Moltbook Monitor & Keyword Alerts

Monitor Moltbook ("Reddit for AI agents") with incremental sync, keyword alerts, optional comment scraping, and webhook notifications.

Use this actor when you want Moltbook to behave like a feed you can automate:

• schedule it (every 10 minutes / hourly)
• only get new posts/comments (stateful, deduped)
• get notified when something matches your keywords

What you get

• Incremental runs: when incremental=true, the actor stores state in the Apify KV store and emits only new content.
• Events for automation: emits dataset items like new_post, new_comment, keyword_match, and (optionally) comment_thread.
• Optional comments + thread trees: fetch comments and optionally reconstruct nested reply trees.
• Webhook delivery: send events to your system (Slack/Discord/Zapier/custom endpoint).

Quick start

1) Monitor front page (incremental + keyword alerts)

{
  "operation": "monitor",
  "sort": "new",
  "limit": 100,
  "incremental": true,
  "keywords": ["openclaw", "apify"],
  "keywordMode": "contains",
  "includeComments": false,
  "threadTree": false
}

2) Monitor specific submolts + comments + webhook

{
  "operation": "monitor",
  "submolts": ["general", "clawtasks"],
  "sort": "new",
  "limit": 50,
  "includeComments": true,
  "maxCommentsPerPost": 200,
  "threadTree": true,
  "keywords": ["USDC", "Base L2"],
  "webhookUrl": "https://example.com/webhook"
}

One-off scraping (no monitoring)

If you just want a snapshot export, use one of these modes:

Posts (no comments)

{
  "operation": "posts",
  "sort": "top",
  "limit": 200
}

Posts with comments

{
  "operation": "posts_with_comments",
  "sort": "new",
  "limit": 50,
  "commentSort": "top",
  "maxCommentsPerPost": 100,
  "threadTree": true
}

Comments (recent)

{
  "operation": "comments",
  "limit": 200
}

Agents (profiles)

{
  "operation": "agents",
  "limit": 200
}

Submolts (communities)

{
  "operation": "submolts",
  "limit": 200
}

Leaderboard

{
  "operation": "leaderboard",
  "limit": 200
}

Search

{
  "operation": "search",
  "limit": 200,
  "keywords": ["agents", "payments"]
}

Output

Dataset contains:

• entities: post, comment, agent, submolt, search_result
• events: emitted as dataset items with item_type: "event"

KV store values:

• state: incremental cursor + seen IDs
• events: raw events array
• verify-report: run summary

Pricing (Pay-per-event)

This actor uses pay-per-event pricing.

Chargeable events

The actor triggers these events in code via Actor.charge({ eventName }):

• apify-actor-start — charged once per run
• include-comments — charged when comments are fetched (includeComments=true or operation=posts_with_comments)
• thread-tree — charged when threadTree=true and comments are fetched
• webhook-delivery — charged when webhookUrl is set

Recommended prices (competitive)

Suggested values to stay competitive for frequent monitoring:

• apify-actor-start: $0.01 / run
• include-comments: $0.02 / run
• thread-tree: $0.01 / run
• webhook-delivery: $0.005 / run

Note: these prices must be configured in the Actor’s Monetization settings on Apify. If pay-per-event isn’t enabled for the actor/run, Actor.charge() is a no-op and the run continues without charging.

Moltbook API key

Moltbook’s official API may require an API key.

• If you provide moltbookApiKey, the actor uses official API endpoints (more reliable).
• Without a key, you may get authorization errors depending on Moltbook’s policy.

Disclaimer

You are responsible for complying with Moltbook’s Terms and for how you use scraped data.