AWS Lambda service that scrapes FAA Temporary Flight Restrictions (TFRs) and stores them in MongoDB for geo-querying.

Two Lambda functions deployed via Serverless Framework:

• scraper -- Runs every 15 minutes. Fetches the current TFR list and geometry from the FAA WFS GeoJSON endpoint, then retrieves detailed NOTAM data from the FAA NMS-API. Results are stored in MongoDB with a 2dsphere index.
• query -- GET /api/tfr?lat=...&lon=...&radialDistance=... returns TFRs within the given radius (meters).

• Node.js 24+
• Serverless Framework v3
• AWS CLI configured with credentials (aws configure)
• A MongoDB Atlas cluster
• FAA NMS-API credentials (email 7-AWA-NAIMES@faa.gov to request access)

yarn install

Create a config.prod.json in the project root (gitignored):

{
  "MONGODB_USER": "your-mongodb-user",
  "MONGODB_PASSWORD": "your-mongodb-password",
  "MONGODB_HOST": "your-cluster.mongodb.net",
  "NMS_API_HOST": "https://api-nms.aim.faa.gov",
  "NMS_API_KEY": "your-nms-api-key",
  "NMS_API_SECRET": "your-nms-api-secret"
}

For other stages, create config.<stage>.json (e.g. config.dev.json).

npx serverless deploy --stage prod

To deploy to a different stage:

npx serverless deploy --stage dev

Trigger the scraper on-demand:

npx serverless invoke --function scraper --stage prod

Test the query endpoint:

curl "https://<api-id>.execute-api.us-east-1.amazonaws.com/api/tfr?lat=38.85&lon=-77.04&radialDistance=50000"