• STATUS
  • ERRORS
  • SUCCESS
  • HUMAN

How to monitor scraping job status with your AI

Connect Apify to your AI client to watch your data collection in real time. You stop digging through dashboards and start asking questions about your runs.

Ask AI about this page

Short answer

How do I track my Apify scraping runs with AI?

Your AI pulls execution logs to show you which jobs are running, which finished, and which failed. You get a clear view of your scraping health through simple chat commands.

Where your data lands.

Status outcomes.

The AI organizes your Apify activity into these specific categories.

STATUS

Live run tracking

The AI checks recent activity to show you what is currently running or just finished.

ERRORS

Failure diagnosis

The AI identifies failed jobs and explains the error so you don't have to hunt for it.

SUCCESS

Completion checks

The AI confirms when a scraper has successfully finished its task.

HUMAN

Manual fixes

The AI flags problematic runs that require you to step in and adjust your scraper settings.

The workflow

What your AI does when <the thing arrives>.

The AI acts as your eyes on the Apify platform.

  1. Scan run history

    The AI looks through your account to find recent actor activity.

    list_actor_runs

  2. Inspect run details

    The AI pulls deep metadata for a specific execution to find errors or timestamps.

    get_run_details

  3. Identify failures

    The AI uses run data to pinpoint exactly why a specific job stopped working.

    get_run_details

  4. Summarize progress

    The AI reviews the list of recent runs to give you a high-level health report.

    list_actor_runs

Try it

Copy these to start.

Use these prompts to check your scraping progress.

Starting points

Replace the actor names or run IDs with your actual Apify details.

Apify Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_XpiRRgIukBoSRPKSbj93XBldWyxkE1Ba9k2he2x5/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Apify capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "apify-extended-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_XpiRRgIukBoSRPKSbj93XBldWyxkE1Ba9k2he2x5/mcp"
    }
  }
}
Copy into chat04

  • Show me the status of my last three Apify actor runs.

  • Did my web scraper actor finish successfully?

  • Check the details for run ID 12345 and tell me why it failed.

  • List all failed runs from my Apify account from the last hour.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Apify once, then ask.

Link your Apify account through Vinkius. Your credentials stay encrypted, and you can immediately start asking your agent about your scraping jobs.

Connect Apify to your AI

FAQ

How this task behaves.

  • 01

    Can the AI start a new scraping job?

    No. This MCP only reads existing run data; it cannot trigger or start new actor runs.

  • 02

    Can the AI fix a failed scraper?

    No. The AI can tell you why a run failed, but you must manually fix the actor settings in Apify.

  • 03

    Does the AI see my scraped data?

    No. The AI only accesses the execution logs and run metadata, not the actual data files collected by the scraper.

  • 04

    Can I ask about specific run IDs?

    Yes. You can provide a specific run ID for the AI to inspect using the available tools.

  • 05

    Can the AI delete old runs?

    No. The AI has no capability to delete or modify any data or runs in your Apify account.

  • More questions about Apify? The Connector page answers them. See everything the Apify Connector can do

Connect Apify to Claude, Cursor, ChatGPT & more