# SEO Meta & Schema Extractor (`blazing_stake/seo-meta-extractor`) Actor

Extract SEO metadata, Open Graph, Twitter Cards, JSON-LD schema, canonical, hreflang and headings from any list of URLs. Fast HTTP-based crawler.

- **URL**: https://apify.com/blazing\_stake/seo-meta-extractor.md
- **Developed by:** [Mehmet Kut](https://apify.com/blazing_stake) (community)
- **Categories:** SEO tools, Developer tools
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 page extracteds

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## SEO Meta & Schema Extractor

Extract complete **SEO metadata** from any list of URLs — fast, cheap, and at scale. This Actor pulls titles, meta descriptions, Open Graph tags, Twitter Cards, JSON-LD structured data, canonical URLs, hreflang alternates, headings, and image alt coverage from every page you give it.

Built on an HTTP crawler (no headless browser), so it's **10× faster and cheaper** than browser-based scrapers.

### 🎯 What it does

For each URL, it extracts:

- **Title** + character length (SEO length audit)
- **Meta description** + character length
- **Canonical URL**, robots, viewport, charset, `lang`
- **Open Graph** tags (`og:title`, `og:image`, `og:type`, …)
- **Twitter Card** tags
- **hreflang** alternates (international SEO)
- **JSON-LD** structured data (schema.org) + detected `@type`s
- **Headings** (H1, H2, H3)
- **Image stats** — total images + alt-text coverage %
- **Word count**

### 💡 Use cases

- **Technical SEO audits** — spot missing titles, thin descriptions, absent canonicals
- **Competitor research** — see how competitors structure their metadata & schema
- **Content inventory** — catalog metadata across an entire site
- **Structured-data validation** — extract and check JSON-LD at scale

### 📥 Input

| Field | Type | Description |
|-------|------|-------------|
| `startUrls` | array | List of page URLs to extract from |
| `maxConcurrency` | integer | Parallel requests (default 20) |
| `useProxy` | boolean | Route via Apify Proxy (default true) |
| `extractJsonLd` | boolean | Include JSON-LD structured data |
| `extractHeadings` | boolean | Include H1–H3 headings |

#### Example input

```json
{
  "startUrls": ["https://example.com", "https://example.com/about"],
  "maxConcurrency": 20,
  "useProxy": true
}
```

### 📤 Output

Each result is a structured JSON object:

```json
{
  "url": "https://example.com",
  "title": "Example Domain",
  "titleLength": 14,
  "description": "...",
  "descriptionLength": 143,
  "canonical": "https://example.com",
  "openGraph": { "og:title": "...", "og:image": "..." },
  "twitter": { "twitter:card": "summary" },
  "hreflang": [{ "lang": "en", "href": "..." }],
  "jsonLdTypes": ["Organization", "WebSite"],
  "images": { "total": 79, "withAlt": 79, "altCoveragePct": 100 },
  "wordCount": 1919
}
```

Export to JSON, CSV, Excel, or feed directly into your own tools via the Apify API.

### ⚡ Performance

HTTP-based crawling processes pages in ~0.5s each. A 1,000-URL batch finishes in minutes, not hours.

### 🔗 Tip

Pair this with the **Sitemap URL Extractor** to first pull every URL of a site, then feed them here for a full-site SEO audit.

# Actor input Schema

## `startUrls` (type: `array`):

List of page URLs to extract SEO metadata from. Accepts plain URL strings or objects with a 'url' field.

## `maxConcurrency` (type: `integer`):

Maximum number of pages fetched in parallel. Higher is faster but may get rate-limited by target sites.

## `useProxy` (type: `boolean`):

Route requests through Apify Proxy to avoid IP blocking. Recommended for large batches.

## `extractJsonLd` (type: `boolean`):

Parse and include schema.org JSON-LD structured data blocks found on each page.

## `extractHeadings` (type: `boolean`):

Include the text of H1, H2 and H3 headings (useful for content/SEO audits).

## Actor input object example

```json
{
  "startUrls": [
    "https://example.com/page-1",
    "https://example.com/page-2"
  ],
  "maxConcurrency": 20,
  "useProxy": true,
  "extractJsonLd": true,
  "extractHeadings": true
}
```

# Actor output Schema

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

No description

# 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 = {
    "startUrls": [
        "https://apify.com",
        "https://www.wikipedia.org"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("blazing_stake/seo-meta-extractor").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 = { "startUrls": [
        "https://apify.com",
        "https://www.wikipedia.org",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("blazing_stake/seo-meta-extractor").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 '{
  "startUrls": [
    "https://apify.com",
    "https://www.wikipedia.org"
  ]
}' |
apify call blazing_stake/seo-meta-extractor --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/s9jN7oYmfHOrNsxCU/builds/0YTPqQel0ppl0yuUd/openapi.json