# OSHA Accident & Injury Intelligence (`ryanclinton/osha-accident-intel`) Actor Search OSHA workplace accident investigations with incident narratives, injury demographics, fall data, chemical exposures, emphasis programs, and risk scoring. - **URL**: https://apify.com/ryanclinton/osha-accident-intel.md - **Developed by:** [ryan clinton](https://apify.com/ryanclinton) (community) - **Categories:** Other, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $30.00 / 1,000 result returneds 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 ## OSHA Accident & Injury Intelligence Search OSHA workplace accident investigations with incident narratives, injury demographics, fall data, chemical exposures, emphasis programs, and risk scoring. ### What does this actor do? This actor searches the DOL (Department of Labor) OSHA accident investigation database and joins up to 7 related datasets to build comprehensive accident case records: 1. **Accident cases** — Core investigation data: employer, location, date, event type, fatality/hospitalization/amputation flags 2. **Accident abstracts** — Full narrative text describing what happened in each incident 3. **Accident injuries** — Individual injury records with demographics (age, sex), occupation, nature of injury, body part, source of injury, fall distances 4. **Related activities** — Connected inspection activities for the same employer/site 5. **Emphasis codes** — Active OSHA emphasis programs (e.g., Falls, Trenching, PSM Chemical Facilities) 6. **Violation general duty standard** — Section 5(a)(1) citations for novel hazards with no specific standard Each accident case is enriched with a **risk score** (0–100+) based on fatalities, hospitalizations, amputations, mass casualties, fall heights, emphasis programs, general duty citations, and minor workers. ### Input parameters | Parameter | Type | Description | |-----------|------|-------------| | `apiKey` | string | DOL API key (free at https://dataportal.dol.gov/registration) | | `dryRun` | boolean | Return sample data without API calls (default: true unless apiKey provided) | | `companyName` | string | Search by employer name (partial match) | | `state` | string | Two-letter state abbreviation | | `city` | string | Search by city name (partial match) | | `naicsCode` | string | NAICS industry code prefix (e.g., "23" for construction) | | `dateFrom` | string | Filter from date (YYYY-MM-DD) | | `dateTo` | string | Filter to date (YYYY-MM-DD) | | `fatalitiesOnly` | boolean | Only cases with fatalities | | `hospitalizationsOnly` | boolean | Only cases with hospitalizations | | `keyword` | string | Event keyword: Fall, Chemical, Struck, Caught, Electrocution, etc. | | `includeNarratives` | boolean | Join narrative text (default: true) | | `includeInjuryDetails` | boolean | Join detailed injury records (default: true) | | `includeRelatedInspections` | boolean | Join related inspections, emphasis, and general duty (default: false) | | `maxResults` | integer | Max accident cases (1–5000, default: 100) | | `maxInjuriesPerAccident` | integer | Max injury records per case (1–200, default: 50) | ### Output format Each record includes: ```json { "summaryNumber": "202451234", "eventDate": "2024-09-15", "eventDescription": "Employee fell from scaffolding", "eventKeyword": "Fall", "employerName": "SUMMIT CONSTRUCTION LLC", "siteCity": "HOUSTON", "siteState": "TX", "naicsCode": "236220", "isFatality": true, "numberOfFatalities": 1, "numberOfHospitalizations": 0, "numberOfInjuries": 1, "narrative": "At approximately 10:30 AM, an employee was working on a scaffold...", "injuries": [ { "age": 34, "sex": "M", "degreeOfInjury": "1", "degreeDescription": "Fatality", "natureOfInjury": "Fractures", "partOfBody": "Head", "sourceOfInjury": "Floor, ground surfaces", "eventType": "Fall to lower level", "fallHeight": 35, "occupation": "Construction laborer" } ], "injurySummary": { "total": 1, "fatalities": 1, "averageAge": 34, "maleCount": 1, "topNatureOfInjury": "Fractures", "fallRelated": 1 }, "emphasisPrograms": [ { "programType": "N", "programValue": "Falls" } ], "riskScore": 70, "riskLevel": "High", "riskFactors": [ "1 fatality(ies) (+40)", "Fall from 35+ feet (+15)", "1 emphasis program(s) active (+5)" ] } ```` ### Risk scoring Each accident case receives a composite risk score: | Factor | Points | |--------|--------| | Fatality | +40 per fatality | | Hospitalization | +15 each (max 60) | | Amputation | +25 | | Multiple injuries (2–5) | +10 | | Mass casualty (6+) | +20 | | Fall from >20 feet | +15 | | Fall-related injury | +8 | | Emphasis program active | +5 each (max 15) | | General duty (5a1) citation | +10 | | Minor worker (<18) | +20 | **Risk levels:** Critical (80+), High (50–79), Medium (25–49), Low (<25) ### Use cases - **Safety consultants**: Analyze accident patterns by industry, location, and event type - **Insurance underwriters**: Assess workplace risk profiles for employers and industries - **Legal researchers**: Find accident investigations with narratives for litigation research - **Compliance teams**: Monitor industry peers for accident trends and emphasis programs - **EHS professionals**: Benchmark safety performance against industry data - **Journalists**: Investigate workplace safety patterns and mass casualty events - **Supply chain risk**: Screen suppliers and contractors for workplace safety records ### API key This actor uses the DOL Open Data Portal API. Register for a free key at https://dataportal.dol.gov/registration Without an API key, the actor returns realistic sample data in dry run mode. ### Data sources All data comes from the U.S. Department of Labor OSHA public datasets: - `OSHA/accident` — Accident investigation cases - `OSHA/accident_abstract` — Investigation narrative text - `OSHA/accident_injury` — Individual injury records with demographics - `OSHA/related_activity` — Connected inspection activities - `OSHA/emphasis_codes` — Emphasis program designations - `OSHA/violation_gen_duty_std` — General duty standard citations # Actor input Schema ## `apiKey` (type: `string`): Your DOL Open Data Portal API key. Register free at https://dataportal.dol.gov/registration ## `dryRun` (type: `boolean`): Return sample data without calling the API. Default: true (unless apiKey provided) ## `companyName` (type: `string`): Search by employer name (partial match) ## `state` (type: `string`): Two-letter state abbreviation ## `city` (type: `string`): Search by city name (partial match) ## `naicsCode` (type: `string`): Industry NAICS code (prefix match). e.g., '23' for construction, '31-33' for manufacturing ## `dateFrom` (type: `string`): Filter accidents from this date (YYYY-MM-DD) ## `dateTo` (type: `string`): Filter accidents up to this date (YYYY-MM-DD) ## `fatalitiesOnly` (type: `boolean`): Only return cases involving fatalities ## `hospitalizationsOnly` (type: `boolean`): Only return cases involving hospitalizations (ignored if fatalitiesOnly is set) ## `keyword` (type: `string`): Search by event keyword. e.g., 'Fall', 'Chemical', 'Struck', 'Caught', 'Electrocution' ## `includeNarratives` (type: `boolean`): Join incident narrative text from accident abstracts ## `includeInjuryDetails` (type: `boolean`): Join detailed injury records (age, sex, occupation, body part, nature of injury) ## `includeRelatedInspections` (type: `boolean`): Join related inspection activities, emphasis programs, and general duty citations ## `maxResults` (type: `integer`): Maximum number of accident cases to return (1-5000) ## `maxInjuriesPerAccident` (type: `integer`): Maximum injury records to fetch per accident case (1-200) ## Actor input object example ```json { "dryRun": true, "fatalitiesOnly": false, "hospitalizationsOnly": false, "includeNarratives": true, "includeInjuryDetails": true, "includeRelatedInspections": false, "maxResults": 100, "maxInjuriesPerAccident": 50 } ``` # Actor output Schema ## `results` (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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("ryanclinton/osha-accident-intel").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("ryanclinton/osha-accident-intel").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 ryanclinton/osha-accident-intel --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ryanclinton/osha-accident-intel", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "OSHA Accident & Injury Intelligence", "description": "Search OSHA workplace accident investigations with incident narratives, injury demographics, fall data, chemical exposures, emphasis programs, and risk scoring.", "version": "0.1", "x-build-id": "ofFShUL0Y4cCyrEcS" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ryanclinton~osha-accident-intel/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ryanclinton-osha-accident-intel", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ryanclinton~osha-accident-intel/runs": { "post": { "operationId": "runs-sync-ryanclinton-osha-accident-intel", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ryanclinton~osha-accident-intel/run-sync": { "post": { "operationId": "run-sync-ryanclinton-osha-accident-intel", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "apiKey": { "title": "DOL API Key", "type": "string", "description": "Your DOL Open Data Portal API key. Register free at https://dataportal.dol.gov/registration" }, "dryRun": { "title": "Dry Run", "type": "boolean", "description": "Return sample data without calling the API. Default: true (unless apiKey provided)", "default": true }, "companyName": { "title": "Company Name", "type": "string", "description": "Search by employer name (partial match)" }, "state": { "title": "State", "type": "string", "description": "Two-letter state abbreviation" }, "city": { "title": "City", "type": "string", "description": "Search by city name (partial match)" }, "naicsCode": { "title": "NAICS Code", "type": "string", "description": "Industry NAICS code (prefix match). e.g., '23' for construction, '31-33' for manufacturing" }, "dateFrom": { "title": "Date From", "type": "string", "description": "Filter accidents from this date (YYYY-MM-DD)" }, "dateTo": { "title": "Date To", "type": "string", "description": "Filter accidents up to this date (YYYY-MM-DD)" }, "fatalitiesOnly": { "title": "Fatalities Only", "type": "boolean", "description": "Only return cases involving fatalities", "default": false }, "hospitalizationsOnly": { "title": "Hospitalizations Only", "type": "boolean", "description": "Only return cases involving hospitalizations (ignored if fatalitiesOnly is set)", "default": false }, "keyword": { "title": "Event Keyword", "type": "string", "description": "Search by event keyword. e.g., 'Fall', 'Chemical', 'Struck', 'Caught', 'Electrocution'" }, "includeNarratives": { "title": "Include Narratives", "type": "boolean", "description": "Join incident narrative text from accident abstracts", "default": true }, "includeInjuryDetails": { "title": "Include Injury Details", "type": "boolean", "description": "Join detailed injury records (age, sex, occupation, body part, nature of injury)", "default": true }, "includeRelatedInspections": { "title": "Include Related Inspections", "type": "boolean", "description": "Join related inspection activities, emphasis programs, and general duty citations", "default": false }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of accident cases to return (1-5000)", "default": 100 }, "maxInjuriesPerAccident": { "title": "Max Injuries Per Accident", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum injury records to fetch per accident case (1-200)", "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 } } } } } } } } } } ```