# NTSB Aviation Accident Investigations Scraper (`compute-edge/ntsb-aviation-scraper`) Actor Extract NTSB aviation accident and incident investigations from the official CAROL database. Filter by date, state, severity, aircraft make/model. 180,000+ historical records, plus Highway, Marine, Pipeline, Railroad, Hazmat modes. - **URL**: https://apify.com/compute-edge/ntsb-aviation-scraper.md - **Developed by:** [Compute Edge](https://apify.com/compute-edge) (community) - **Categories:** Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 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.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.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/platform/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 Accident & Incident Scraper (CAROL) Extract structured records from the **NTSB CAROL Investigation Database** — the U.S. National Transportation Safety Board's authoritative archive of investigated transportation accidents and incidents. With ~180,000 historical records covering aviation, highway, marine, pipeline, railroad, and hazardous materials, CAROL is the canonical safety-investigation dataset for the United States. This Actor wraps CAROL's internal search API and returns clean, filterable JSON. Defaults pull aviation events (the largest mode), but every other NTSB mode is selectable. ### Key Features - **All NTSB modes** — Aviation (default), Highway, Marine, Pipeline, Railroad, Hazmat - **Event type filter** — Accidents only, Incidents only, or both - **Geographic filters** — State, country - **Date range** — Filter by event date (MM/DD/YYYY) - **Severity filter** — Highest injury level (Fatal, Serious, Minor, None) - **Aircraft / vehicle make** — Substring match (e.g., `Cessna`, `Boeing`, `Piper`) - **Direct case URLs** — Every record links back to the NTSB case docket on data.ntsb.gov - **No authentication required** — Public NTSB CAROL API ### Output Data Fields | Field | Description | |-------|-------------| | `ntsbNo` | NTSB case number | | `eventType` | Accident or Incident | | `eventDate` | Event date | | `city` / `state` / `country` | Event location | | `mode` | Transportation mode | | `vehicleMake` / `vehicleModel` | Aircraft / vehicle make and model | | `tailNumber` | Aircraft registration (N-number) | | `highestInjuryLevel` | Most severe injury (Fatal, Serious, Minor, None) | | `injuriesOnboard` / `injuriesOnGround` | Injury counts | | `reportNumber` | NTSB report number | | `reportType` | Most recent report type (Final, Factual, Preliminary) | | `reportDate` | Report issue date | | `docketPublishDate` | Docket publication date | | `originalPublishedDate` | Original publish date | | `hasSafetyRecommendation` | Whether NTSB issued a safety recommendation | | `completionStatus` | Investigation completion status | | `mkey` / `eventId` | Internal NTSB identifiers | | `caseUrl` | Direct link to the CAROL case page | ### How to Scrape NTSB Investigation Data 1. Open the **NTSB Aviation Scraper** on Apify Store 2. Select transportation mode (Aviation by default) 3. (Optional) Filter by state, date range, severity, aircraft make 4. Click **Start** — JSON records land in the default dataset ### Pricing This Actor uses pay-per-result pricing. The CAROL API responds quickly even for large queries; a 5,000-record pull typically completes in well under 5 minutes. ### Use Cases - **Insurance underwriting** — Build accident-rate priors by aircraft model and operator - **Fleet safety analytics** — Track incident history for specific make/model fleets - **Aviation law & litigation** — Pull cases by aircraft, location, and date range - **Journalism & FOIA** — Pre-screen NTSB cases before pulling full dockets - **AI safety assistants** — Feed accident reports into a RAG pipeline for risk Q&A ### Legal & Disclaimer The NTSB CAROL database is a public U.S. Government resource. This Actor reads the same public API powering data.ntsb.gov; no authentication is bypassed. Records may be preliminary and subject to revision. Users are responsible for compliance with the NTSB Terms of Use. Data provided "as is" without warranty. # Actor input Schema ## `mode` (type: `string`): NTSB transportation mode to query. ## `eventType` (type: `string`): Accident or Incident. Leave empty for both. ## `state` (type: `string`): 2-letter US state code (e.g., 'CA', 'TX') or full state name. Leave empty for all. ## `country` (type: `string`): Country name (e.g., 'United States'). Leave empty for all. ## `dateFrom` (type: `string`): Earliest event date (MM/DD/YYYY). ## `dateTo` (type: `string`): Latest event date (MM/DD/YYYY). ## `highestInjury` (type: `string`): Highest injury severity in the event. Leave empty for all. ## `vehicleMake` (type: `string`): Substring filter on vehicle make (e.g., 'Cessna', 'Boeing', 'Piper'). ## `maxResults` (type: `integer`): Maximum records to return (0 = unlimited). ## Actor input object example ```json { "mode": "Aviation", "eventType": "", "state": "", "country": "", "dateFrom": "", "dateTo": "", "highestInjury": "", "vehicleMake": "", "maxResults": 200 } ```` # 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("compute-edge/ntsb-aviation-scraper").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("compute-edge/ntsb-aviation-scraper").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 compute-edge/ntsb-aviation-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=compute-edge/ntsb-aviation-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "NTSB Aviation Accident Investigations Scraper", "description": "Extract NTSB aviation accident and incident investigations from the official CAROL database. Filter by date, state, severity, aircraft make/model. 180,000+ historical records, plus Highway, Marine, Pipeline, Railroad, Hazmat modes.", "version": "0.1", "x-build-id": "2u5bmWH61XWVH19kf" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/compute-edge~ntsb-aviation-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-compute-edge-ntsb-aviation-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/compute-edge~ntsb-aviation-scraper/runs": { "post": { "operationId": "runs-sync-compute-edge-ntsb-aviation-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/compute-edge~ntsb-aviation-scraper/run-sync": { "post": { "operationId": "run-sync-compute-edge-ntsb-aviation-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "mode": { "title": "Transportation Mode", "enum": [ "Aviation", "Highway", "Marine", "Pipeline", "Railroad", "Hazardous Materials" ], "type": "string", "description": "NTSB transportation mode to query.", "default": "Aviation" }, "eventType": { "title": "Event Type", "enum": [ "", "Accident", "Incident" ], "type": "string", "description": "Accident or Incident. Leave empty for both.", "default": "" }, "state": { "title": "State", "type": "string", "description": "2-letter US state code (e.g., 'CA', 'TX') or full state name. Leave empty for all.", "default": "" }, "country": { "title": "Country", "type": "string", "description": "Country name (e.g., 'United States'). Leave empty for all.", "default": "" }, "dateFrom": { "title": "Event Date From", "type": "string", "description": "Earliest event date (MM/DD/YYYY).", "default": "" }, "dateTo": { "title": "Event Date To", "type": "string", "description": "Latest event date (MM/DD/YYYY).", "default": "" }, "highestInjury": { "title": "Highest Injury Level", "enum": [ "", "Fatal", "Serious", "Minor", "None" ], "type": "string", "description": "Highest injury severity in the event. Leave empty for all.", "default": "" }, "vehicleMake": { "title": "Aircraft / Vehicle Make Contains", "type": "string", "description": "Substring filter on vehicle make (e.g., 'Cessna', 'Boeing', 'Piper').", "default": "" }, "maxResults": { "title": "Max Results", "minimum": 0, "maximum": 20000, "type": "integer", "description": "Maximum records to return (0 = unlimited).", "default": 200 } } }, "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 } } } } } } } } } } ```