# NTSB Aviation Accident Scraper (`parseforge/ntsb-accident-scraper`) Actor Scrape NTSB accident investigation records covering aviation, highway, rail, and marine incidents. Get event dates, locations, aircraft details, injury levels, and investigation reports. Filter by mode, state, injury severity, and date range. - **URL**: https://apify.com/parseforge/ntsb-accident-scraper.md - **Developed by:** [ParseForge](https://apify.com/parseforge) (community) - **Categories:** Developer tools, Automation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $7.00 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ![ParseForge Banner](https://raw.githubusercontent.com/ParseForge/apify-assets/main/banner.jpg) ## ✈️ NTSB Aviation Accident Scraper Whether you're a safety researcher analyzing crash patterns, an insurance professional assessing risk, or a journalist investigating aviation incidents, this tool makes it easy to collect structured accident investigation data from the National Transportation Safety Board. > **The NTSB Accident Scraper collects transportation accident records including aircraft details, location, injury levels, investigation status, and probable cause. Filter by mode, city, injury severity, registration number, and date range.** ### ✨ What Does It Do - ✈️ **Accident records** - collect investigation details from 178,000+ NTSB records covering decades of incidents - 🏥 **Injury data** - get highest injury severity levels for each accident (fatal, serious, minor, none) - 📍 **Location details** - extract city, state, and country information for every incident - 🔧 **Aircraft information** - access registration numbers, aircraft make/model, and operator details - 🚂 **Multiple modes** - search across Aviation, Highway, Marine, Pipeline, and Railroad investigations - 📅 **Date filtering** - narrow results to a specific time period with start and end dates ### 🔧 Input - **Max Items** - how many records to collect (free users get 10 items, paid users up to 1,000,000) - **Investigation Mode** - type of accident: Aviation, Highway, Marine, Pipeline, or Railroad - **City Search** - search by city name (e.g., Los Angeles, Houston, Denver) - **Registration Number** - search by aircraft registration number (N-number) - **Highest Injury Level** - filter by severity: Fatal, Serious, Minor, or None - **Start Date / End Date** - filter by date range (MM/DD/YYYY format) ```json { "maxItems": 50, "mode": "Aviation", "state": "Denver", "highestInjury": "Fatal", "startDate": "01/01/2020", "endDate": "12/31/2024" } ```` ### 📊 Output Each accident record includes detailed investigation fields. Download as JSON, CSV, or Excel. | Field | Description | |-------|-------------| | EventDate | Date of the accident | | City | City where the accident occurred | | State | State where the accident occurred | | Country | Country of the event | | HighestInjury | Highest injury level (Fatal, Serious, Minor, None) | | AircraftMake | Aircraft manufacturer | | AircraftModel | Aircraft model | | RegistrationNumber | Aircraft N-number | | ReportStatus | Current investigation status | | ProbableCause | NTSB probable cause finding | | entryId | Unique NTSB record identifier | | scrapedAt | Timestamp when the record was collected | ```json { "EventDate": "01/15/2023", "City": "Denver", "State": "Colorado", "Country": "United States", "HighestInjury": "Fatal", "Mode": "Aviation", "AircraftMake": "Cessna", "AircraftModel": "172S", "RegistrationNumber": "N12345", "ReportStatus": "Probable Cause", "entryId": "20230115X00001", "scrapedAt": "2026-04-09T12:00:00.000Z" } ``` ### 💎 Why Choose the NTSB Accident Scraper? | Feature | Our Tool | Manual NTSB Search | |---------|----------|-------------------| | Batch collection | Up to 1M records | Browse one at a time | | Multiple filters | Mode, city, injury, date | Limited web form | | Structured output | JSON, CSV, Excel | PDF reports only | | Automated scheduling | Daily/weekly monitoring | Manual visits | | All transport modes | Aviation, Highway, Marine, Rail, Pipeline | Separate searches | ### 📋 How to Use 1. **Sign Up** - [Create a free account w/ $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp) 2. **Configure** - pick your investigation mode, set filters, and choose how many records you want 3. **Run It** - click "Start" and get structured accident data in seconds No coding, no setup, no manual browsing required. ### 🎯 Business Use Cases - 🛡️ **Insurance companies** - analyze accident frequency by region, aircraft type, and severity for underwriting decisions - 🔬 **Safety researchers** - study crash patterns across decades to identify systemic risks and improvement areas - 📰 **Journalists** - investigate aviation incidents with structured data on causes, locations, and outcomes - ✈️ **Aviation consultants** - monitor NTSB findings to advise clients on safety compliance and risk management - 🏛️ **Regulatory analysts** - track investigation outcomes and probable cause findings across transportation modes - 📊 **Data analysts** - build dashboards on accident trends, seasonal patterns, and geographic hotspots ### ❓ FAQ ✈️ **What is the NTSB CAROL database?** CAROL (Case Analysis and Reporting Online) is the NTSB's official database containing 178,000+ transportation accident investigation records spanning decades of data. 🚂 **Can I search non-aviation accidents?** Yes. The scraper supports five investigation modes: Aviation, Highway, Marine, Pipeline, and Railroad. Select the mode that matches your needs. 📅 **What date format should I use?