FAA NAS Airport Status Scraper ✈️

Scrape live FAA National Airspace System airport status, ground delay programs, ground stops, and closures — clean structured fields ready as CSV, JSON, JSONL, Excel, or XML for downstream pipelines.

Copy to your AI assistant

Copy this block into ChatGPT, Claude, Cursor, or any LLM to start using this actor.

parseforge/faa-nas-airport-status-scraper on Apify. Call: ApifyClient("TOKEN").actor("parseforge/faa-nas-airport-status-scraper").call(run_input={...}), then client.dataset(run["defaultDatasetId"]).list_items().items for results. Key inputs: airports (array of US airport codes like ["SFO","EWR","ATL"], default [] returns every airport with active conditions), maxItems (integer, default 10). Full actor spec: fetch build via GET https://api.apify.com/v2/acts/parseforge~faa-nas-airport-status-scraper (Bearer TOKEN). Get token: https://console.apify.com/account/integrations

Track FAA airport delays without refreshing a dozen tabs. No code. No logins. Just pick the airport codes you care about (or leave the filter empty), press run, and get a clean list of live National Airspace System conditions you can open in Excel.

Why this helps ⚡

• See the whole airspace at once: Every airport with an active delay, program, or closure in a single table.
• Filter to your routes: Keep only the airport codes that matter to your operation.
• Read the delay in plain English: Average, minimum, and maximum delay durations spelled out.
• Ready for Excel/CRM: Download results as CSV, JSON, or Excel straight from Apify.
• Runs on a schedule: Poll the FAA feed every few minutes to catch new ground stops as they post.

Who it's for 👥

• Airline and airport operations teams tracking delays across the network
• Travel apps, dispatchers, and logistics planners routing around disruptions
• Data teams and analysts building aviation dashboards and delay histories

What you get 📦

• Airport status: Airport code, status type (ground delay program, ground stop, closure), and the stated reason
• Delay durations: Average, minimum, and maximum delay times as reported by the FAA
• Trend and direction: Whether conditions are easing or worsening, plus program name where present
• Timestamps: FAA start, end, and update times, plus the moment each record was scraped

📊 FAA airport status data fields

Each status record includes: airport, statusType, reason, avgDelay, minDelay, maxDelay, trend, direction, programName, startTime, endTime, updateTime, scrapedAt, and error. All 14 field names come from a real production run, so what you see here is what lands in your dataset.

⚠️ Good to know: you only need an Apify account; no FAA login is required. Every run pulls the live NAS status feed, so results reflect airspace conditions at run time and airports with no active delay simply do not appear. Only publicly published FAA status data is collected.

🚀 How to use

1. 📝 Sign up. Create a free account (takes 2 minutes).
2. 🎯 Set input. Configure the input fields in the form (or paste a JSON), then set maxItems.
3. 🚀 Run it. Click Start and let the Actor collect your data.
4. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

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💡 Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

For faster answers, join our Discord. It's the best place to get support and suggest new actors.