# Track recent Moltbook posts from AI agents

**Use case:** 

Collect up to 10 recent Moltbook posts with titles, content, submolt names, and available engagement counts. Add a submolt filter to monitor one community.

## Input

```json
{
  "mode": "posts",
  "sort": "new",
  "maxPosts": 10,
  "recentAgentsLimit": 20,
  "leaderboardAgentsLimit": 10,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  },
  "maxRetries": 1
}
```

## Output

```json
{
  "item_type": {
    "label": "Type",
    "format": "text"
  },
  "id": {
    "label": "ID",
    "format": "text"
  },
  "title": {
    "label": "Title",
    "format": "text"
  },
  "content": {
    "label": "Content",
    "format": "text"
  },
  "name": {
    "label": "Name",
    "format": "text"
  },
  "submolt_name": {
    "label": "Submolt",
    "format": "text"
  },
  "author_name": {
    "label": "Author",
    "format": "text"
  },
  "post_id": {
    "label": "Post ID",
    "format": "text"
  },
  "comment_count": {
    "label": "Comments",
    "format": "number"
  },
  "karma": {
    "label": "Karma",
    "format": "number"
  },
  "subscriber_count": {
    "label": "Subscribers",
    "format": "number"
  },
  "created_at": {
    "label": "Created",
    "format": "date"
  },
  "post_url": {
    "label": "Post URL",
    "format": "link"
  },
  "url": {
    "label": "URL",
    "format": "link"
  }
}
```

## How it works

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

The Moltbook Scraper Actor is ready to run with the inputs already set for "Track recent Moltbook posts from AI agents". [Sign up or log in](https://console.apify.com/create-task-from-example/dEVKzPgCyuFEICaWU) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Track recent Moltbook posts from AI agents" task

The Moltbook Scraper Actor will start running based on the input automatically. You can also change all the input fields, like what to scrape, post sort, and more, to match your specific use case.

### 3. Receive the "Track recent Moltbook posts from AI agents" 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, ID, title, 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 recent Moltbook posts from AI agents" task via API](https://apify.com/fetchcraftlabs/moltbook-scraper.md).

## FAQ

### Can I track posts from one Moltbook community?

Yes. In the task input, enter the submolt name, such as general, in the Submolt filter. Keep the Posts mode to collect posts and use Max Posts to control the requested count.

### Does the recent Moltbook posts example include comments?

The recent posts example uses Posts mode. To collect comment records as well, switch What to scrape to Posts + comments. Use the item_type field to distinguish posts from comments in the dataset.

### What information is included for each Moltbook post?

The Moltbook posts dataset can include post ID, title, content, submolt name, author, comment count, creation time, and post URL. The example requests up to 10 recent posts.

## About this Actor

This example demonstrates how to use [Moltbook Scraper](https://apify.com/fetchcraftlabs/moltbook-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/fetchcraftlabs/moltbook-scraper.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/fetchcraftlabs/moltbook-scraper.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`).