JSONRecon Lite Schema.org JSON-LD Extractor is a paid API for AI agents from jsonrecon.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-14).
Fast, deterministic extraction of existing schema.org JSON-LD markup from any URL without AI, at $0.005 per call
Concise Schema.org JSON-LD and field-level Product verification for AI agents. Pay only for successful results with USDC on Base.
Returns the raw schema.org JSON-LD structured data already embedded in the target page, including any recognized types like Product, Article, LocalBusiness, Event, etc. If no existing markup is found or the domain is known-difficult (CAPTCHA, auth walls), the call is rejected before charging. Fast-paths are applied for Google Patents and academic publishers.
GEThttps://jsonrecon.com/extract/liteChoose this endpoint when you need to deterministically retrieve schema.org JSON-LD that already exists in a page's markup, with no AI involvement, at minimal cost ($0.005). Ideal for Google Patents and academic publisher URLs where fast-paths are built in. Use the free /check?url=TARGET endpoint first to avoid wasting payment on known-difficult domains. Prefer this over the AI-augmented sibling endpoint when the page is known to have existing markup and you don't need schema suggestions.
{
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"url": "https://www.schema.org"
}
}
}| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"data": {
"url": "https://schema.org",
"name": "Schema.org",
"@type": "WebSite",
"about": {
"logo": "https://schema.org/docs/schemaicon.png",
"name": "Schema.org Project",
"@type": "Project",
"sameAs": "https://github.com/schemaorg/schemaorg/",
"founder": [
{
"url": "https://google.com",
"name": "Google",
"@type": "Corporation"
},
{
"url": "https://microsoft.com",
"name": "Microsoft",
"@type": "Corporation"
},
{
"url": "https://yahoo.com",
"name": "Yahoo",
"@type": "Corporation"
},
{
"url": "https://yandex.com",
"name": "Yandex",
"@type": "Corporation"
}
],
"description": "Schema.org is a collaborative, community activity with a mission to create, maintain, and promote schemas for structured data on the Internet, on web pages, in email messages, and beyond.",
"foundingDate": "2011-06-2",
"publishingPrinciples": "https://www.w3.org/community/about/process/cla/"
},
"author": {
"name": "Schema.org Community Group",
"@type": "Organization",
"sameAs": "https://www.w3.org/community/schemaorg/"
},
"@context": "https://schema.org",
"potentialAction": {
"@type": "SearchAction",
"target": {
"@type": "EntryPoint",
"urlTemplate": "https://schema.org/docs/search_results.html?q={query}"
},
"query-input": "required name=query"
}
},
"_meta": {
"scrape_difficulty": "easy"
},
"cached": false,
"source": "existing_jsonld",
"success": true,
"confidence": "high",
"schema_type": "WebSite",
"extracted_at": "2026-05-29T19:19:03.588Z",
"page_schemas": [
"WebSite"
],
"extraction_ms": 1076
}{
"type": "json",
"example": {
"data": {
"sku": "11413-1983",
"name": "The Classic Seed Sack",
"@type": "Product",
"brand": {
"name": "Seed Sack",
"@type": "Brand"
},
"offers": {
"@type": "Offer",
"price": "17.99",
"priceCurrency": "USD"
},
"@context": "https://schema.org"
},
"cached": false,
"source": "existing_jsonld",
"success": true,
"confidence": "high",
"schema_type": "Product",
"extraction_ms": 350
}
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