vibeeval/harvest-structured
skills/harvest-structured/SKILL.md
Structured data extraction - tables, pricing, products, API endpoints with schema
$ install --global
skillsauthnpx skillsauth add vibeeval/vibecosystem harvest-structuredInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 16, 2026, 1:49 AM4.4s1 file scanned
SKILL.md
- name:
- harvest-structured
- description:
- Structured data extraction - tables, pricing, products, API endpoints with schema
- allowed-tools:
- [Bash, Read, Write, WebFetch]
- keywords:
- [scrape, structured, data, extract, schema, table, pricing, product, json, csv]
Harvest Structured
Extract structured data from web pages using user-defined schemas. Turns messy HTML into clean JSON/CSV - pricing tables, product listings, API endpoint docs, comparison matrices.
Usage
/scrape <url> --schema "<field descriptions>"
Examples
# Extract pricing data
/scrape https://example.com/pricing --schema "plan_name, price, features[], cta_text"
# Extract product listings
/scrape https://store.example.com/products --schema "name, price, rating, reviews_count, image_url"
# Extract API endpoints
/scrape https://docs.api.com/reference --schema "method, path, description, parameters[], response_code"
Schema Definition
Define fields as comma-separated names. Use [] for arrays:
name → Single text value
price → Single value (auto-detects currency)
features[] → Array of items
description → Long text
url → Auto-detects links
image_url → Auto-detects image sources
How It Works
- Fetch page content
- Parse schema definition
- Use CSS selectors or LLM extraction to match fields
- Validate extracted data against schema
- Output as JSON (default) or CSV
Output Format
JSON (default)
[
{
"plan_name": "Pro",
"price": "$29/mo",
"features": ["Unlimited projects", "Priority support", "API access"],
"source_url": "https://example.com/pricing"
}
]
CSV
plan_name,price,features,source_url
Pro,"$29/mo","Unlimited projects; Priority support; API access",https://example.com/pricing
Integration
- growth: Competitor pricing extraction
- migrator: Changelog/breaking changes extraction
- tech-radar: Feature comparison across tools
- data-analyst: Structured data for analysis
Rules
- Only extract publicly visible data
- Respect rate limits (1 req/sec)
- Validate schema before extraction
- Report confidence per field (high/medium/low)
- Output includes source URL for every record
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