x402 Orthogonal ScrapeGraphAI Extract

x402

x402 Orthogonal ScrapeGraphAI Extract is a paid API for AI agents from x402.orthogonal.com, paid per call via x402, $0.025/call, status unknown (last checked 2026-10-01).

LLM-driven structured data extraction from a URL, raw HTML, or markdown using a natural language prompt and optional JSON schema.

Price / call$0.025

Seller volume →—

Success—

StatusUnknown

How this service works

LLM-driven extraction from a URL, HTML, or markdown input with a prompt and optional JSON schema.

Output

Returns structured JSON containing the fields extracted from the source content (URL, HTML, or markdown) as guided by the prompt and optional JSON schema. When a schema is provided, the output conforms to that schema. Without a schema, the LLM determines the output structure based on the prompt.

Example use cases

Extract product specs from e-commerce page

“Scrape https://www.bhphotovideo.com/c/product/1234567/sony_a7iv.html and extract the product name, price, key specs, and availability into structured JSON — use reader mode to clean up the page first.”

Parse job listings from a careers page

“Extract all job listings from https://stripe.com/jobs/search into a JSON array with fields: title, location, team, and url — use the page's HTML and give me structured output.”

Pull article metadata from news site

“From this HTML I'm giving you, extract the article title, author, publish date, summary, and tags — here's the raw HTML: <html>...</html> — return it as structured JSON matching this schema: {title: string, author: string, date: string, summary: string, tags: array}.”

Technical details

Endpoint

POSThttps://x402.orthogonal.com/scrapegraphai/api/extract?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need LLM-driven, prompt-guided extraction that returns structured JSON from arbitrary web content. It is superior to raw HTML scrapers when you want semantic extraction (not just DOM parsing), and better than generic search APIs when you already have a specific page to extract from. The optional JSON schema enforcement makes it ideal for agent pipelines that require consistent output shape. Use it when you need flexibility across URL, raw HTML, and markdown inputs in a single endpoint.

Side effects

URL is inaccessible or returns a non-200 status — extraction fails with a fetch error
Prompt is too vague — LLM returns partial or poorly structured data
No matching content found on the page for the requested fields — returns empty or null values
Rate limiting or bot detection on target site blocks fetch — returns fetch timeout or blocked error
Invalid JSON schema provided — schema validation error returned
HTML or markdown input is malformed or too large — parsing error or truncation

Input

Schema · Request body

Field	Type	Description
url	string	URL to extract from
html	string	Raw HTML to extract from
mode	string	Content mode: normal, reader, or prune
prompt	string	Extraction prompt (1-10000 chars)
schema	object	JSON schema for structured output
markdown	string	Markdown to extract from
contentType	string	Force content type
fetchConfig	object	Fetch options: mode, stealth, timeout, wait, headers, cookies, country, scrolls

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