Automated Web Browsing & Extraction with Airtop and AI-Prompted Queries
Go to WorkflowDescription
This workflow contains community nodes that are only compatible with the self-hosted version of n8n.
π€ Autonomous Web Interaction with Airtop (via MCP Trigger)
This workflow uses Airtop to perform fully automated web interactionsβtriggered by an AI agent through the native MCP Server Trigger in n8n.
> π‘ Perfect for browser automation, intelligent data extraction, and agent-based workflows.
β¨ Features
β
Triggered via native MCP Server (no need for external LangChain services)
π Automates full browser sessions: open window, load page, scroll, click, fill forms
π§ Supports AI-prompt-based extraction from web content
π· Captures screenshots and waits for downloads when needed
π§Ό Cleans up with session and window termination
π Fully adaptable to agent-based automation flows
π§° Workflow Breakdown
Trigger: Native MCP Server Trigger receives instructions
Create Session & Window: Starts browser automation in Airtop
Load Web Page: Loads target URL
Page Interaction:
Click elements
Scroll inside containers
Fill forms with dynamic data
Extract Content:
Query using prompts
Paginated extraction
Wait & Capture:
Waits for downloadable content
Takes a screenshot
Cleanup:
Closes windows and terminates session
π¦ Requirements
β
n8n 1.90+ with MCP Server Trigger
β
Active Airtop account with API credentials
β
Installed Airtop Tool node (n8n-nodes-base)
π§ External agent (optional) to send prompt/data to MCP endpoint
π Use Cases
π€ Agents that browse and extract data from the web
π Fill and submit forms from structured data
π Intelligent page querying using prompt-based automation
π§ͺ Visual testing and screenshot capturing for QA workflows
π§ Nodes Used
MCP Server Trigger (native)
Airtop Tool(native):
Session creation and termination
Window control (open, close, screenshot)
Interaction (click, scroll, fill)
Extraction (query, pagination)
Download waiters
π§ AI-Automation Ready
This workflow is designed to be controlled by external AI agents or orchestration tools. Combined with prompt-based querying and DOM control, it brings a human-like browsing experience into automated pipelines.
π License
Open-source under MIT. Commercial usage allowed with attribution.
Let me know if you'd like to add:
π§ͺ A test mcp client to validate triggers
π A public link to the deployed workflow
π A JSON download for users to import directly