Parallel Extract is a paid API for AI agents from Parallel at parallelmpp.dev, paid per call via MPP or x402, $0.01/call, status unknown (last checked 2026-10-11).
Scrapes and extracts structured content (title, excerpts, full text) from one or more URLs using the Parallel Web Systems API.
Extract content from URLs
Returns a structured result per URL including the page title, an array of content excerpts, optionally the full page content, the publish date if available, and a unique extract_id. Also includes usage counts, any errors per URL, and global warnings.
POSThttps://parallelmpp.dev/api/extract?utm_source=zero.xyzUse this endpoint when you need to retrieve and read the actual textual content of known URLs — ideal for AI pipelines that need to ingest web page text, for research workflows pulling from specific sources, or when you already have URLs from a prior search step and want to extract their contents. Prefer this over a search endpoint when you know the exact URLs; prefer it over a generic HTTP fetch when you need clean, parsed, readable text rather than raw HTML.
{
"urls": [
"https://example.com"
],
"objective": "Extract main content and headings"
}| Field | Type | Description |
|---|---|---|
| urlsrequired | array | URLs to extract content from |
| objective | string | Optional extraction objective to guide content selection |
{
"usage": [
{
"name": "sku_extract_excerpts",
"count": 1
}
],
"errors": [],
"results": [
{
"url": "https://example.com",
"title": "Example Domain",
"excerpts": [
"# Example Domain\nThis domain is for use in documentation examples without needing permission. Avoid use in operations.\n[Learn more](https://iana.org/domains/example)"
],
"full_content": null,
"publish_date": null
}
],
"warnings": null,
"extract_id": "extract_0457461329924e9bb694254d690fe150"
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