Same dishwasher, three retailers, three names, three formats. Covala resolves it to one product with structured offers from each store — so you build comparison features, not matching infrastructure.
Same product across 20 retailers, matched by GTIN and MPN. One product identity, multiple offers.
Inconsistent retailer specs converted to typed, filterable fields. Compare dimensions, capacity, and features across stores.
Current prices from 20 retailers attached to each product. No scraping, no rate limiting, no maintenance.
{
"data": [
{
"id": "prod_8f3k2m",
"name": "Samsung Smart 42dBA Dishwasher with StormWash+",
"brand": "Samsung",
"gtin": "887276726014",
"specs": {
"noise_level": "42 dBA",
"capacity": "15 place settings",
"width": "23.875 in",
"energy_star": true
},
"offers": [
{
"retailer": "Best Buy",
"price": 849.99,
"url": "https://bestbuy.com/..."
},
{
"retailer": "Home Depot",
"price": 898.00,
"url": "https://homedepot.com/..."
},
{
"retailer": "Lowe's",
"price": 849.99,
"url": "https://lowes.com/..."
}
]
}
],
"meta": { "total": 23, "cursor": "eyJpZCI6..." }
}format=ai returns ~300 tokens instead of ~2,000
A comparison app needs data from every retailer, matched and normalized. That's months of infrastructure you can skip.
Anti-bot protections, HTML format changes, rate limiting, and downtime monitoring for every retailer you want to cover.
Name variations, model number formats, and missing identifiers make cross-retailer matching a full-time engineering problem.
Polling schedules, rate limit management, data freshness tracking, and alerting when a retailer changes their page structure.
One retailer says '23.875 inches', another says '60.6 cm', a third says '24"'. Converting to consistent, typed fields takes real work.
Same dishwasher in stainless steel, black stainless, and white — three SKUs that should be one product with finish options.
Price comparison gets users in the door. These features keep them coming back.
Maintenance schedules, buying guides, and cost of ownership data for every product type — surface insights your competitors can't.
Quality tiers and cross-category coverage for 1,400+ brands. Help users understand what they're buying, not just the price.
Token-efficient format designed for LLM context windows. Build AI shopping assistants that compare products in conversation.
620+ product types in an industry-standard hierarchy. Filter, categorize, and navigate products with a consistent structure.
Cross-retailer entity resolution is the process of identifying the same product across different stores. Retailers use different names, model numbers, and formatting — so a Samsung dishwasher might appear as three unrelated products. Covala resolves this by matching products using GTIN barcodes and manufacturer part numbers (MPN), collapsing duplicates into a single product identity with offers from each retailer.
With the Covala API, add include=offers to any product query. Each product in the response includes an offers array with current prices, retailer names, and direct URLs for every store that carries it. You get structured price comparison data without scraping or maintaining retailer integrations.
Yes. Covala provides pre-matched products from 20 retailers with structured specs, pricing, and metadata. You query one API and get cross-retailer data that would otherwise require building and maintaining scrapers for every retailer, plus a matching engine to connect them.
Each product includes structured specifications (dimensions, capacity, features), pricing from up to 20 retailers, brand information, images, category and product type, GTIN and MPN identifiers, and a knowledge layer with maintenance schedules, buying guides, and cost of ownership data. Request format=ai for a condensed ~300-token summary optimized for LLM context windows.
Covala uses entity resolution to match products across retailers. When Best Buy lists a product as 'Samsung DW80B7070US' and Home Depot lists it as 'Samsung Smart 42dBA Dishwasher', Covala matches them by their shared GTIN barcode or MPN. The result is one canonical product with a clean name and offers from both stores.
50K+ products, 20 retailers, structured specs, and cross-retailer pricing — all from one API key.