# Healthgrades Scraper (`celebrated-quadraphonic/healthgrades-scraper`) Actor Extract US doctor data from Healthgrades. 30+ fields: name, credentials, specialty, ratings, reviews, address, phone, insurance, hospitals, languages. Just enter specialty + location. Perfect for lead generation & market research. $3/1K results. - **URL**: https://apify.com/celebrated-quadraphonic/healthgrades-scraper.md - **Developed by:** [XiaoZhi DataTools](https://apify.com/celebrated-quadraphonic) (community) - **Categories:** Developer tools, Automation, Lead generation - **Stats:** 1 total users, 0 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 ## Healthgrades Doctor Scraper β€” 30+ Fields, $3/1K ### πŸ₯ Extract US Doctor & Provider Data from Healthgrades.com Get comprehensive healthcare provider data with **30+ fields** including patient reviews, insurance plans, board certifications, hospital affiliations, and more. **Perfect for:** Healthcare marketing, lead generation, insurance network research, provider reputation monitoring, and market research. --- ### ✨ What You Get Each doctor profile includes: - **Basic Info:** Full name, credentials (MD/DO/DMD/etc), specialty, gender - **Ratings:** Star rating (1-5), total review count - **Contact:** Phone, fax, full address (street, city, state, ZIP) - **Practice:** Practice name, accepting new patients, telehealth availability - **Medical:** Board certifications, conditions treated, procedures performed - **Education:** Medical school, training, years in practice - **Insurance:** Accepted insurance plans - **Hospital:** Hospital affiliations with ratings and awards - **Languages:** Languages spoken - **Reviews:** Full patient review text with dates and ratings - **Photo:** Profile image URL - **Bio:** Full biography --- ### πŸš€ How to Use (3 Simple Steps) #### Step 1: Enter Search Criteria - **Medical Specialty** β€” Type of doctor (e.g., "Dentist", "Cardiologist", "Family Medicine") - **Location** β€” City and State (e.g., "New York, NY") or ZIP code (e.g., "10001") #### Step 2: Set Options (Optional) - **Number of Doctors** β€” How many to scrape (default: 50) - **Include Reviews** β€” Whether to extract patient reviews (default: Yes) #### Step 3: Click "Start" - Wait 1-2 minutes for results - Download data as JSON, CSV, or Excel --- ### πŸ“‹ Example Searches | Specialty | Location | Use Case | |-----------|----------|----------| | Dentist | New York, NY | Build dental practice mailing list | | Cardiologist | Los Angeles, CA | Find heart specialists for referral | | Family Medicine | Chicago, IL | Primary care provider research | | Dermatologist | Miami, FL | Skin care clinic lead generation | | Orthopedic Surgeon | Houston, TX | Sports medicine outreach | | Pediatrician | Phoenix, AZ | Children's healthcare providers | --- ### πŸ“Š Sample Output ```json { "name": "Majid Jamali", "credentials": "DMD", "specialty": "PlasticSurgery", "rating": 4.832, "reviewCount": 81, "phone": "(212) 235-1529", "address": { "street": "42 Broadway Ste 1501", "city": "New York", "state": "NY", "zipCode": "10004", "fullAddress": "42 Broadway Ste 1501, New York, NY 10004" }, "languages": ["English", "Persian", "Spanish"], "acceptingNewPatients": true, "offersTelehealth": true, "hospitalAffiliations": [ { "name": "Newyork-Presbyterian Brooklyn Methodist Hospital", "awards": ["America's 250 Best Hospitals Awardβ„’ 2026"] } ], "insurancePlans": ["Aetna", "Blue Cross Blue Shield", "Cigna", "UnitedHealthcare"], "biography": "Dr. Majid Jamali, DMD is an oral & maxillofacial surgery specialist..." } ```` *** ### πŸ’° Pricing **$3.00 per 1,000 results** β€” Pay only for what you use. | Results | Cost | Use Case | |---------|------|----------| | 50 doctors | ~$0.15 | Quick research | | 500 doctors | ~$1.50 | Local market analysis | | 1,000 doctors | $3.00 | Regional lead list | | 5,000 doctors | $15.00 | State-wide database | | 10,000 doctors | $30.00 | National campaign | *** ### πŸ†š Why Choose This Scraper? | Feature | This Scraper | Others | |---------|--------------|--------| | Data fields | **30+** | 10-15 | | Price | **$3/1K** | $4-20/1K | | Patient reviews | βœ… Full text | ❌ Count only | | Insurance plans | βœ… | ❌ | | Hospital affiliations | βœ… | ❌ | | Board certifications | βœ… | ❌ | | Simple input | βœ… 4 fields | ❌ JSON required | | Batch search | βœ… | ❌ | *** ### πŸ”§ Technical Details - **Technology:** Playwright (headless browser) β€” bypasses AWS WAF - **Data Source:** JSON-LD structured data + HTML parsing - **Speed:** ~30-50 seconds per doctor profile - **Proxy:** Apify Proxy recommended for large runs - **Concurrency:** 2-3 concurrent requests optimal *** ### ❓ FAQ **Q: How many doctors can I scrape at once?