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NightCobbler Schema Extract
x402
NightCobbler Schema Extract is a paid API for AI agents from api.nightcobbler.com, paid per call via x402, $0.05/call, status unknown (last checked 2026-10-12).
Fetches a URL or accepts raw HTML and extracts structured data conforming exactly to a caller-supplied JSON Schema, sourcing from JSON-LD, OpenGraph, Twitter cards, and meta tags.
Price / call$0.05
Success—
StatusUnknown
How this service works
Structured extraction to YOUR schema: POST a URL and a JSON Schema, get back JSON with exactly the fields you named. Reads the data pages already publish for machines (JSON-LD/schema.org, OpenGraph, Twitter cards, meta) and conforms it to your types — product price, currency, SKU, brand, rating, author, dates. Validated before it returns: a result that does not match your schema is an error, and errors are free.
Output
A JSON object containing your schema filled with values sourced from the page's machine-readable metadata (JSON-LD, OpenGraph, Twitter cards, meta tags), plus a 'found' list of successfully populated fields, a 'missing' list of fields not found on the page, a 'sources' array indicating which metadata formats were used, and a 'fetched_at' timestamp. The response is guaranteed to match your schema or an error is returned (errors are free).
Example use cases
E-commerce price and SKU extraction
“Grab https://shop.example.com/shoes/runner-x and pull out the product name, price as a number, currency code, SKU, and brand name — return them validated against my schema with those exact field names.”
Article authorship and date harvesting
“I have this article URL https://blog.example.com/post/2024-trends — extract the author name, publication date, article title, and description into a JSON object with fields author, publishedDate, title, and description.”
Structured data extraction from raw HTML
“I already have the HTML for a product page — can you extract the productName, price, rating, and reviewCount from it and give me back a validated JSON object with just those four fields?”
Technical details
Endpoint
POSThttps://api.nightcobbler.com/v1/schema-extract?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need structured data extracted from a specific page and want it validated against your own schema with zero tolerance for type mismatches. It is ideal when the target page already publishes machine-readable metadata (JSON-LD, OpenGraph, schema.org), such as e-commerce product pages, news articles, or blog posts. Prefer it over general-purpose scrapers when schema conformance and type validation matter, or when you want to pay only for successful extractions.
Side effects
- Schema uses unsupported constructs ($ref, oneOf, anyOf, allOf) — rejected with validation error
- Schema exceeds 32 fields — rejected
- Neither url nor html supplied — missing required input error
- URL is unreachable or returns non-200 — fetch error
- Extracted data does not match the provided schema — treated as an error (free of charge)
- Page has no machine-readable metadata — all fields returned as missing
- Invalid absolute URL format — rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| url | string | Absolute http(s) URL to fetch. Supply this or 'html'. |
| html | string | Raw HTML you already have. Supply this or 'url'. |
| schemarequired | object | JSON Schema: {type:'object', properties:{<field>:{type:'string'|'number'|'integer'|'boolean'|'array'}}, required:[...]}. Flat, scalars and scalar arrays, max 32 fields. $ref/oneOf/anyOf/allOf are rejected. |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| url | string | |
| data | object | Your schema, filled from the page. |
| found | array | |
| missing | array | |
| sources | array | |
| fetched_at | string |
Tags
x402
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