# FAA Airworthiness Directives + NASA ASRS Safety API (`nexgendata/faa-airworthiness-directives-nasa-asrs-aviation-safety`) Actor Joined feed of FAA Airworthiness Directives (Federal Register / DRS) and NASA ASRS aviation-safety reports per aircraft make + model. Severity-tagged, Emergency-AD flagged. For aviation insurance underwriters, aircraft buyers/sellers, safety analysts, plaintiff counsel, fleet management. - **URL**: https://apify.com/nexgendata/faa-airworthiness-directives-nasa-asrs-aviation-safety.md - **Developed by:** [NexGenData](https://apify.com/nexgendata) (community) - **Categories:** Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $150.00 / 1,000 aviation safety records This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## FAA Airworthiness Directives + NASA ASRS Safety API FAA airworthiness directives and NASA ASRS aviation-safety public records โ€” directives, aircraft and safety reports. > Public product-safety records โ€” for monitoring, not a safety determination. ### โฐ Run this as a monitoring subscription (recommended) Regulatory data is monitoring data. Schedule a weekly sweep (`0 8 * * 1`) and catch new records as they post โ€” an always-on official-records feed. ### ๐Ÿ“Š What you get Clean JSON, one record per record (full output has 8 fields): - `record_type` โ€” Record type - `ad_number` โ€” Ad number - `subject` โ€” Subject - `manufacturer` โ€” Manufacturer - `model` โ€” Model - `effective_date` โ€” Effective date - `summary` โ€” Summary - `source_url` โ€” Source url **Pricing:** Pay-Per-Event; see the Pricing tab. ### ๐Ÿค– Use with AI agents Point Claude, the OpenAI Agents SDK, an n8n flow or any MCP-aware client at it and pull official records on demand. **Agentic payments (x402):** Supports agentic payment via x402 โ€” agents can call this actor with USDC, no API key required. ### ๐Ÿ”— Related regulatory actors **Regulatory & enforcement records:** [US Legislation](https://apify.com/nexgendata/us-legislation-bill-tracker) ยท [UK FCA Notices](https://apify.com/nexgendata/uk-fca-enforcement-tracker) ยท [UK FCA Register](https://apify.com/nexgendata/uk-fca-enforcement-register) ยท [EPA ECHO](https://apify.com/nexgendata/epa-echo-enforcement-scraper) ยท [EPA TRI](https://apify.com/nexgendata/epa-tri-toxic-release-facilities) ยท [FEMA NFIP](https://apify.com/nexgendata/openfema-nfip-flood-claims) ยท [CFPB Complaints](https://apify.com/nexgendata/cfpb-consumer-complaints-scraper) ยท [CFPB HMDA](https://apify.com/nexgendata/cfpb-hmda-mortgage-lender-disparity-tracker) **Related:** [SAM.gov Exclusions](https://apify.com/nexgendata/sam-gov-federal-contractor-exclusions) *This actor is currently private โ€” treated and ready for review.* --- *Public official records and enforcement data, assembled for research and monitoring.* # Actor input Schema ## `aircraft_make` (type: `string`): Aircraft manufacturer name to search Airworthiness Directives and ASRS reports for. Federal Register indexes by the manufacturer's legal name as it appears in AD titles. Examples: `Boeing`, `Airbus`, `Bombardier`, `Cessna`, `Embraer`, `Gulfstream`, `Sikorsky`, `Robinson`. Leave blank to default to Boeing. Case-insensitive; FAA stores both `The Boeing Company` and `Boeing` โ€” substring match handles both. ## `aircraft_model` (type: `string`): Aircraft model designation. Examples for Boeing: `737`, `747`, `757`, `767`, `777`, `787`, `737 MAX`. Airbus: `A320`, `A330`, `A350`, `A380`. Note that ADs commonly cover model families (e.g., AD for Boeing 737-700, -800, -900 is captured by searching `737`). The search is a substring match on the AD title and abstract. ## `directive_type` (type: `string`): Which records to include. `emergency_ad` = Emergency Airworthiness Directives only (urgent flight-safety actions, shortened comment periods). `ad` = standard Airworthiness Directives only. `asrs_report` = NASA Aviation Safety Reporting System voluntary safety reports only (subject to ASRS query-interface limitations โ€” see README). `all` = include both ADs and ASRS reports. ## `months_back` (type: `integer`): How many months back from today to include AD publication dates and ASRS report dates. Default 24 months (2-year compliance window โ€” typical aviation-insurance underwriting horizon). For class-action discovery on older incidents, set to 60-120 months. ## `severity` (type: `string`): Filter by inferred severity. `high` = Emergency ADs + ADs mentioning fatality/crash/inflight failure/fire/explosion/uncontained engine failure. `medium` = ADs mentioning inspection/corrective action/airworthiness limitation. `low` = ADs mentioning labeling/documentation/minor non-compliance. `all` = no severity filter. Classification is regex-based on the AD action + abstract. ## `max_records` (type: `integer`): Hard cap on records pushed to the dataset (and metered for the per-record billing event). Records are returned newest-first by publication date / report date. Each AD or ASRS record is billed at the per-event proposed price. Default 50 = a typical aviation-compliance scan batch. ## Actor input object example ```json { "aircraft_make": "Boeing", "aircraft_model": "737", "directive_type": "all", "months_back": 24, "severity": "all", "max_records": 50 } ```` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "aircraft_make": "Boeing", "aircraft_model": "737", "directive_type": "all", "months_back": 24, "severity": "all", "max_records": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("nexgendata/faa-airworthiness-directives-nasa-asrs-aviation-safety").