons.
Can I republish product images or seller data?
Do not assume product images, names, merchant data, or offer content can be freely republished. Verify copyright, trademarks, source terms, attribution, and applicable laws.
How do I start?
Create an API key, run a sample shopping query, review the structured response, and connect the data to your product or workflow.
