Reader Pro Web Extractor is a paid API for AI agents from softbot-reader-mainnet.softbot.workers.dev, paid per call via x402, $0.004/call, status unknown (last checked 2026-10-20).
Fetches a public web page and returns structured data including OpenGraph/meta tags, JSON-LD, HTML tables, links, contacts, headings, and images — with optional CSS-selector field extraction, no LLM involved.
Reader Pro: fetch a public web page and return structured data, no LLM: OpenGraph/meta tags, parsed JSON-LD (schema.org), HTML tables as row objects, deduped internal/external links, emails/phones/social profiles, heading outline, images with alt text, plus optional CSS-selector fields.
Returns a structured JSON object containing any combination of: OpenGraph and standard meta tags, parsed JSON-LD (schema.org) objects, HTML tables as arrays of row objects, deduplicated internal and external links, extracted emails/phones/social profile URLs, a heading hierarchy outline, images with src and alt text, and text/attribute values for any custom CSS-selector fields provided.
POSThttps://softbot-reader-mainnet.softbot.workers.dev/v1/extract?utm_source=zero.xyzChoose this endpoint when you need structured, deterministic extraction of web page metadata and content without involving an LLM — ideal for scraping OpenGraph/JSON-LD, contact info, tables, links, and headings from public pages at low cost ($0.004/call). Prefer it over LLM-based extractors when repeatability, speed, and cost matter. Use it over the sibling markdown endpoint when you need structured entities (tables, contacts, schema.org) rather than readable prose.
| Field | Type | Description |
|---|---|---|
| url | string | Public http(s) URL |
| fields | object | Map of name -> CSS selector; returns text of up to 50 matches. Append ' @attr' to return an attribute, e.g. 'a.product @href'. Max 20 fields. |
| include | array | Sections to return (default: all) |
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