Apify Connector for AI agents.
7 live capabilities
Manage cloud web scraping and data extraction workflows.
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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.
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
- Real-world use case 01
Audit a failing scraper
A data engineer notices a scraper is stalling.
- Real-world use case 02
Quick data extraction
A growth lead needs the latest competitor prices.
- 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.
01—04
4 capabilities in this set.
Part of 7 available through Apify.
- 01 Capability
List actor runs
List recent actor executions
- 02 Capability
List actor tasks
List configured actor tasks
- 03 Capability
Get dataset results
Get items from a dataset
- 04 Capability
Get run details
Get details for a specific run
05—07
3 capabilities in this set.
Part of 7 available through Apify.
- 05 Capability
Run actor
Trigger an actor run
- 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.
- 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 previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_pvv6MX9ZP8hnkCba86SJURXFBwAhkV4b6QXmWdj1/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Apify, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Apify for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_pvv6MX9ZP8hnkCba86SJURXFBwAhkV4b6QXmWdj1/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Apify URL.
- Step 03
Save and start
Save the connection and enable Apify in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"apify-alternative": {
"url": "https://edge.vinkius.com/vk_preview_pvv6MX9ZP8hnkCba86SJURXFBwAhkV4b6QXmWdj1/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Apify
Open Agent mode in chat and ask: "Using Apify, help me...". 7 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"apify-alternative": {
"url": "https://edge.vinkius.com/vk_preview_pvv6MX9ZP8hnkCba86SJURXFBwAhkV4b6QXmWdj1/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Apify
Ask Copilot: "Using Apify, help me...". 7 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"apify-alternative": {
"url": "https://edge.vinkius.com/vk_preview_pvv6MX9ZP8hnkCba86SJURXFBwAhkV4b6QXmWdj1/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Apify
Open Cascade and ask: "Using Apify, help me...". 7 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"apify-alternative": {
"url": "https://edge.vinkius.com/vk_preview_pvv6MX9ZP8hnkCba86SJURXFBwAhkV4b6QXmWdj1/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Apify
Ask Cline: "Using Apify, help me...". 7 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add apify-alternative --transport http "https://edge.vinkius.com/vk_preview_pvv6MX9ZP8hnkCba86SJURXFBwAhkV4b6QXmWdj1/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Apify
Ask Claude: "Using Apify, show me...". 7 tools are ready
Where the request belongs
Work Apify can move forward.
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.
Data Engineer
Audits actor runs and pulls dataset items into a workflow without manual exports.
Growth Lead
Checks scraping outputs and competitor pricing data instantly to make quick marketing moves.
Operations Manager
Verifies that all webhooks and schedules are correctly configured and triggering on time.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsApify
Run web scraping actors, collect structured data, and manage storage datasets for large-scale data extraction projects.
Browse AI
Automate web scraping with Browse AI. run extraction robots, monitor page changes, and retrieve bulk data directly from any AI agent.
Grepsr
Automate web scraping via Grepsr. manage reports, trigger crawls, and retrieve data directly via AI.
Olostep
Scrape web pages at scale with a headless browser API that renders JavaScript and returns clean structured data instantly.
ParseHub
Control advanced cloud scraping projects via ParseHub. list targets, dispatch headless runs, trace crawler status, and fetch extracted datasets directly via AI.
Nimbleway
Web data collection and scraping via Nimbleway. extract content and search the web directly from your AI agent.
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 -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
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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