# Social Preview & Open Graph Auditor (`changetheway/linkglimpse-apify-actor`) Actor

Audit Open Graph and Twitter Card metadata, render visual previews for Facebook, X, LinkedIn, Slack, Discord, WhatsApp, and Google, validate share images, score metadata health, and return developer- and AI-ready fixes for up to 100 URLs.

- **URL**: https://apify.com/changetheway/linkglimpse-apify-actor.md
- **Developed by:** [Ivan Homola](https://apify.com/changetheway) (community)
- **Categories:** SEO tools, Developer tools, Open source
- **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

## Visual Social Preview & Open Graph Auditor

See the result instead of reading raw tags. This Actor inspects public URLs, renders a visual preview sheet, scores metadata health and returns concrete fixes that developers or AI agents can apply.

### What makes this Actor different

Metadata extraction alone does not show whether a card will look right. Each successful audit can generate a PNG contact sheet covering:

- Facebook
- X / Twitter
- LinkedIn
- Slack
- Discord
- WhatsApp
- Google search

The previews are deterministic models built from the live title, description, domain and share image. They do not use generative AI. A platform can still apply its own crop, fallback or cached value.

### Results

Every dataset row includes:

- A weighted metadata score and pass, warning and failure counts
- HTTP status and redirect information
- Resolved title, description and share image
- Canonical and robots signals
- Share-image reachability, type, size, dimensions and aspect ratio
- Open Graph and Twitter Card checks
- Platform readiness
- Concrete remediation snippets for every warning or failure
- A link to the generated PNG preview stored with the run

### Input

Provide one to 100 public URLs. Choose a preview contact sheet or one specific platform, and optionally disable preview rendering for a faster metadata-only run.

```json
{
  "urls": [
    "https://example.com/",
    "https://example.com/article"
  ],
  "renderPreviews": true,
  "previewPlatform": "all",
  "concurrency": 4
}
```

### AI agents and automation

The input and output schemas are designed for APIs, scheduled audits, no-code workflows and Apify MCP. Agents can inspect the structured checks, retrieve the PNG preview when visual reasoning is useful, and apply the returned fix plan.

### Security and privacy

The Actor processes only URLs explicitly supplied in a run. Private, local and reserved network destinations are blocked, including unsafe redirect targets. Requests have bounded timeouts, redirect counts and response sizes. No browser history, cookies or credentials are collected.

# Actor input Schema

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

One to 100 public HTTP or HTTPS page URLs.

## `renderPreviews` (type: `boolean`):

Store a deterministic PNG preview for every successful URL.

## `previewPlatform` (type: `string`):

Generate a contact sheet or one platform-specific image.

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

Number of URLs inspected simultaneously.

## Actor input object example

```json
{
  "urls": [
    "https://www.example.com/"
  ],
  "renderPreviews": true,
  "previewPlatform": "all",
  "concurrency": 4
}
```

# Actor output Schema

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

One structured diagnostic record per requested URL.

## `previewImages` (type: `string`):

PNG social and Google preview sheets generated from live metadata.

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("changetheway/linkglimpse-apify-actor").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("changetheway/linkglimpse-apify-actor").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 '{}' |
apify call changetheway/linkglimpse-apify-actor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,changetheway/linkglimpse-apify-actor"
        }
    }
}

```

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/pxRD1Sislfax9Aus4/builds/H2aAlK0z2F7rJ4Kzy/openapi.json