Airtop – Intelligent Browser for AI Agent Automation

TL;DR

TL;DR: Airtop runs cloud-hosted AI agents that control a real browser to automate web workflows — prospecting, outreach, social media, and lead generation — without writing code.

Source and Accuracy Notes

⚠️ This section is MANDATORY. All links must be verified from actual source, not guessed.

• Project page: airtop.ai
• Documentation: docs.airtop.ai
• Pricing page: airtop.ai/pricing
• HN launch thread: news.ycombinator.com/item?id=42077796

What Is Airtop?

Airtop is a cloud platform for building and deploying AI agents that automate web-based workflows. Unlike traditional RPA tools that rely on DOM selectors or screenshots, Airtop agents control a real browser — the same Chromium engine a human would use — under the hood. This means they work with any website that works in a browser, including ones that render client-side, use anti-bot detection, or require JavaScript execution.

The flagship agent is named Mark. You describe what you want Mark to do in plain English — “check LinkedIn daily for new job postings matching my criteria and save them to a Google Sheet” — and Mark runs it continuously in the cloud, monitoring results and refining its approach over time.

Key capabilities:

• Browser-based automation — agents drive a real Chromium instance, not a headless HTTP client
• Pre-built integrations — connects to LinkedIn, Google Sheets, email, and other common SaaS tools out of the box
• Workflow builder — no-code conversation interface; describe tasks in natural language
• Scheduling and monitoring — agents run on a schedule or continuously, with a live dashboard showing activity logs
• Bot detection avoidance — built-in fingerprint management to reduce blocking by anti-bot systems
• API access — trigger agent runs via webhook (POST /api/hooks/agents/{agentId}/webhooks/{webhookId}) and poll results (GET /api/hooks/agents/{agentId}/invocations/{invocationId}/result)
• No-code integrations — native connections to n8n, Zapier, and Make for codeless workflow chaining

Setup Workflow

Step 1: Create an account

Sign up at airtop.ai. The free tier includes 1,000 credits per month, 1 deployed agent, and 3 simultaneous sessions.

Step 2: Define your first agent

Log in to the Airtop portal and create a new agent. You describe its role and goals in plain text. For example:

You are Mark, a sales prospecting agent. Every morning, search LinkedIn for
companies that recently raised Series A funding in the AI space. For each
company, find the head of sales on LinkedIn and send them a personalized
outreach message via LinkedIn DM. Log all activity to a Google Sheet.

Airtop’s conversation interface lets you refine the agent’s behavior iteratively before deploying.

Step 3: Connect integrations

Link the services your agent needs (LinkedIn, Google Sheets, email) through Airtop’s OAuth-based connection manager. Each connection is stored securely and reused across agents.

Step 4: Deploy and monitor

Switch the agent from draft to deployed. The Airtop dashboard shows live invocation logs, credit usage, and error traces. You can interrupt a running agent and re-prompt it mid-execution.

Step 5: Trigger via API (optional)

If you prefer programmatic control, use the webhook trigger endpoint:

# Trigger an agent run
curl -X POST https://api.airtop.ai/api/hooks/agents/{agentId}/webhooks/{webhookId} \
  -H "Content-Type: application/json" \
  -d '{"configVariables": {"target_company": "Acme Corp"}, "callbackUrl": "https://your-app.com/webhook"}'

# Poll for result
curl https://api.airtop.ai/api/hooks/agents/{agentId}/invocations/{invocationId}/result \
  -H "Authorization: Bearer YOUR_API_KEY"

Deeper Analysis

Why browser-based automation matters

Most AI agents for web tasks rely on direct API calls or scraping frameworks that break when a site uses heavy JavaScript rendering, CAPTCHAs, or behavioral detection. Airtop sidesteps this by running a real browser. The trade-off is cost and speed — a browser session uses more resources than an HTTP request, and page loads take seconds rather than milliseconds.

Pricing

Airtop uses a credit-based model. From the pricing page (checked July 2026):

• Free: 1,000 credits/month, 1 agent, 3 simultaneous sessions
• Starter: $26/month, 30,000 credits/month, additional features

Credits are consumed per action (page load, DM sent, API call). Overages and add-on packs are available. A 10% bonus is applied for prepaid annual plans.

Bot detection

Airtop explicitly markets bot detection avoidance as a feature, which is notable — many automation platforms treat this as an implementation detail or a grey area. The docs include a dedicated guide on configuring fingerprint settings per agent.

Integration ecosystem

Native integrations (n8n, Zapier, Make) cover most common automation needs without custom code. For more custom flows, the webhook API provides full control.

Practical Evaluation Checklist

• Does the agent successfully complete a multi-step browser workflow without manual intervention?
• How does credit consumption scale with workflow complexity?
• Is the bot detection avoidance effective on target sites?
• Does the integration with LinkedIn hold up under LinkedIn’s anti-automation policies?

Security Notes

• Credentials for connected services (LinkedIn, Google) are stored via OAuth and not exposed to the agent logic in plaintext
• Agent definitions and logs are stored on Airtop’s infrastructure — review your organization’s data retention requirements before connecting production business accounts
• The webhook API requires an API key; treat it as a secrets and rotate regularly

FAQ

Q: Does Airtop work with two-factor authentication on connected accounts? A: For services that support OAuth, 2FA is handled during the initial connection flow. For accounts that require 2FA on every session (e.g., some bank logins), Airtop may not be suitable.

Q: Can I run Airtop agents on my own infrastructure? A: No — Airtop is a fully managed cloud service. There is no self-hosted option documented in the public docs as of July 2026.

Q: How does Airtop compare to tools like Browserbase or Stealth?

A: Browserbase provides infrastructure for running headless browsers but leaves the automation logic to you. Airtop layers an AI agent brain on top of the browser, so you describe goals rather than writing browser scripts. Stealth is a similar concept but focused on consumer-facing personal agents.

Conclusion

Airtop sits at the intersection of AI agents and browser automation — a space that is genuinely underserved by no-code tools. The ability to describe a multi-step web workflow in plain English and have a cloud agent execute it continuously is compelling for sales, marketing, and ops teams that need automation but lack engineering resources. The credit-based pricing makes experimentation low-risk, though heavy production usage will require the paid tiers.

If you need agents that can interact with any website a human can, Airtop is worth evaluating. The integration ecosystem (n8n, Zapier, Make) means it slots into existing automation stacks without custom development.