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Saylor Innovations Schema.org Extractor
x402
Saylor Innovations Schema.org Extractor is a paid API for AI agents from saylorinnovations.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Extracts schema.org JSON-LD structured data from any public web page, returning entity types, names, URLs, fields, @graph contents, microdata counts, and parse errors
Price / call$0.01
Success—
StatusUnknown
How this service works
Extract schema.org JSON-LD structured data from a page - entity types, names, URLs and fields, including @graph, plus microdata count and parse errors
Output
Returns a JSON object with the canonical URL, a boolean indicating whether structured data is present, the count of JSON-LD blocks and microdata items, an array of entity types found, a list of item objects (each with type, name, URL, description, and field names), any parse errors encountered, and the data source used for extraction.
Example use cases
SEO structured data audit
“Check https://myblog.com/article/top-10-tips for schema.org markup — tell me what entity types are declared, what fields they include, and whether there are any JSON-LD parse errors I need to fix.”
Competitor product schema research
“Pull the schema.org structured data from https://competitor.com/product/wireless-headphones — I want to know what schema types they use, the property names they define, and how many JSON-LD blocks are on the page.”
E-commerce schema verification
“Verify the structured data on https://myshop.com/checkout — does it have schema.org markup? If so, what entity types and fields are present, and are there any microdata items or errors detected?”
Technical details
Endpoint
GEThttps://saylorinnovations.com/api/web/schema-org?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to programmatically inspect, audit, or compare schema.org/JSON-LD structured data on any public webpage — especially for SEO audits, competitive research, data enrichment pipelines, or verifying that a site's markup conforms to expected entity types. It is purpose-built to surface @graph nodes, microdata counts, and parse errors in a single call, making it more targeted than a generic HTML scraper.
Side effects
- Page URL is not publicly accessible or returns a non-200 status — result may show no structured data or an error
- Page uses JavaScript-rendered schema.org data that is not present in raw HTML — entities may not be detected
- Malformed JSON-LD on the page may be captured in parse_errors array but entities may be partially or not extracted
- URL parameter missing — request will fail validation
- Page has no schema.org markup — response returns has_structured_data: false with empty items and types arrays
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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