** Use MM/DD/YYYY format (e.g., 01/15/2023). You can set both a start and end date to define a range, or just a start date for a specific day. ⏱️ **How long does a run take?** About 100 records per second. A run of 1,000 records typically completes in under 15 seconds. ### 🔗 Integrate NTSB Accident Scraper with any app - [Make](https://docs.apify.com/platform/integrations/make) - Automate safety monitoring workflows - [Zapier](https://docs.apify.com/platform/integrations/zapier) - Get alerts for new accident reports - [Slack](https://docs.apify.com/platform/integrations/slack) - Get notified in your team channel - [Google Drive](https://docs.apify.com/platform/integrations/drive) - Export accident data to spreadsheets - [Webhooks](https://docs.apify.com/platform/integrations/webhooks) - Trigger actions when runs complete ### 💡 Recommended Actors Looking for more government and safety data tools? Check out these related actors: | Actor | Description | Link | |-------|-------------|------| | FAA Aircraft Registry Scraper | Extract aircraft registration data by N-number | [Link](https://apify.com/parseforge/faa-aircraft-registry-scraper) | | Grants.gov Scraper | Collect federal grant opportunities | [Link](https://apify.com/parseforge/grants-gov-scraper) | | GSA eLibrary Scraper | Collect government contract data from GSA | [Link](https://apify.com/parseforge/gsa-elibrary-scraper) | | FINRA BrokerCheck Scraper | Look up broker registration data | [Link](https://apify.com/parseforge/finra-brokercheck-scraper) | | USASpending Scraper | Gather federal spending and award data | [Link](https://apify.com/parseforge/usaspending-scraper) | **Pro Tip:** Browse our complete collection of [data collection actors](https://apify.com/parseforge) to find the perfect tool for your needs. ### 🆘 Need Help? - Check the FAQ section above for common questions - Visit the [Apify documentation](https://docs.apify.com) for platform guides - Contact us at [Tally contact form](https://tally.so/r/BzdKgA) ### ⚠️ Disclaimer > This Actor is an independent tool and is not affiliated with, endorsed by, or connected to the National Transportation Safety Board (NTSB) or any government agency. It accesses only publicly available data. # Actor input Schema ## `maxItems` (type: `integer`): Free users: Limited to 10 records (preview). Paid users: Optional, max 1,000,000 ## `mode` (type: `string`): Type of transportation accident. ## `state` (type: `string`): Search by city name (e.g. Los Angeles, Houston, Denver). ## `aircraftMake` (type: `string`): Search by aircraft registration number (N-number, e.g. N12345). ## `highestInjury` (type: `string`): Filter by highest injury severity. ## `startDate` (type: `string`): Start date (MM/DD/YYYY). Use with End Date for a date range. ## `endDate` (type: `string`): End date (MM/DD/YYYY). ## Actor input object example ```json { "maxItems": 10, "mode": "Aviation" } ``` # Actor output Schema ## `overview` (type: `string`): No description # 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 = { "maxItems": 10, "mode": "Aviation" }; // Run the Actor and wait for it to finish const run = await client.actor("parseforge/ntsb-accident-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 = { "maxItems": 10, "mode": "Aviation", } # Run the Actor and wait for it to finish run = client.actor("parseforge/ntsb-accident-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 '{ "maxItems": 10, "mode": "Aviation" }' | apify call parseforge/ntsb-accident-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=parseforge/ntsb-accident-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "NTSB Aviation Accident Scraper", "description": "Scrape NTSB accident investigation records covering aviation, highway, rail, and marine incidents. Get event dates, locations, aircraft details, injury levels, and investigation reports. Filter by mode, state, injury severity, and date range.", "version": "1.0", "x-build-id": "hYZ0SY3toFTtSZp7c" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/parseforge~ntsb-accident-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-parseforge-ntsb-accident-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/parseforge~ntsb-accident-scraper/runs": { "post": { "operationId": "runs-sync-parseforge-ntsb-accident-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/parseforge~ntsb-accident-scraper/run-sync": { "post": { "operationId": "run-sync-parseforge-ntsb-accident-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 1000000, "type": "integer", "description": "Free users: Limited to 10 records (preview). Paid users: Optional, max 1,000,000" }, "mode": { "title": "Investigation Mode", "enum": [ "Aviation", "Highway", "Marine", "Pipeline", "Railroad" ], "type": "string", "description": "Type of transportation accident." }, "state": { "title": "City Search", "type": "string", "description": "Search by city name (e.g. Los Angeles, Houston, Denver)." }, "aircraftMake": { "title": "Registration Number", "type": "string", "description": "Search by aircraft registration number (N-number, e.g. N12345)." }, "highestInjury": { "title": "Highest Injury Level", "enum": [ "", "Fatal", "Serious", "Minor", "None" ], "type": "string", "description": "Filter by highest injury severity." }, "startDate": { "title": "Start Date", "type": "string", "description": "Start date (MM/DD/YYYY). Use with End Date for a date range." }, "endDate": { "title": "End Date", "type": "string", "description": "End date (MM/DD/YYYY)." } } }, "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 } } } } } } } } } } ```