# rapidapi-metadata-extractor

> rapidapi-metadata-extractor — josejux-rapidapi-metadata-extractor. Use this tool when you need to extract valuable metadata from any website, solving problems such as SEO optimization, tech stack analysis, and security auditing. It takes a URL as input and returns structured web intelligence, including SEO metadata, public contacts, and security headers audit, in a clean AI-ready Markdown format. Ideal for use cases requiring quick web data extraction and analysis, such as market research, competitor analysis, or cybersecurity assessments.

Canonical page: https://skillsregistry.net/skills/josejux-rapidapi-metadata-extractor  
JSON: https://api.skillsregistry.net/v1/skills/josejux-rapidapi-metadata-extractor

## Description

Turns any URL into structured web intelligence in one call: SEO/OpenGraph metadata, public contacts, tech-stack fingerprinting, Schema.org data, a security-headers audit, and clean AI-ready Markdown. Anti-SSRF hardened by design.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/opx8nrzywb)
- **Repository:** <https://github.com/JosejuX/rapidapi-metadata-extractor>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "josejux-rapidapi-metadata-extractor"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/josejux-rapidapi-metadata-extractor` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/josejux-rapidapi-metadata-extractor/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt