Web Metadata, OpenGraph & Contact Extractor

Name: Web Metadata, OpenGraph & Contact Extractor
Author: JosejuX

by JosejuXversion 1.0.0i★ –iRuns in the cloud

Registry nameio.github.JosejuX/rapidapi-metadata-extractor

Install

Overview

Description from the maker (original English)

Turns any URL into SEO metadata, contacts, tech stack, and AI-ready Markdown, in one call.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs in the cloud
Transport: Streamable HTTP
Category: Marketing & social media
You need to fill in: x-api-host, x-api-key

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on the maker’s server: what you ask it goes through their server.
You fill in yourself: x-api-host, x-api-key

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

Runs in the cloudNothing to install; it connects over the internet

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

Run this in your terminal

claude mcp add --transport http rapidapi-metadata-extractor https://mcp.rapidapi.com --header 'x-api-host: your-value' --header 'x-api-key: your-value'

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "rapidapi-metadata-extractor": {
      "url": "https://mcp.rapidapi.com",
      "headers": {
        "x-api-host": "your-value",
        "x-api-key": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "rapidapi-metadata-extractor": {
      "type": "http",
      "url": "https://mcp.rapidapi.com",
      "headers": {
        "x-api-host": "your-value",
        "x-api-key": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

x-api-host required HTTP header
RapidAPI host header - use exactly: web-metadata-and-contact-extractor.p.rapidapi.com
x-api-key secret required HTTP header
Your RapidAPI key - get a free one at https://rapidapi.com/josejuanjocoding/api/web-metadata-and-contact-extractor

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account JosejuX, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
… Not checked yet
Endpoint responds
Not checked yet; we check endpoints in rotation
… Not checked yet
Sign-in with OAuth
Not checked yet; we check endpoints in rotation
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Marketing & social mediai

More stars than 0% of the other 3570 servers in this category
Published to the registry more recently than 24% of the other 3570 servers in this category
Basic checks equal to or better than 100% of the other 3570 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Web Metadata, OpenGraph & Contact Extractor safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: x-api-host, x-api-key

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 3 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Turn any URL into structured intelligence.

Extract SEO, technologies, contacts, products, social profiles, security signals, and AI-ready content from any public website — with one API call.

Free to try. No signup required for the demo.

🎮 Try the Live Demo • 🔑 Get Free API Key on RapidAPI • 📖 API Documentation • ⚡ Code Examples

Paste a URL, get real results in seconds — webmetadataextractor.com runs the actual pipeline live, no API key needed. Try your own site, or one of these:

/demo/extract is the same no-key route the live demo page above uses (see "Honest Limitations" — it's rate-limited per IP, not a documented/stable API endpoint). For integrating in code, use /api/v1/extract with a RapidAPI key as shown below.

Or call it directly (swap in your key from RapidAPI for production use):

curl "https://web-metadata-and-contact-extractor.p.rapidapi.com/api/v1/extract?url=github.com" \

-H "X-RapidAPI-Key: YOUR_KEY" -H "X-RapidAPI-Host: web-metadata-and-contact-extractor.p.rapidapi.com"

🎯 Use Cases

	Use case	What you get
🧲	Lead generation	Find companies on a given tech stack (e.g. Shopify) with a weak SEO score, then prioritize outreach.
🤖	AI agents	Feed `markdown_content` and structured JSON straight into an agent or RAG pipeline as clean, LLM-ready context for any URL.
🔎	SEO audits	Run the 14-point on-page score plus graded security headers across a URL list, on a schedule.
🛒	Ecommerce	Pull product name/price/currency/availability/brand from Schema.org, OpenGraph, and Microdata — cross-checked for conflicts.
🕵️	Competitive intelligence	Track a competitor's tech stack, metadata, and product data over time by re-checking the same URL list.

