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Agent Market Lab Web Data – Single Page to Structured Data
x402
Agent Market Lab Web Data – Single Page to Structured Data is a paid API for AI agents from agent-market-lab-v2.dourfer-r.workers.dev, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-10).
Fetches a single public URL and converts it into compact machine-readable metadata, headings, JSON-LD, and plain text.
Price / call$0.005
Success—
StatusUnknown
How this service works
Pay-per-call public-web extraction, ecommerce data including a 10-product batch, change detection and website business research for autonomous agents via x402 on Base.
Output
A JSON object containing the original URL, HTTP status code, and a metadata block with fields such as page title, headings hierarchy, JSON-LD structured data blobs, and extracted plain text — all in a compact machine-readable format suitable for downstream agent processing.
Example use cases
Product page data extraction
“Grab https://www.nike.com/t/air-max-270-shoes and pull out the product name, structured data like schema.org markup, any headings, and the page metadata — I want clean machine-readable info about the product.”
News article content parsing
“Fetch https://techcrunch.com/2024/05/01/openai-gpt-5-announcement and extract the article title, all section headings, JSON-LD schema, and the main text content so I can process it further.”
Competitor landing page analysis
“Pull the structured metadata, headings, and page text from https://www.notion.so — I want to see how they describe themselves and what schema markup they use on their homepage.”
Technical details
Endpoint
POSThttps://agent-market-lab-v2.dourfer-r.workers.dev/v1/page-to-structured-data?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a single public web page converted into structured, machine-readable form quickly and cheaply ($0.005/call). It is ideal for AI agents that need to analyze page metadata, extract JSON-LD/schema.org data, or get clean text from a URL without building their own scraper. Prefer it over generic HTTP fetch tools when you specifically need headings, metadata, and JSON-LD parsed out of the response automatically.
Side effects
- Private hosts or IP literals rejected with an error response
- Non-public or paywalled pages may return incomplete or no content
- URLs exceeding 2048 characters are rejected
- Pages with heavy JavaScript rendering may yield incomplete text extraction
- HTTP errors from the target server (4xx/5xx) propagate in the status field
- Malformed or non-URI inputs are rejected at validation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| url | string | Absolute public HTTP or HTTPS URL to fetch and analyze. Private hosts and IP literals are rejected. |
Output
Schema · Response
{
"type": "json",
"example": {
"url": "https://example.com/",
"status": 200,
"metadata": {
"title": "Example Domain"
}
}
}Tags
x402
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