version: "1.0.1" name: wigolo-extract description: | Local-first structured extraction from any webpage — tables, definition lists, key-value pairs, JSON-LD, microdata, chart hints (SVG titles / aria-labels / figcaptions), brand assets, and metadata. Use when the user wants structured data, pricing tables, feature comparisons, or says "extract the table", "get structured data", "pull the pricing", "extract as JSON". For autonomous navigation across many pages, use wigolo's agent tool instead. license: AGPL-3.0-only metadata: author: KnockOutEZ version: 0.3.1 homepage: https://github.com/KnockOutEZ/wigolo repository: https://github.com/KnockOutEZ/wigolo

wigolo extract

Structured data extraction beyond simple markdown.

Quick Reference

// Full structured extraction (ALWAYS prefer this)
{ "url": "https://bun.sh", "mode": "structured" }
// JSON Schema extraction — heuristic field matching
{ "url": "https://example.com/pricing", "mode": "schema", "schema": { "type": "object", "properties": { "name": { "type": "string" }, "price": { "type": "string" }, "sku": { "type": "string" } } } }
// CSS selector extraction
{ "url": "https://example.com", "mode": "selector", "css_selector": ".product-card", "multiple": true }
// Metadata only (matches fetch metadata shape)
{ "url": "https://example.com", "mode": "metadata" }
// From raw HTML
{ "html": "<table>...</table>", "mode": "tables" }

Modes

Always use `mode: "structured"` instead of `mode: "tables"`. Structured captures everything tables does, plus definitions, key-value pairs, JSON-LD, and chart descriptions.

Chart Hints

When a page has visual charts (SVG, Canvas), chart_hints contains text descriptions extracted from aria-labels, SVG <title>, and figcaptions. Use these to describe visual data even when the underlying data is JavaScript-rendered.

Schema Mode

mode: "schema" matches your JSON Schema field names against page content via CSS classes, ARIA labels, microdata, and JSON-LD. When a language model is available it sources fields and verifies each value against the source — hallucinated values are returned as `null` rather than guessed. Pass { properties: { field: { type: "string" } } }.

Named Schemas

Instead of hand-writing a schema, pass named_schema for a strict, heuristic-only extraction (no LLM required) into a known shape:

{ "url": "https://blog.example.com/post", "named_schema": "Article" }

Available: Article, Recipe, Product, CodeSnippet, Paper, EventListing. Mutually exclusive with schema.

Brand Mode

mode: "brand" pulls a page's identity assets — logo, favicon, colors, fonts, and social_links — each with provenance. Favicons never get promoted to logo_url.

Token Budget

max_tokens_out (cl100k-base) caps extracted output; trailing table rows or heavy keys are dropped first to fit.

Anti-Patterns

• DON'T use mode: "tables" — use mode: "structured" instead.
• DON'T pass a schema without properties key — handler rejects it.
• DON'T extract for a whole page when you need markdown — use fetch instead.

When NOT to use wigolo-extract

• Multi-page autonomous structured extraction — use wigolo's agent tool instead.
• Page requires login / click / form-fill before the data appears — handle authentication with use_auth or interact with the page before extracting.

See Also

• wigolo-fetch — for markdown content
• wigolo-agent — for multi-page schema-driven gathering