# 🏷️ Meta Tag Analyzer (`taroyamada/meta-tag-analyzer`) Actor

Analyze meta tags, Open Graph, Twitter Cards, JSON-LD, canonical, hreflang for any URL. Detect SEO issues, missing tags, social preview problems. Bulk scan up to 500 URLs at once.

- **URL**: https://apify.com/taroyamada/meta-tag-analyzer.md
- **Developed by:** [太郎 山田](https://apify.com/taroyamada) (community)
- **Categories:** SEO tools, Developer tools
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use 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

## 🏷️ Meta Tag Analyzer

Analyze meta tags, Open Graph, Twitter Cards, JSON-LD, and hreflang for any URL. Detect SEO issues and missing social preview tags.

### Store Quickstart

Start with the **Quickstart** template (3 demo URLs). For full SEO audits, use **SEO Audit** template with 50+ URLs.

### Key Features

- 🏷️ **All meta tags extracted** — Title, description, keywords, canonical, robots, viewport, charset
- 📱 **Open Graph parsed** — og:title, og:image, og:description, og:type, og:url and more
- 🐦 **Twitter Card detected** — twitter:card, twitter:image, twitter:creator, twitter:site
- 🌍 **Hreflang inspected** — Multi-language alternate links for international SEO
- 🧩 **JSON-LD structured data** — Schema.org types detected (Article, Product, Organization, etc.)
- ⚠️ **Issues flagged** — Missing canonical, truncated titles, missing OG image, hreflang errors

### Use Cases

| Who | Why |
|-----|-----|
| **SEO specialists** | Audit title/meta tags for length, missing canonical, duplicate content |
| **Social media managers** | Verify Open Graph images render correctly on Facebook/LinkedIn |
| **International teams** | Validate hreflang tags on multilingual sites |
| **Content marketers** | Ensure Twitter Cards display properly when content is shared |
| **Schema.org auditors** | Detect missing or malformed structured data on product pages |

### Input

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| urls | string[] | (required) | URLs to analyze (max 500) |
| concurrency | integer | 10 | Parallel requests (1-10) |

### Input Example

```json
{
  "urls": ["https://example.com/product/1", "https://example.com/blog/post-1"],
  "concurrency": 10
}
````

### Output Example

```json
{
  "url": "https://example.com/product/1",
  "title": "Premium Widget — Example Store",
  "description": "Buy the best widget...",
  "canonical": "https://example.com/product/1",
  "og": {"title": "Premium Widget", "image": "https://example.com/widget.jpg", "type": "product"},
  "twitter": {"card": "summary_large_image"},
  "hreflang": [{"lang": "en-us", "href": "..."}],
  "jsonLd": [{"@type": "Product", "name": "Premium Widget"}],
  "issues": []
}
```

### FAQ

**Which meta tags are most important for SEO?**

title, description, canonical, and robots are critical. og:image matters for social shares. hreflang matters if you have multilingual content.

**Can it follow redirects?**

Yes. Meta tags are extracted from the final URL after redirects.

**Does it render JavaScript?**

No. Tags are extracted from initial HTML only. If your site renders tags client-side, this actor won't see them.

**What issues are flagged?**

Truncated titles (>60 chars), missing description, missing canonical, missing og:image, duplicate meta description.

### Related Actors

URL/Link Tools cluster — explore related Apify tools:

- [🔗 URL Health Checker](https://apify.com/taroyamada/bulk-url-health-checker) — Bulk-check HTTP status codes, redirects, SSL validity, and response times for thousands of URLs.
- [🔗 Broken Link Checker](https://apify.com/taroyamada/broken-link-checker) — Crawl websites to find broken links, 404 errors, and dead URLs.
- [🔗 URL Unshortener](https://apify.com/taroyamada/url-shortener-resolver) — Expand bit.
- [📚 Wayback Machine Checker](https://apify.com/taroyamada/wayback-machine-checker) — Check if URLs are archived on the Wayback Machine and find closest snapshots by date.

### Cost

**Pay Per Event**:

- `actor-start`: $0.01 (flat fee per run)
- `dataset-item`: $0.003 per output item

**Example**: 1,000 items = $0.01 + (1,000 × $0.003) = **$3.01**

No subscription required — you only pay for what you use.

# Actor input Schema

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

URLs to extract meta tags from (max 500).

## `concurrency` (type: `integer`):

Number of parallel requests

## `timeoutMs` (type: `integer`):

Request timeout in milliseconds

## `delivery` (type: `string`):

Where to send results: dataset or webhook

## `webhookUrl` (type: `string`):

Webhook URL to POST results to (if delivery=webhook)

## `dryRun` (type: `boolean`):

Run without saving results (for testing)

## Actor input object example

```json
{
  "urls": [
    "https://github.com",
    "https://news.ycombinator.com"
  ],
  "concurrency": 5,
  "timeoutMs": 10000,
  "delivery": "dataset",
  "dryRun": false
}
```

# 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://github.com",
        "https://news.ycombinator.com"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("taroyamada/meta-tag-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://github.com",
        "https://news.ycombinator.com",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("taroyamada/meta-tag-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://github.com",
    "https://news.ycombinator.com"
  ]
}' |
apify call taroyamada/meta-tag-analyzer --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "🏷️ Meta Tag Analyzer",
        "description": "Analyze meta tags, Open Graph, Twitter Cards, JSON-LD, canonical, hreflang for any URL. Detect SEO issues, missing tags, social preview problems. Bulk scan up to 500 URLs at once.",
        "version": "0.1",
        "x-build-id": "cgPqYAdjaYwXpdkGx"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/taroyamada~meta-tag-analyzer/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-taroyamada-meta-tag-analyzer",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/taroyamada~meta-tag-analyzer/runs": {
            "post": {
                "operationId": "runs-sync-taroyamada-meta-tag-analyzer",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/taroyamada~meta-tag-analyzer/run-sync": {
            "post": {
                "operationId": "run-sync-taroyamada-meta-tag-analyzer",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "required": [
                    "urls"
                ],
                "properties": {
                    "urls": {
                        "title": "URLs to Analyze",
                        "type": "array",
                        "description": "URLs to extract meta tags from (max 500).",
                        "items": {
                            "type": "string"
                        }
                    },
                    "concurrency": {
                        "title": "Concurrency",
                        "minimum": 1,
                        "maximum": 10,
                        "type": "integer",
                        "description": "Number of parallel requests",
                        "default": 5
                    },
                    "timeoutMs": {
                        "title": "Timeout (ms)",
                        "minimum": 1000,
                        "maximum": 30000,
                        "type": "integer",
                        "description": "Request timeout in milliseconds",
                        "default": 10000
                    },
                    "delivery": {
                        "title": "Delivery Mode",
                        "enum": [
                            "dataset",
                            "webhook"
                        ],
                        "type": "string",
                        "description": "Where to send results: dataset or webhook",
                        "default": "dataset"
                    },
                    "webhookUrl": {
                        "title": "Webhook URL",
                        "type": "string",
                        "description": "Webhook URL to POST results to (if delivery=webhook)"
                    },
                    "dryRun": {
                        "title": "Dry Run",
                        "type": "boolean",
                        "description": "Run without saving results (for testing)",
                        "default": false
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```