** A: Up to 500 per run. For larger datasets, run multiple times with different locations. **Q: Do I need a proxy?** A: For small runs (<100 results), no. For larger runs, enable Apify Proxy to avoid rate limits. **Q: What format is the output?** A: JSON by default. You can export to CSV or Excel from the Apify Console. **Q: How accurate is the data?** A: Data comes directly from Healthgrades.com's structured data (JSON-LD), which is highly accurate. **Q: Can I scrape specific doctor profiles?** A: Yes! Use the "startUrls" field in advanced settings to paste specific Healthgrades URLs. *** ### πŸ“ž Support For issues or feature requests, contact through Apify. ### πŸ“„ Legal This scraper is for educational and research purposes. Users are responsible for complying with Healthgrades' Terms of Service and applicable laws. # Actor input Schema ## `specialty` (type: `string`): What type of doctor to search for ## `location` (type: `string`): City and State, or ZIP code (e.g., 'New York, NY' or '10001') ## `maxResults` (type: `integer`): How many doctors to scrape (more = higher cost) ## `includeReviews` (type: `boolean`): Extract patient review text and ratings ## Actor input object example ```json { "specialty": "Dentist", "location": "New York, NY", "maxResults": 50, "includeReviews": true } ``` # 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 = { "specialty": "Dentist", "location": "New York, NY", "maxResults": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("celebrated-quadraphonic/healthgrades-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "specialty": "Dentist", "location": "New York, NY", "maxResults": 50, } # Run the Actor and wait for it to finish run = client.actor("celebrated-quadraphonic/healthgrades-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "specialty": "Dentist", "location": "New York, NY", "maxResults": 50 }' | apify call celebrated-quadraphonic/healthgrades-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=celebrated-quadraphonic/healthgrades-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Healthgrades Scraper", "description": "Extract US doctor data from Healthgrades. 30+ fields: name, credentials, specialty, ratings, reviews, address, phone, insurance, hospitals, languages. Just enter specialty + location. Perfect for lead generation & market research. $3/1K results.", "version": "1.0", "x-build-id": "UPrgoF2t56aGXb4il" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/celebrated-quadraphonic~healthgrades-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-celebrated-quadraphonic-healthgrades-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/celebrated-quadraphonic~healthgrades-scraper/runs": { "post": { "operationId": "runs-sync-celebrated-quadraphonic-healthgrades-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/celebrated-quadraphonic~healthgrades-scraper/run-sync": { "post": { "operationId": "run-sync-celebrated-quadraphonic-healthgrades-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": { "specialty": { "title": "Medical Specialty", "type": "string", "description": "What type of doctor to search for", "default": "Dentist" }, "location": { "title": "Location", "type": "string", "description": "City and State, or ZIP code (e.g., 'New York, NY' or '10001')", "default": "New York, NY" }, "maxResults": { "title": "Number of Doctors", "minimum": 1, "maximum": 500, "type": "integer", "description": "How many doctors to scrape (more = higher cost)", "default": 50 }, "includeReviews": { "title": "Include Patient Reviews", "type": "boolean", "description": "Extract patient review text and ratings", "default": true } } }, "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 } } } } } } } } } } ```