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Vinkius

Apify Connector for AI agents.

7 live capabilities

Manage cloud web scraping and data extraction workflows.

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AI Agent

Why people use Apify

Manage Web Scraping Workflows with Apify

This Connector changes that by letting your agent act as your automation operator. You can ask it to check run statuses or pull dataset items directly into your conversation. You get a clear view of your entire automation pipeline without ever opening a browser tab.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get a real-time command center for your cloud scraping and automation workflows.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Audit a failing scraper

    A data engineer notices a scraper is stalling.

  2. Real-world use case 02

    Quick data extraction

    A growth lead needs the latest competitor prices.

  3. Real-world use case 03

    Workflow overview

    An ops manager wants to know what's running today.

Complete set · 7capabilities

The complete Apify capability set.

These are the exact actions your AI can choose when you ask it to work with Apify.

Capability set01 / 02

01—04

4 capabilities in this set.

Part of 7 available through Apify.

  1. 01 Capability

    List actor runs

    List recent actor executions

  2. 02 Capability

    List actor tasks

    List configured actor tasks

  3. 03 Capability

    Get dataset results

    Get items from a dataset

  4. 04 Capability

    Get run details

    Get details for a specific run

Capability set02 / 02

05—07

3 capabilities in this set.

Part of 7 available through Apify.

  1. 05 Capability

    Run actor

    Trigger an actor run

  2. 06 Capability

    List actors

    List every actor in your account. You can use this to get a bird's-eye view of your entire scraper fleet.

  3. 07 Capability

    List datasets

    List all your available datasets. Use this to see where your scraped data is being stored.

Set up in minutes

One URL. Then ask Apify to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Apify from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_pvv6MX9ZP8hnkCba86SJURXFBwAhkV4b6QXmWdj1/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Apify, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Apify for the conversation.

Where the request belongs

Work Apify can move forward.

Built around the request

For the data engineer who's tired of manual log auditing, the growth lead who needs scraping data fast, and the ops manager who wants to ensure every automated task is actually running.

01

Data Engineer

Audits actor runs and pulls dataset items into a workflow without manual exports.

02

Growth Lead

Checks scraping outputs and competitor pricing data instantly to make quick marketing moves.

03

Operations Manager

Verifies that all webhooks and schedules are correctly configured and triggering on time.

Bring your own AI

Change the model, client or framework. Keep Apify connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • VS Code
  • Windsurf
  • ZCode
  • Cline
  • Zed
  • Continue
  • Kiro
  • Roo Code
  • Zencoder
  • Goose
  • Void
  • Augment Code
  • Amp
  • Qodo
  • Tabnine
  • Pieces
  • Sourcegraph Cody
  • JetBrains
  • Warp
  • Amazon Q
  • Antigravity
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  • Raycast
  • Jan
  • LM Studio
  • AnythingLLM
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  • Cherry Studio
  • LibreChat
  • TypingMind
  • Chorus
  • 5ire
  • n8n
  • LangChain
  • LlamaIndex
  • CrewAI
  • Vercel AI SDK

Before you connect

Questions about Apify.

The practical details behind the request, access and result.

How can I use the Apify MCP to manage my scrapers?

You connect the Connector to your AI client and can then use natural language to list your actors, check their run history, and manage your schedules without leaving your chat.

Can I see my scraping success rates with Apify MCP?

Yes, you can ask your agent to show recent runs for any specific actor. It will pull the execution data so you can see what succeeded and what failed.

How do I get my scraped data into my agent using Apify MCP?

Your agent can pull items directly from your Apify datasets. Just tell the agent which dataset you want to see, and it will retrieve the items for you.

Does Apify MCP help with scheduling my web scraping tasks?

It allows your agent to view all your active schedules. You can use it to verify when tasks are set to trigger and keep your automation on track.

Can I check my webhooks with Apify MCP?

Yes, you can ask the agent to list your webhooks. This helps you ensure your data is being sent to the correct external endpoints.

How does Apify MCP make data engineering easier?

It removes the need for manual log auditing. You can query your actor metadata, task status, and dataset contents through a single conversation.

How do I find my Apify API Key?

Log in to your Apify Console, and you will find your API Token under the Integrations tab. Copy and paste it below.

Can the agent check the results of a scrape?

Yes. Use the get_dataset_items capability providing the Dataset ID. Your agent will retrieve the items from the cloud storage, allowing you to audit the output instantly.

Is it possible to list actor runs via the agent?

Yes. The list_runs capability allows your agent to retrieve the history of executions for any specific actor, including durations and final statuses.

Can I provide input parameters when running an actor?

Yes! Use the run_actor capability and provide the optional input JSON object to configure specific scraper settings for that run.

How do I see the items collected in a dataset?

Run the get_dataset_results query with your Dataset ID. The agent will retrieve the data records, which you can then ask the AI to summarize or analyze.

Is it possible to check the status of a specific actor run?

Absolutely. Use the get_run_details capability and provide the Run ID. Your agent will retrieve the status (RUNNING, SUCCEEDED, FAILED) and metadata for that specific execution.

One connection away

Give your agent a direct line to Apify.

Connect Apify once. Keep it beside 5,900+ managed Connectors when the next task needs more.

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