Automated Web Browsing & Extraction with Airtop and AI-Prompted Queries
This workflow contains community nodes that are only compatible with the self-hosted version of n8n.
🤖 Autonomous Web Interaction with Airtop (via MCP Trigger)
This workflow uses Airtop to perform fully automated web interactions—triggered by an AI agent through the native MCP Server Trigger in n8n.
> 💡 Perfect for browser automation, intelligent data extraction, and agent-based workflows.
✨ Features
✅ Triggered via native MCP Server (no need for external LangChain services) 🚀 Automates full browser sessions: open window, load page, scroll, click, fill forms 🧠 Supports AI-prompt-based extraction from web content 📷 Captures screenshots and waits for downloads when needed 🧼 Cleans up with session and window termination 🔄 Fully adaptable to agent-based automation flows
🧰 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
📦 Requirements
✅ n8n 1.90+ with MCP Server Trigger ✅ Active Airtop account with API credentials ✅ Installed Airtop Tool node (n8n-nodes-base) 🧠 External agent (optional) to send prompt/data to MCP endpoint
🔍 Use Cases
🤖 Agents that browse and extract data from the web 📝 Fill and submit forms from structured data 🔎 Intelligent page querying using prompt-based automation 🧪 Visual testing and screenshot capturing for QA workflows
🔧 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
🧠 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.
🔗 License
Open-source under MIT. Commercial usage allowed with attribution.
Let me know if you'd like to add:
🧪 A test mcp client to validate triggers 🌐 A public link to the deployed workflow 📎 A JSON download for users to import directly
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