# Track Cybersecurity Article Engagement on X

**Use case:** 

Track attention to a known security publisher’s X Article announcements. Collect article titles, publication dates, author profiles, announcement posts, and likes, replies, reposts, quotes, bookmarks, and views. Change tweetUrls to collect other announcement posts; article links may not resolve without sign-in.

## Input

```json
{
  "tweetUrls": [
    "https://x.com/vxunderground/status/1979885711579865307"
  ],
  "includeArticleBody": false,
  "includeAnnouncementPost": true,
  "includeAuthorProfile": true,
  "includeCoverImage": true,
  "includePreviewText": true,
  "maxItems": 20
}
```

## Output

```json
{
  "type": {
    "label": "Type"
  },
  "title": {
    "label": "Title"
  },
  "author.username": {
    "label": "Username"
  },
  "articleId": {
    "label": "Article id"
  },
  "bodyAvailable": {
    "label": "Body available"
  },
  "sourceTweetUrl": {
    "label": "Source tweet url"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The X Article Announcement Post Metadata Collector Actor is ready to run with the inputs already set for "Track Cybersecurity Article Engagement on X". [Sign up or log in](https://console.apify.com/create-task-from-example/VXkVEMhbDPlqmUuE9) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Track Cybersecurity Article Engagement on X" task

The X Article Announcement Post Metadata Collector Actor will start running based on the input automatically. You can also change all the input fields, like article announcement posts or article links, include full article body, and more, to match your specific use case.

### 3. Receive the "Track Cybersecurity Article Engagement on X" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as type, title, username, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Track Cybersecurity Article Engagement on X" task via API](https://apify.com/dataspryva/x-article-announcement-post-metadata-collector.md).

## FAQ

### How do I track engagement on cybersecurity articles shared by vx-underground?

The cybersecurity article engagement task collects article titles, dates, author details, announcement posts and engagement counts from the post links you provide. The sample input tracks one announcement post.

### What data can I get about cybersecurity articles and their X posts?

The cybersecurity article engagement task can return article metadata and announcement post metrics such as likes, replies, reposts, quotes, bookmarks and views. Article body text is disabled in the sample input.

### Can I get the full text of an X Article with this task?

The cybersecurity article engagement task can collect full article text when article body collection is enabled and the body is available. The sample input disables article bodies, and some article links may not resolve without sign-in.

### How do I track other cybersecurity article announcements?

To use the cybersecurity article engagement task for other announcements, replace the supplied post link with the announcement post links you want to collect. Article links may not resolve without sign-in.

### Can I export the engagement data to CSV or Excel?

After running the cybersecurity article engagement task, you can download its dataset as CSV, Excel, JSON, XML, RSS or an HTML table, or read it through the Apify API.

### How much does it cost to collect 20 cybersecurity article results?

For the cybersecurity article engagement task, up to 20 results add at most $0.02 in result charges on the Free plan. Actor start charges and Apify platform compute usage are additional.

## About this Actor

This example demonstrates how to use [X Article Announcement Post Metadata Collector](https://apify.com/dataspryva/x-article-announcement-post-metadata-collector.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/dataspryva/x-article-announcement-post-metadata-collector.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/dataspryva/x-article-announcement-post-metadata-collector.md

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`).