Web2Markdown: Web Page / PDF to Clean Markdown is a paid API for AI agents from lin-desk-x402.lindesk.workers.dev, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-12).
Fetches any public web page or PDF by URL and returns clean, LLM-ready Markdown text with title and metadata, billed per-call via x402.
Fetch any public web page or PDF and return clean main-content Markdown for AI agents / LLMs (boilerplate, nav and ads removed) plus title & metadata. CJK-aware; optional Simplified<->Traditional (incl. Hong Kong / Taiwan) conversion. Respects robots.txt. $0.002 per call, USDC on Base (x402). Failed extractions are not charged.
A JSON object containing the extracted Markdown text ('markdown'), page title ('title'), document type ('kind' e.g. 'html' or 'pdf'), character count ('chars'), the resolved final URL ('final_url'), original URL ('url'), metadata object, a boolean indicating if the content was truncated ('truncated'), applied Chinese conversion setting ('zh'), and processing time in milliseconds ('elapsed_ms').
GEThttps://lin-desk-x402.lindesk.workers.dev/v1/extract?utm_source=zero.xyzChoose this endpoint when you need to quickly convert any public HTML page or PDF into clean, LLM-ready Markdown without setting up an API key or managing credentials. It is ideal for AI agent pipelines that need on-demand, pay-per-call web content extraction with no subscription overhead. Prefer it over browser automation tools when you just need readable text content rather than interactive page rendering. The optional Chinese script conversion (OpenCC) and hyperlink preservation make it useful for multilingual or link-aware workflows.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"zh": "none",
"url": "https://example.com/",
"kind": "html",
"chars": 120,
"title": "Example Domain",
"markdown": "This domain is for use in documentation examples...",
"metadata": {},
"final_url": "https://example.com/",
"truncated": false,
"elapsed_ms": 350
}
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