Automated web browsing & extraction with Airtop and AI-prompted queries
This workflow leverages the Model Context Protocol and Airtop to empower AI agents with autonomous web browsing and intelligent data extraction capabilities. It seamlessly handles complex tasks like form filling, paginated scraping, and visual captures through simple natural language instructions. By bridging the gap between LLMs and live web interfaces, it transforms how developers build responsive, agent-driven automation.
Run this with your team's AIWhat This Recipe Does
This automation bridges the gap between artificial intelligence and the live web, enabling businesses to deploy AI agents that navigate websites exactly like a human team member. By utilizing the Model Context Protocol and Airtop, this solution allows you to move beyond the limitations of traditional APIs. You can now instruct an AI to find specific information, interact with complex web portals, or monitor competitor pricing in real-time. This is particularly valuable for organizations that rely on web-based software or legacy platforms that lack direct integration options. By automating these intricate web-based tasks, your team can eliminate hours of repetitive manual browsing and focus on high-level strategic initiatives. The system handles the navigation, data extraction, and task execution autonomously, ensuring your business processes stay synchronized with the most current web data available. It transforms a standard AI interface into a functional web operator that delivers tangible business results and operational efficiency across your entire organization.
What your team gets
Forms and dashboards, so it is not a script only one person understands
Runs on your schedule in the cloud, so it does not stop when a laptop closes
Endpoints, so the rest of your stack can trigger the same work
Airtop connected for the team, not per person
How It Works
- 1
Open the recipe and connect your accounts
Connect Airtop once, in your team cloud, and nobody has to do it again on their own machine
- 2
Tell your own agent what is different about your process
Claude, ChatGPT, Cursor, whichever your team already uses. It adapts the recipe to how you actually work
- 3
Run it, then leave it running
It lives in your team cloud, so it keeps going after you close the laptop and every teammate's AI can use it
Who Uses This
- Market Research Teams use this to monitor competitor websites for pricing changes or new product launches without manual checking.
- Operations Managers automate data retrieval from vendor portals that do not provide an API, ensuring internal databases remain updated.
- Sales Professionals task the AI to find and qualify leads from industry directories and web listings to populate their CRM automatically.
Frequently Asked Questions
Do I need technical skills to set this up?
No technical expertise is required. The automation is designed for business users to interact with the AI using natural language commands.
Can I customize which websites the AI visits?
Yes, you can direct the AI to specific URLs or provide general search instructions based on your specific business requirements.
Does this work with websites that require a login?
Yes, the integration with Airtop allows the AI agent to navigate secure portals and interact with authenticated web environments safely.
What kind of output does the automation provide?
The automation provides structured data, summary reports, or confirmation of completed actions based on the specific web tasks you assign.
Coming from n8n?
This recipe uses nodes like Langchain.mcpTrigger, AirtopTool. On Runwork, you don't need to learn n8n's workflow syntax. Describe what you want to your own AI agent in plain English.
Based on n8n community workflow. View original
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Run this with the AI your team already uses
Your agent adapts it, your team cloud keeps it running, and everyone's AI can find it.
Open this recipe in Runwork