# Website Metadata Extractor Pro (`mighty_monk/website-metadata-extractor-pro`) Actor

Extract comprehensive website metadata from any URL in bulk: title, description, Open Graph, Twitter Cards, JSON-LD, favicon, canonical, robots, sitemap, language, and charset.

- **URL**: https://apify.com/mighty\_monk/website-metadata-extractor-pro.md
- **Developed by:** [Harsh](https://apify.com/mighty_monk) (community)
- **Categories:** SEO tools, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 1,000 result items

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Website Metadata Extractor Pro

Extract **comprehensive website metadata** from any URL in bulk. Get title, description, Open Graph tags, Twitter Cards, JSON-LD structured data, favicon, canonical URL, robots directives, sitemap links, language, and charset — ideal for SEO audits, link previews, and content pipelines.

**Pricing:** $0.003 per result (dataset item).

### Input

| Field | Type | Required | Default | Description |
|-------|------|----------|---------|-------------|
| `urls` | `string[]` | Yes | — | URLs to extract metadata from |
| `includeTwitterCards` | `boolean` | No | `true` | Include Twitter Card meta tags |
| `maxRequestsPerMinute` | `integer` | No | `60` | Rate limit for HTTP requests |
| `maxRequestRetries` | `integer` | No | `3` | Retries per failed request |
| `requestHandlerTimeoutSecs` | `integer` | No | `30` | Per-request timeout in seconds |
| `proxyConfiguration` | `object` | No | — | Optional Apify Proxy settings |

### Output (per URL)

| Field | Description |
|-------|-------------|
| `url` | Input URL (resolved after redirects) |
| `title` | Page title (`og:title` or `<title>`) |
| `description` | Page description (`og:description` or meta description) |
| `openGraph` | Object with all `og:*` meta properties |
| `twitterCards` | Object with all `twitter:*` meta properties |
| `jsonLd` | Array of parsed JSON-LD structured data objects |
| `favicon` | Favicon URL (resolved to absolute) |
| `canonical` | Canonical link URL |
| `robots` | Robots meta tag content |
| `sitemap` | Sitemap link URL from `<link rel="sitemap">` |
| `language` | Page language from `<html lang>` |
| `charset` | Document charset |
| `error` | Error message if extraction failed (`null` on success) |

### How it works

1. Fetches each URL with **Crawlee CheerioCrawler** (retries, rate limiting, optional proxy)
2. Parses HTML with **Cheerio**
3. Extracts Open Graph, Twitter Card, JSON-LD, canonical, favicon, robots, sitemap, language, and charset
4. Resolves relative URLs to absolute against the page URL
5. Pushes one dataset item per URL with graceful per-URL error handling

### Run locally

```bash
npm install
apify run
```

Example input (`storage/key_value_stores/default/INPUT.json`):

```json
{
    "urls": ["https://apify.com", "https://github.com"],
    "includeTwitterCards": true,
    "maxRequestsPerMinute": 60,
    "maxRequestRetries": 3,
    "requestHandlerTimeoutSecs": 30
}
```

See `examples/input.json` and `examples/output-sample.json` for more examples.

### Deploy to Apify

```bash
apify login
apify push
```

Configure pay-per-event pricing with `apify-default-dataset-item` at **$0.003** per result in the Apify Console monetization settings.

### Resources

- [Apify SDK for JavaScript](https://docs.apify.com/sdk/js/)
- [Crawlee CheerioCrawler](https://crawlee.dev/api/cheerio-crawler/class/CheerioCrawler)
- [Input schema](https://docs.apify.com/platform/actors/development/input-schema)
- [Pay per event pricing](https://docs.apify.com/platform/actors/publishing/monetize/pay-per-event)

# Actor input Schema

## `urls` (type: `array`):

List of URLs to extract website metadata from.

## `includeTwitterCards` (type: `boolean`):

Whether to extract Twitter Card meta tags (twitter:card, twitter:image, etc.).

## `maxRequestsPerMinute` (type: `integer`):

Rate limit for HTTP requests. Lower values reduce load on target servers.

## `maxRequestRetries` (type: `integer`):

Number of times to retry a failed request before marking it as failed.

## `requestHandlerTimeoutSecs` (type: `integer`):

Maximum time in seconds to wait for each URL request.

## `proxyConfiguration` (type: `object`):

Optional proxy settings. Use Apify Proxy to reduce blocking on large batches.

## Actor input object example

```json
{
  "urls": [
    "https://apify.com",
    "https://github.com"
  ],
  "includeTwitterCards": true,
  "maxRequestsPerMinute": 60,
  "maxRequestRetries": 3,
  "requestHandlerTimeoutSecs": 30,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `results` (type: `string`):

Dataset containing metadata for each input URL.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "urls": [
        "https://apify.com",
        "https://github.com"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("mighty_monk/website-metadata-extractor-pro").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "urls": [
        "https://apify.com",
        "https://github.com",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("mighty_monk/website-metadata-extractor-pro").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "urls": [
    "https://apify.com",
    "https://github.com"
  ]
}' |
apify call mighty_monk/website-metadata-extractor-pro --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=mighty_monk/website-metadata-extractor-pro",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/p2WUhsLZVyycYHcgA/builds/L2zSznCqRgbwrRKme/openapi.json