# SEO Meta Analyzer (`hermesexp/seo-meta-analyzer`) Actor

Analyze SEO meta tags, OG data, headings, and schema markup from any webpage. Perfect for SEO audits, competitor research, and content optimization.

- **URL**: https://apify.com/hermesexp/seo-meta-analyzer.md
- **Developed by:** [Dima Radov](https://apify.com/hermesexp) (community)
- **Categories:** Marketing, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

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

## 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 Analyzer

An [Apify actor](https://apify.com/actors) that analyzes webpage SEO meta tags.

### Features

- **Meta tags** — title, description, keywords
- **Open Graph tags** — og:title, og:description, og:image
- **Heading structure** — counts of h1 through h6 tags
- **Image alt-text analysis** — how many images have alt text vs. missing it
- **Schema markup detection** — JSON-LD, Microdata, and RDFa

### Input

| Field | Type | Description |
|-------|------|-------------|
| `urls` | `string[]` | Array of webpage URLs to analyze |

### Output (per URL)

| Field | Type | Description |
|-------|------|-------------|
| `url` | `string` | The analyzed URL |
| `metaTitle` | `string\|null` | Content of `<title>` |
| `metaDescription` | `string\|null` | Meta description |
| `metaKeywords` | `string\|null` | Meta keywords |
| `ogTitle` | `string\|null` | Open Graph title |
| `ogDescription` | `string\|null` | Open Graph description |
| `ogImage` | `string\|null` | Open Graph image URL |
| `h1Count` | `int` | Number of `<h1>` with text |
| `h2Count` | `int` | Number of `<h2>` with text |
| `h3Count` | `int` | Number of `<h3>` with text |
| `h4Count` | `int` | Number of `<h4>` with text |
| `h5Count` | `int` | Number of `<h5>` with text |
| `h6Count` | `int` | Number of `<h6>` with text |
| `imagesWithAlt` | `int` | Images that have non-empty `alt` |
| `imagesWithoutAlt` | `int` | Images missing `alt` |
| `hasSchema` | `bool` | Whether structured data was detected |
| `error` | `string\|null` | Error message if the URL could not be fetched |

### Local development

```bash
pip install -r requirements.txt
python -m src
```

# Actor input Schema

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

Array of webpage URLs to analyze for SEO meta tags.

## Actor input object example

```json
{
  "urls": [
    "https://example.com"
  ]
}
```

# 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://example.com"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("hermesexp/seo-meta-analyzer").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://example.com"] }

# Run the Actor and wait for it to finish
run = client.actor("hermesexp/seo-meta-analyzer").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://example.com"
  ]
}' |
apify call hermesexp/seo-meta-analyzer --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Hnv8Wcv892Ec0iJzv/builds/AggOnqSgjTHYw69g1/openapi.json