wigolo-agent
Autonomous data gathering across sources — plans search queries and URLs from a natural-language prompt, executes in parallel…
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
Claude Code
$ npx -y skills add KnockOutEZ/wigolo --skill wigolo-extract --agent claude-code
Codex
$ npx skills add KnockOutEZ/wigolo --skill wigolo-extract -a codex -y
Cursor
$ npx skills add KnockOutEZ/wigolo --skill wigolo-extract -a cursor -y
Gemini CLI
$ npx skills add KnockOutEZ/wigolo --skill wigolo-extract -a gemini-cli -y
GitHub Copilot
$ npx skills add KnockOutEZ/wigolo --skill wigolo-extract -a github-copilot -y
OpenCode
$ npx skills add KnockOutEZ/wigolo --skill wigolo-extract -a opencode -y
Windsurf
$ npx skills add KnockOutEZ/wigolo --skill wigolo-extract -a windsurf -y
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
Structured data extraction beyond simple markdown.
// 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" }| Mode | What it extracts | When to use | |------|-----------------|-------------| | `structured` | Tables + definition lists + JSON-LD + chart hints + key-value pairs | **Default choice — use this** | | `tables` | HTML tables only | When you specifically need only tables | | `schema` | Fields matching a JSON Schema (LLM-sourced fields verified against source; hallucinated values returned as null) | When you know the exact fields you want | | `brand` | Logo, favicon, colors, fonts, social_links (with provenance; favicons never promote to logo_url) | Brand kit / identity extraction | | `metadata` | OpenGraph, meta tags, JSON-LD, canonical_url, og_image | For page metadata only | | `selector` | CSS selector matches | When you know the exact CSS selector |
**Always use `mode: "structured"` instead of `mode: "tables"`.** Structured captures everything tables does, plus definitions, key-value pairs, JSON-LD, and chart descriptions.
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.
`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" } } }`.
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`.
`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`.
`max_tokens_out` (cl100k-base) caps extracted output; trailing table rows or heavy keys are dropped first to fit.
The go-to web for your AI coding agent — local-first search, fetch, crawl & research over MCP. No API keys, no cloud, $0/query. Public beta.
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