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "aircraft_make": "Boeing", "aircraft_model": "737", "directive_type": "all", "months_back": 24, "severity": "all", "max_records": 50, } # Run the Actor and wait for it to finish run = client.actor("nexgendata/faa-airworthiness-directives-nasa-asrs-aviation-safety").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "aircraft_make": "Boeing", "aircraft_model": "737", "directive_type": "all", "months_back": 24, "severity": "all", "max_records": 50 }' | apify call nexgendata/faa-airworthiness-directives-nasa-asrs-aviation-safety --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nexgendata/faa-airworthiness-directives-nasa-asrs-aviation-safety", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "FAA Airworthiness Directives + NASA ASRS Safety API", "description": "Joined feed of FAA Airworthiness Directives (Federal Register / DRS) and NASA ASRS aviation-safety reports per aircraft make + model. Severity-tagged, Emergency-AD flagged. For aviation insurance underwriters, aircraft buyers/sellers, safety analysts, plaintiff counsel, fleet management.", "version": "0.0", "x-build-id": "9rO6rI8hpCegd1b59" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgendata~faa-airworthiness-directives-nasa-asrs-aviation-safety/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgendata-faa-airworthiness-directives-nasa-asrs-aviation-safety", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nexgendata~faa-airworthiness-directives-nasa-asrs-aviation-safety/runs": { "post": { "operationId": "runs-sync-nexgendata-faa-airworthiness-directives-nasa-asrs-aviation-safety", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nexgendata~faa-airworthiness-directives-nasa-asrs-aviation-safety/run-sync": { "post": { "operationId": "run-sync-nexgendata-faa-airworthiness-directives-nasa-asrs-aviation-safety", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "aircraft_make": { "title": "Aircraft make", "type": "string", "description": "Aircraft manufacturer name to search Airworthiness Directives and ASRS reports for. Federal Register indexes by the manufacturer's legal name as it appears in AD titles. Examples: `Boeing`, `Airbus`, `Bombardier`, `Cessna`, `Embraer`, `Gulfstream`, `Sikorsky`, `Robinson`. Leave blank to default to Boeing. Case-insensitive; FAA stores both `The Boeing Company` and `Boeing` โ€” substring match handles both.", "default": "Boeing" }, "aircraft_model": { "title": "Aircraft model", "type": "string", "description": "Aircraft model designation. Examples for Boeing: `737`, `747`, `757`, `767`, `777`, `787`, `737 MAX`. Airbus: `A320`, `A330`, `A350`, `A380`. Note that ADs commonly cover model families (e.g., AD for Boeing 737-700, -800, -900 is captured by searching `737`). The search is a substring match on the AD title and abstract.", "default": "737" }, "directive_type": { "title": "Directive / record type", "enum": [ "emergency_ad", "ad", "asrs_report", "all" ], "type": "string", "description": "Which records to include. `emergency_ad` = Emergency Airworthiness Directives only (urgent flight-safety actions, shortened comment periods). `ad` = standard Airworthiness Directives only. `asrs_report` = NASA Aviation Safety Reporting System voluntary safety reports only (subject to ASRS query-interface limitations โ€” see README). `all` = include both ADs and ASRS reports.", "default": "all" }, "months_back": { "title": "Months back to search", "minimum": 1, "maximum": 120, "type": "integer", "description": "How many months back from today to include AD publication dates and ASRS report dates. Default 24 months (2-year compliance window โ€” typical aviation-insurance underwriting horizon). For class-action discovery on older incidents, set to 60-120 months.", "default": 24 }, "severity": { "title": "Severity filter", "enum": [ "high", "medium", "low", "all" ], "type": "string", "description": "Filter by inferred severity. `high` = Emergency ADs + ADs mentioning fatality/crash/inflight failure/fire/explosion/uncontained engine failure. `medium` = ADs mentioning inspection/corrective action/airworthiness limitation. `low` = ADs mentioning labeling/documentation/minor non-compliance. `all` = no severity filter. Classification is regex-based on the AD action + abstract.", "default": "all" }, "max_records": { "title": "Maximum records to return", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Hard cap on records pushed to the dataset (and metered for the per-record billing event). Records are returned newest-first by publication date / report date. Each AD or ASRS record is billed at the per-event proposed price. Default 50 = a typical aviation-compliance scan batch.", "default": 50 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```