# Open Graph Social Preview Auditor (`glowing_glove/open-graph-social-preview-auditor`) Actor

Audit URLs for Open Graph, Twitter Card, canonical, image, and share-preview gaps that hurt social and SEO campaigns.

- **URL**: https://apify.com/glowing\_glove/open-graph-social-preview-auditor.md
- **Developed by:** [Ushba Khan](https://apify.com/glowing_glove) (community)
- **Categories:** SEO tools, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $20.00 / 1,000 audited pages

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

## Open Graph Social Preview Auditor

Open Graph Social Preview Auditor checks whether important pages are ready to be shared on LinkedIn, Facebook, Slack, X, Discord, and other social or messaging platforms.

The actor focuses on fields that affect campaign performance: page title, canonical URL, Open Graph tags, Twitter Card tags, preview image, missing tags, and practical fixes.

### Business Use Cases

- Audit landing pages before a launch.
- Find missing social preview images across a website.
- QA blog posts, product pages, and campaign pages.
- Monitor client pages for metadata regressions.
- Build SEO and social-readiness reports.

### Input

```json
{
  "urls": ["https://apify.com", "https://example.com"],
  "checkImages": true
}
```

### Output You Get

- `url`
- `pageTitle`
- `canonicalUrl`
- `ogCompletenessScore`
- `twitterCard`
- `previewImageUrl`
- `missingTags`
- `previewWarnings`
- `recommendedFixes`

### How It Works

The actor fetches each page, parses HTML metadata, checks Open Graph and Twitter Card coverage, optionally checks preview image reachability, and returns a clean readiness score.

### Practical Workflow

Run it for launch URLs, sort by `ogCompletenessScore`, and fix pages with missing title, description, URL, image, or card metadata.

### Notes

The actor reads public HTML. It does not render private dashboards or bypass login-gated preview systems. JavaScript-only metadata may not appear unless it is present in the HTML response.

# Actor input Schema

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

URLs

## `checkImages` (type: `boolean`):

Check image URLs

## `requestTimeoutSecs` (type: `integer`):

Request timeout

## Actor input object example

```json
{
  "urls": [
    "https://apify.com",
    "https://example.com"
  ],
  "checkImages": true,
  "requestTimeoutSecs": 25
}
```

# Actor output Schema

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

No description

## `summary` (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 = {
    "urls": [
        "https://apify.com",
        "https://example.com"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("glowing_glove/open-graph-social-preview-auditor").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://example.com",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("glowing_glove/open-graph-social-preview-auditor").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://example.com"
  ]
}' |
apify call glowing_glove/open-graph-social-preview-auditor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,glowing_glove/open-graph-social-preview-auditor"
        }
    }
}

```

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/ZbggD5kLuaenjOCWZ/builds/QZa4Re7U5abjsSbGR/openapi.json