Example: lead generation — flag Shopify sites with a weak SEO score

import requests

RAPIDAPI_KEY = "YOUR_RAPIDAPI_KEY" HEADERS = { "X-RapidAPI-Key": RAPIDAPI_KEY, "X-RapidAPI-Host": "web-metadata-and-contact-extractor.p.rapidapi.com", } BASE = "https://web-metadata-and-contact-extractor.p.rapidapi.com/api/v1/extract"

for url in ["shop-a.com", "shop-b.com", "shop-c.com"]: data = requests.get(BASE, headers=HEADERS, params={"url": url}).json() if "Shopify" in data["detected_technologies"] and data["seo_score_percentage"] < 60: print(f"{url}: Shopify + {data['seo_score_percentage']}% SEO -> outreach candidate")

</details>

Example: AI agent tool call — clean Markdown for any URL

import requests

def read_url_as_markdown(url: str) -> str: """Tool function an LLM agent can call to read any public webpage.""" resp = requests.get( "https://web-metadata-and-contact-extractor.p.rapidapi.com/api/v1/markdown", headers={"X-RapidAPI-Key": "YOUR_KEY", "X-RapidAPI-Host": "web-metadata-and-contact-extractor.p.rapidapi.com"}, params={"url": url}, ).json() return resp["markdown_content"]

