# NTSB Aviation Safety Trend & Change Monitor (`aether_studio/ntsb-aviation-safety-monitor`) Actor Normalize the latest official NTSB aviation accident update into source-backed records for safety research and risk workflows. - **URL**: https://apify.com/aether\_studio/ntsb-aviation-safety-monitor.md - **Developed by:** [AetherPromptStudio](https://apify.com/aether_studio) (community) - **Categories:** Developer tools, Automation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.50 / 1,000 results 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 ## NTSB Aviation Safety Trend & Change Monitor This Apify Actor downloads the latest incremental update from the National Transportation Safety Board's public aviation accident census, reads the MDB database, and emits normalized records suitable for safety research, monitoring, and risk-analysis workflows. This Actor does not use browser automation, proxies, or authenticated sources. It intentionally excludes crew records, owner/operator names, street addresses, and aircraft registration numbers. ### Example input ```json { "countries": ["USA"], "makes": ["Cessna"], "maxResults": 100, "includeProbableCause": false } ```` Filters are combined with AND logic. `makes` and `models` use case-insensitive substring matching; country and region codes use case-insensitive exact matching. The Actor reads only the newest incremental archive currently listed by NTSB. ### Local development ```bash npm install npm test apify run ``` ### Data provenance - Directory: https://data.ntsb.gov/avdata - NTSB accident data page: https://www.ntsb.gov/safety/data/Pages/Data\_Stats.aspx - NTSB web policies: https://www.ntsb.gov/about/Policies/Pages/Policies.aspx NTSB preliminary records can change. Consumers should use `changeKey` to detect record revisions and should preserve the provenance fields. This Actor is unofficial and is not affiliated with or endorsed by the NTSB. # Actor input Schema ## `dateFrom` (type: `string`): Inclusive ISO date, for example 2026-01-01. ## `dateTo` (type: `string`): Inclusive ISO date, for example 2026-12-31. ## `countries` (type: `array`): NTSB country codes such as USA, CA, PL. Matching is case-insensitive. ## `regions` (type: `array`): NTSB state or region codes such as CA, TX, NH, or OF. ## `makes` (type: `array`): Case-insensitive substring matches. ## `models` (type: `array`): Case-insensitive substring matches. ## `injuryLevels` (type: `array`): Any of fatal, serious, minor, none, or unknown. ## `includeProbableCause` (type: `boolean`): Include NTSB-authored probable cause text when available. ## `maxResults` (type: `integer`): Maximum number of normalized records to write to the dataset. ## Actor input object example ```json { "countries": [], "regions": [], "makes": [], "models": [], "injuryLevels": [], "includeProbableCause": false, "maxResults": 100 } ``` # Actor output Schema ## `results` (type: `string`): Source-backed records from the latest official NTSB incremental aviation dataset. ## `summary` (type: `string`): The selected source archive, its publication timestamp, and the number of records produced. # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("aether_studio/ntsb-aviation-safety-monitor").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 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); }); // 📚 Want to learn more 📖? Go to → 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 = {} # Run the Actor and wait for it to finish run = client.actor("aether_studio/ntsb-aviation-safety-monitor").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call aether_studio/ntsb-aviation-safety-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=aether_studio/ntsb-aviation-safety-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "NTSB Aviation Safety Trend & Change Monitor", "description": "Normalize the latest official NTSB aviation accident update into source-backed records for safety research and risk workflows.", "version": "0.2", "x-build-id": "BhNp2MeKeM7grap7l" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/aether_studio~ntsb-aviation-safety-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-aether_studio-ntsb-aviation-safety-monitor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/aether_studio~ntsb-aviation-safety-monitor/runs": { "post": { "operationId": "runs-sync-aether_studio-ntsb-aviation-safety-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/aether_studio~ntsb-aviation-safety-monitor/run-sync": { "post": { "operationId": "run-sync-aether_studio-ntsb-aviation-safety-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "dateFrom": { "title": "Event date from", "type": "string", "description": "Inclusive ISO date, for example 2026-01-01." }, "dateTo": { "title": "Event date to", "type": "string", "description": "Inclusive ISO date, for example 2026-12-31." }, "countries": { "title": "Country codes", "type": "array", "description": "NTSB country codes such as USA, CA, PL. Matching is case-insensitive.", "default": [], "items": { "type": "string" } }, "regions": { "title": "States or regions", "type": "array", "description": "NTSB state or region codes such as CA, TX, NH, or OF.", "default": [], "items": { "type": "string" } }, "makes": { "title": "Aircraft makes", "type": "array", "description": "Case-insensitive substring matches.", "default": [], "items": { "type": "string" } }, "models": { "title": "Aircraft models", "type": "array", "description": "Case-insensitive substring matches.", "default": [], "items": { "type": "string" } }, "injuryLevels": { "title": "Highest injury levels", "type": "array", "description": "Any of fatal, serious, minor, none, or unknown.", "default": [], "items": { "type": "string" } }, "includeProbableCause": { "title": "Include probable cause", "type": "boolean", "description": "Include NTSB-authored probable cause text when available.", "default": false }, "maxResults": { "title": "Maximum results", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of normalized records to write to the dataset.", "default": 100 } } }, "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 } } } } } } } } } } ```