# EatRight RDN Directory Scraper - Dietitian Finder (`jungle_synthesizer/eatright-rdn-directory-scraper`) Actor Scrape the Academy of Nutrition and Dietetics' Find a Nutrition Expert directory. Extracts contact details, specialties, insurance, languages, and telehealth availability for ~100k registered dietitian nutritionists (RDNs) across the US. - **URL**: https://apify.com/jungle\_synthesizer/eatright-rdn-directory-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Lead generation, Education - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## EatRight.org RDN Directory Scraper Scrapes the Academy of Nutrition and Dietetics' **Find a Nutrition Expert** directory — the official national registry of Registered Dietitian Nutritionists (RDNs) in the United States. Extracts contact details, specialties, insurance/payment options, languages, and telehealth availability for the full dataset of ~100,000 credentialed nutrition professionals. ### Features - Covers all ~100,000 RDNs listed on eatright.org - Extracts name, credentials, practice name, phone, email, website, address, city, state, ZIP - Captures telehealth vs. in-person availability flags - Supports filtering by one or more US states - Deduplicates records across geographic search passes automatically - Direct link to each RDN's profile page on eatright.org ### Use Cases - **Lead generation** — Build outreach lists for nutrition-adjacent B2B products (EHR software, continuing education, supplement brands) - **Research** — Analyze RDN distribution, specialties, and telehealth adoption by region - **Directories** — Power a curated dietitian finder or referral tool - **Market intelligence** — Understand the US dietetics landscape at scale ### How It Works The scraper calls the undocumented JSON API behind the eatright.org "Find a Nutrition Expert" search interface. It runs two discovery passes: 1. **In-person pass** — Queries ~974 US cities to retrieve in-person RDNs sorted by last name (24 per page, paginated) 2. **Telehealth pass** — Queries 61 US states/territories to retrieve telehealth-only RDNs Records are deduplicated by unique RDN ID across both passes. No browser automation or proxy required — the API is publicly accessible. ### Input | Field | Type | Description | Default | |-------|------|-------------|---------| | `maxItems` | Integer | Maximum records to return. Set to `0` for all. Use a small number for testing. | `10` | | `states` | Array | Filter to specific states by full name (e.g. `["California", "New York"]`). Leave empty for all states. | `[]` (all) | ### Output Each record in the dataset contains: | Field | Description | |-------|-------------| | `id` | Unique RDN identifier from the directory | | `name` | Full name (e.g. `Jane Smith`) | | `credentials` | Credential string (e.g. `MS RDN LDN`) | | `practice_name` | Practice or employer name | | `phone` | Phone number formatted as `(XXX) XXX-XXXX` | | `email` | Contact email address | | `website` | Practice or personal website URL | | `address` | Street address | | `city` | City | | `state` | Two-letter state code | | `zip` | ZIP code | | `telehealth` | `true` if telehealth appointments offered | | `in_person` | `true` if in-person appointments offered | | `specialties` | Specialties (pipe-separated) | | `insurance_accepted` | Insurance/payment options (pipe-separated) | | `languages` | Languages spoken (pipe-separated) | | `profile_url` | Full URL to the RDN's eatright.org profile | | `scraped_at` | ISO timestamp when record was scraped | #### Sample Record ```json { "id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890", "name": "Jane Smith", "credentials": "MS RDN LDN", "practice_name": "Smith Nutrition LLC", "phone": "(312) 555-0100", "email": "jane@smithnutrition.com", "website": "https://smithnutrition.com", "address": "123 Main St", "city": "Chicago", "state": "IL", "zip": "60601", "telehealth": true, "in_person": true, "specialties": "Diabetes|Sports Nutrition|Weight Management", "insurance_accepted": "Blue Cross Blue Shield|Aetna|Self-Pay", "languages": "English|Spanish", "profile_url": "https://www.eatright.org/find-a-nutrition-expert-details?id=a1b2c3d4-e5f6-7890-abcd-ef1234567890", "scraped_at": "2026-05-10T12:00:00.000Z" } ```` ### FAQ **How many records can I expect?** The full directory contains approximately 100,000 RDNs. A complete run (no state filter, `maxItems: 0`) retrieves the full dataset. **Do I need a proxy?** No. The eatright.org API is publicly accessible without authentication or proxy. The scraper runs cleanly on Apify's default infrastructure. **Can I filter by specialty?** Not directly — the API does not support specialty filtering. Run a full scrape and filter the output dataset by the `specialties` field. **How fresh is the data?** The eatright.org directory is updated in real time as RDN members update their profiles. Re-run the scraper periodically to capture changes. **What does `maxItems: 0` mean?** Setting `maxItems` to `0` (or leaving it blank) removes the record limit and scrapes the entire directory. ### Need a Custom Build? Visit [OrbTop.com](https://orbtop.com) to browse our full catalog of pre-built scrapers, or contact us if you need a custom scraper for another directory or data source. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `maxItems` (type: `integer`): Maximum number of RDN records to scrape. Use a small number (e.g. 10) for testing. Leave blank or set to 0 to scrape all available records. ## `states` (type: `array`): List of US states to scrape (full name, e.g. 'California', 'New York'). Leave empty to scrape all states. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "states": [] } ``` # 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "states": [] }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/eatright-rdn-directory-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "states": [], } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/eatright-rdn-directory-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "states": [] }' | apify call jungle_synthesizer/eatright-rdn-directory-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/eatright-rdn-directory-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "EatRight RDN Directory Scraper - Dietitian Finder", "description": "Scrape the Academy of Nutrition and Dietetics' Find a Nutrition Expert directory. Extracts contact details, specialties, insurance, languages, and telehealth availability for ~100k registered dietitian nutritionists (RDNs) across the US.", "version": "0.1", "x-build-id": "s1q5O4jkMG6s4lqiV" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~eatright-rdn-directory-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-eatright-rdn-directory-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/jungle_synthesizer~eatright-rdn-directory-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-eatright-rdn-directory-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/jungle_synthesizer~eatright-rdn-directory-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-eatright-rdn-directory-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", "required": [ "maxItems" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of RDN records to scrape. Use a small number (e.g. 10) for testing. Leave blank or set to 0 to scrape all available records.", "default": 10 }, "states": { "title": "States to Scrape", "type": "array", "description": "List of US states to scrape (full name, e.g. 'California', 'New York'). Leave empty to scrape all states." } } }, "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 } } } } } } } } } } ```