</details>

🌟 Key Features

Feature	Detail
⚡ Ultra-Fast Performance	~150–300ms live fetch. Powered by `selectolax` (C-Lexbor parser), Rust `ORJSON`, `uvloop`, HTTP/2 multiplexing, async DNS (non-blocking), 5-min DNS TTL cache.
🧠 Adaptive SPA Byte Limit	Auto-detects React, Next.js, Vue, Angular, Nuxt, Svelte, Gatsby, Remix, Astro and expands download to 256 KB for richer data extraction. Static sites stay at 64 KB.
🛡️ IP-Pinned Anti-SSRF Shield	DNS resolved once, IP validated against private/loopback/cloud-metadata ranges, connection pinned to IP with TLS SNI. Eliminates DNS Rebinding & Redirect SSRF.
🎯 Rich SEO & OpenGraph Metadata	Title, Description, OG Image, OG Type, OG URL, OG Video, Favicon, Canonical URL, Language, Author, Theme Color, Robots directive, hreflang tags, H1 headings, image count.
📧 Contact Extractor	Public emails and phone numbers with smart DOM cleaning to eliminate false positives. Phones are additionally normalized (`phone_details`) via libphonenumber — E.164 format, ISO country code, and possible/valid flags — for numbers that include a country code; numbers without one aren't guessed.
📲 Social Profile Finder	Auto-detects 20 platforms: Twitter/X, LinkedIn, Facebook, Instagram, GitHub, YouTube, Telegram, TikTok, Threads, Bluesky, Mastodon, Discord, Reddit, Pinterest, Medium, GitLab, Vimeo, Dribbble, Behance, Snapchat.
🛠️ 40+ Tech Stack Detector	WordPress, Shopify, WooCommerce, Webflow, React, Next.js, Vue, Angular, Svelte, TailwindCSS, Stripe, GA4, and more across CMS/ecommerce, frameworks, and analytics/payment/hosting categories.
📦 Schema.org JSON-LD + Product Parser	Parses all structured data schemas AND auto-extracts Product price, currency, availability, brand, rating and review count.
🎯 Multi-Source Data Quality & Conflict Detection	Product price/currency/availability/brand are cross-checked across three distinct structured encodings — JSON-LD, OpenGraph's product extension, and schema.org Microdata. `product_field_confidence` reports a per-field confidence score (more of these encodings agreeing = higher confidence, same philosophy as tech-stack detection) and which source won. When they genuinely disagree, a `SOURCE_CONFLICT` warning names the field, every value found, and which one was chosen and why. A top-level `quality` object (`score`, `rendered: false`, `sources_used`, `warnings`) summarizes response trustworthiness for programmatic consumers. Caveat: these three encodings often come from the same underlying product record on a given site, so agreement means "internally consistent," not "independently verified" — see Honest Limitations below.
📊 On-Page SEO Health Audit Score	14-point automated on-page technical SEO diagnostic (0–100%) with actionable warnings list, plus a structured `seo_checks` breakdown (`check` id, `passed`, `severity`, `evidence`) for programmatic use.
🔗 Internal vs External Link Classifier	Categorizes up to 100 hyperlinks per page.
🤖 AI & LLM Clean Markdown Reader	Converts article text to clean Markdown for ChatGPT, Claude, RAG, and AI agents. Includes word count and reading time.
📡 RSS / Atom Feed Discovery	Auto-discovers RSS and Atom feed URLs.
🔒 Graded Security Headers Audit	HSTS, CSP, X-Frame-Options, X-Content-Type-Options, Referrer Policy, Permissions Policy — each graded `missing`/`weak`/`reasonable`/`strong` from its actual value (e.g. a CSP with `unsafe-inline` scores as weak, not as "present = full credit"), not just presence, rolled into the percentage score. `/api/v1/security` additionally returns `security_header_grades` with the per-header breakdown.
🚀 15-Min In-Memory Cache	Cached responses served in < 0.01 ms server-side processing time.
⚡ Multi-Worker + Auto-Reconnect Redis	`uvicorn --workers N` multi-process cluster (set via the `WORKERS` env var; `gunicorn` is a listed dependency for anyone who prefers it as the process manager, but the shipped Dockerfile launches uvicorn directly). Distributed rate limiting via Redis with startup ping validation, automatic reconnect every 30s, and immediate `degraded_fallback` status propagation to `/health/details`.
🔒 Split `/health` + `/health/details`	Minimal public liveness probe (`/health`). Full operational details (Redis mode, status, engine) secured via `HEALTH_DETAILS_SECRET` header on `/health/details`.
🧯 Per-Host Circuit Breaker	Trips after repeated timeouts/connection failures/5xx to one host, fails fast during the cooldown window instead of burning the full connect+read timeout budget on every request, and probes recovery automatically (never trips on ordinary 4xx).
🧩 Request Single-Flight + DNS Coalescing	Concurrent requests for the same URL (or the same hostname's DNS lookup) share one in-flight fetch instead of hammering the origin N times.
🩹 Negative-Result Cache	Short-TTL caching of recent upstream failures (DNS/timeout/5xx) so a broken target fails fast instead of repeating the same slow failure for every request during an outage.
🧱 Adaptive Byte-Limit Hardening	Streaming byte cap is enforced on the decoded chunk, closing a decompression-bomb gap where a small gzip/br payload could otherwise expand to megabytes in a single read. Response headers are also count- and size-bounded.
🏷️ Structured Error Codes	Every error response carries a machine-readable `error.code` / `error.retryable` object (e.g. `SSRF_BLOCKED`, `UPSTREAM_TIMEOUT`, `CIRCUIT_OPEN`) alongside the existing `detail` string — fully additive, v1 contract unchanged.
📈 Prometheus Metrics + Structured JSON Logs	`/metrics` exposes request/cache/SSRF/circuit-breaker/rate-limit counters and latency histograms. Every log line is a JSON object with `request_id` for end-to-end tracing; known-sensitive fields are redacted automatically.
🧠 Confidence-Scored Tech Detection	`/api/v1/tech-stack` now also returns `technology_details`: per-technology confidence score, matched evidence, and category (cms/ecommerce/framework/analytics/payment/hosting/…), alongside the original flat list.
📦 Deeper Product & JSON-LD Parsing	Traverses `@graph` and top-level JSON-LD arrays (not just top-level objects), extracting SKU, MPN, GTIN/ISBN, seller, condition, price range, and images.
🔎 Unicode-Aware SEO & Keywords	Keyword extraction now matches non-ASCII scripts correctly (accented/Cyrillic/etc. content), and the SEO audit adds `lang` attribute, viewport, noindex, multi-H1, Twitter Card, and structured-data checks.

| ⚡ Lazy Extraction Per Endpoint | Specialized endpoints only run the extractors they actually need instead of the full pipeline — `/sec

Only the beginning is shown; read the rest in the repo

Web Metadata, OpenGraph & Contact Extractor

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Marketing & social mediai

Common questions

Alternatives

MCP YouTube Transcript

Google Analytics MCP

BibiGPT YouTube Video Summarizer

README from the maker

Turn any URL into structured intelligence.

🎯 Use Cases

🌟 Key Features