# Nppes Occupational Therapist Leads Scraper (`gocreative.ai/nppes-occupational-therapist-leads`) Actor Extract licensed Occupational Therapist (OT) and OT Assistant (COTA) contact leads from the CMS NPPES NPI Registry. Filter by US state, city, and subspecialty (Hand, Pediatrics, Neuro, Rehab, Driver Rehab). Returns name, credential, address, phone, NPI, and email when published. Ideal for OT softwar - **URL**: https://apify.com/gocreative.ai/nppes-occupational-therapist-leads.md - **Developed by:** [GoCreative AI](https://apify.com/gocreative.ai) (community) - **Categories:** Lead generation, Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $6.00 / 1,000 leads 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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 ## NPPES Occupational Therapist & OTA Leads ### 📊 Example output (real run) ![Sample output](https://api.apify.com/v2/key-value-stores/1ztQFHwG8acESTazI/records/nppes-occupational-therapist-leads-sample) A real record from a live run — clean structured data, exported as CSV / JSON / Excel or via API. Extract licensed Occupational Therapist (OT) and OT Assistant (COTA) contact leads from the CMS NPPES NPI Registry. Filter by US state, city, and subspecialty (Hand, Pediatrics, Neuro, Rehab, Driver Rehab). Returns name, credential, address, phone, NPI, and email when published. Ideal for OT software vendors, staffing agencies, adaptive equipment suppliers, and healthcare recruiters. --- ### What you get (real output fields) Every record includes: - `npi` - `provider_name` - `credential` - `specialty` - `taxonomy_code` - `practice_address` - `practice_address2` - `city` - `state` - `zip_code` - `phone` - `fax` - `email` - `gender` - `enumeration_date` - `last_updated` - `status` #### Example record (real output, one live run) ```json { "npi": "1942335278", "provider_name": "KIRSTEN (COULTER) LEWIS", "credential": null, "specialty": "Occupational Therapist", "taxonomy_code": "225X00000X", "practice_address": "125 PRESUMPSCOT ST", "practice_address2": null, "city": "PORTLAND", "state": "ME", "zip_code": "04103", "phone": "207-828-0754", "fax": null, "email": null, "gender": "F", "enumeration_date": "2007-02-23", "last_updated": "2007-07-09", "status": "A" } ```` *** ### Use cases - **Sales & lead generation** — build a targeted, verifiable outreach list from a real public source. - **Market research** — measure coverage, count, and distribution for this category over time. - **CRM / enrichment pipeline** — feed structured rows straight into your CRM, Clay, or a data warehouse. - **Due diligence / verification** — every record traces back to its public source, so any lead can be checked by hand. *** ### How to use it 1. Run the actor (schedule it to catch new/changed records automatically). 2. Export results as **JSON, CSV, or Excel**, or pull via the Apify API/dataset. 3. Push straight into your CRM or outreach tool, or join it with our other lead/enrichment actors. ### Notes on data quality - Data is pulled directly from the public source described above — not aggregated or resold. - Fields the source left blank are returned as empty/null rather than guessed — no fabricated data. # Actor input Schema ## `state` (type: `string`): Filter by US state abbreviation (e.g. CA, TX, FL). Leave blank to search all states. ## `city` (type: `string`): Filter by city name (e.g. 'Houston'). Leave blank for all cities. ## `specialty` (type: `string`): Choose the occupational therapy subspecialty to extract. ## `maxResults` (type: `integer`): Maximum number of provider records to return (up to 5000 per run). ## Actor input object example ```json { "state": "TX", "city": "Houston", "specialty": "OT", "maxResults": 500 } ``` # Actor output Schema # 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 = { "state": "TX", "maxResults": 500 }; // Run the Actor and wait for it to finish const run = await client.actor("gocreative.ai/nppes-occupational-therapist-leads").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 = { "state": "TX", "maxResults": 500, } # Run the Actor and wait for it to finish run = client.actor("gocreative.ai/nppes-occupational-therapist-leads").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 '{ "state": "TX", "maxResults": 500 }' | apify call gocreative.ai/nppes-occupational-therapist-leads --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=gocreative.ai/nppes-occupational-therapist-leads", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Nppes Occupational Therapist Leads Scraper", "description": "Extract licensed Occupational Therapist (OT) and OT Assistant (COTA) contact leads from the CMS NPPES NPI Registry. Filter by US state, city, and subspecialty (Hand, Pediatrics, Neuro, Rehab, Driver Rehab). Returns name, credential, address, phone, NPI, and email when published. Ideal for OT softwar", "version": "0.1", "x-build-id": "YHDhHwJvGuaKYllqm" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/gocreative.ai~nppes-occupational-therapist-leads/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-gocreative.ai-nppes-occupational-therapist-leads", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/gocreative.ai~nppes-occupational-therapist-leads/runs": { "post": { "operationId": "runs-sync-gocreative.ai-nppes-occupational-therapist-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/gocreative.ai~nppes-occupational-therapist-leads/run-sync": { "post": { "operationId": "run-sync-gocreative.ai-nppes-occupational-therapist-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "state": { "title": "State (2-letter code)", "pattern": "^[A-Za-z]{0,2}$", "type": "string", "description": "Filter by US state abbreviation (e.g. CA, TX, FL). Leave blank to search all states." }, "city": { "title": "City", "type": "string", "description": "Filter by city name (e.g. 'Houston'). Leave blank for all cities." }, "specialty": { "title": "OT Subspecialty", "enum": [ "OT", "OT_HAND", "OT_PEDS", "OT_NEURO", "OT_DRIVER", "OT_REHAB", "COTA", "ALL" ], "type": "string", "description": "Choose the occupational therapy subspecialty to extract.", "default": "OT" }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of provider records to return (up to 5000 per run).", "default": 500 } } }, "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 } } } } } } } } } } ```