# Social Preview & Meta Tag Checker (Open Graph, X Card, SEO) (`tanlabs/social-preview-meta-checker`) Actor

Bulk-check how links look when shared on X, LinkedIn, Facebook, Slack and WhatsApp. Validates Open Graph and X Card tags, og:image size, title/description length, canonical, favicon. Returns a 0-100 score, prioritized fixes and copy-paste meta tags.

- **URL**: https://apify.com/tanlabs/social-preview-meta-checker.md
- **Developed by:** [TanLabs](https://apify.com/tanlabs) (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

$4.00 / 1,000 page checkeds

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Social Preview & Meta Tag Checker (Open Graph, X Card, SEO)

See how your links will look when someone shares them on **X (Twitter), LinkedIn, Facebook, Slack, Discord, WhatsApp or Telegram**, for hundreds of URLs at once.

### What it checks

- **Open Graph**: og:title, og:description, og:image, og:url, og:type, og:site_name
- **X / Twitter Card**: twitter:card, title, description, image, site
- **Preview image**: downloads og:image, checks it loads (HTTP status), measures width x height and file size, flags small, oversized or badly cropped images (1200x630 is the safe size)
- **SEO basics**: title and meta description length, canonical, favicon, apple-touch-icon, viewport, html lang, hreflang, h1 count, noindex

### What you get

One row per URL with a **0-100 score**, an A-F grade, prioritized issues (high / medium / low) and **copy-paste meta tags** you can drop into your `<head>`.

| url | score | grade | ogImage | topIssues |
|---|---|---|---|---|
| https://example.com | 31 | F | none | No og:image..., Missing ogTitle, Missing metaDescription |
| https://github.com | 94 | A | 1200x630 | title is long (70 chars)... |

### Use cases

- QA every landing page before a launch or ad campaign
- Agencies: audit a client's whole sitemap in one run
- Check blog posts so they get rich previews on X and LinkedIn
- Monitor previews after a CMS or theme change (schedule it)

### Pricing

Pay per event: **$0.004 per URL checked**. 1,000 pages cost $4. No subscription.

### Input

```json
{"urls": ["https://apify.com/", "https://yourshop.com/products/x"], "checkImage": true}
```

### More from TanLabs

- [AI Search Readiness Audit (GEO/AEO) + llms.txt generator](https://apify.com/tanlabs/ai-search-readiness-audit)
- [App Store Review Insights](https://apify.com/tanlabs/app-store-review-insights)
- [App Store Top Charts & Rank Tracker](https://apify.com/tanlabs/app-store-top-charts)

# Actor input Schema

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

Pages to check (home page, landing pages, blog posts, product pages). One row and one charge per URL.

## `checkImage` (type: `boolean`):

Fetch each og:image to verify it loads and measure its size in pixels and bytes.

## `maxUrls` (type: `integer`):

Safety cap on how many URLs are processed.

## Actor input object example

```json
{
  "urls": [
    "https://apify.com/",
    "https://tanlabs.gumroad.com/"
  ],
  "checkImage": true,
  "maxUrls": 1000
}
```

# Actor output Schema

## `overview` (type: `string`):

Score, preview image and top fixes.

## `details` (type: `string`):

All tags, issues and suggested tags.

# 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://tanlabs.gumroad.com/"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("tanlabs/social-preview-meta-checker").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://tanlabs.gumroad.com/",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("tanlabs/social-preview-meta-checker").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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://tanlabs.gumroad.com/"
  ]
}' |
apify call tanlabs/social-preview-meta-checker --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,tanlabs/social-preview-meta-checker"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Sa0i6KNPFPXzhy9IU/builds/tOatWgcl41HY5wwux/openapi.json