# Healthcare Google Maps Scraper (`mukeshrana90/healthcare-google-maps-scraper`) Actor Scrape healthcare clinics from Google Maps with email, social media, insurance, doctor count, review sentiment, online booking detection, metro area classification, and clinic type. 35+ fields per result, CRM-ready output. - **URL**: https://apify.com/mukeshrana90/healthcare-google-maps-scraper.md - **Developed by:** [Mukesh Rana](https://apify.com/mukeshrana90) (community) - **Categories:** Lead generation, Social media - **Stats:** 8 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: 5.00 out of 5 stars ## 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 ## Healthcare Google Maps Scraper Scrape healthcare businesses from Google Maps and enrich each result with emails, social media links, insurance details, doctor count, patient review sentiment, online booking detection, metro area classification, and clinic type. Built for healthcare marketing agencies, medical recruiters, insurance networks, and health-tech companies that need structured, CRM-ready data from Google Maps. ### What data do you get? Each scraped business includes up to **35+ fields** across these categories: | Category | Fields | |----------|--------| | **Identity** | name, category, specialty | | **Location** | address, city, state, postalCode, country, latitude, longitude | | **Contact** | phone, website, email | | **Social Media** | instagram, facebook, linkedin, twitter | | **Healthcare** | insuranceAccepted, doctorCount | | **Micro-niche** | hasOnlineBooking, bookingType, bookingUrl, isMetroArea, metroName, metroTier, clinicType, clinicTypeLabel, clinicConfidence | | **Reputation** | rating, reviewCount, reviewSentiment (label, score, topThemes, snippets) | | **Operational** | hours, isOpenNow | | **Metadata** | placeId, mapsUrl, scrapedAt, searchTerm, searchLocation | ### Sample output ```json { "name": "Schiffman Oral Surgery", "category": "Oral surgeon", "specialty": "Oral surgeon", "address": "141 Franklin Pl Suite B", "fullAddress": "141 Franklin Pl Suite B, Woodmere, NY 11598, United States", "city": "Woodmere", "state": "NY", "country": "United States", "postalCode": "11598", "latitude": 40.6331226, "longitude": -73.7089737, "phone": "+15165691111", "website": "https://schiffmanoms.com/", "email": "office@schiffmanoms.com", "instagram": null, "facebook": "https://facebook.com/schiffmanOMS", "linkedin": null, "twitter": null, "insuranceAccepted": null, "doctorCount": null, "hasOnlineBooking": false, "bookingType": null, "bookingUrl": null, "isMetroArea": false, "metroName": null, "metroTier": null, "clinicType": "unknown", "clinicTypeLabel": "Unknown", "clinicConfidence": "low", "rating": 5, "reviewCount": 5, "reviewSentiment": { "label": "Positive", "score": 88, "topThemes": ["staffBehavior"], "reviewsAnalysed": 3, "avgRating": 5, "snippets": { "positive": [ "I cannot recommend this office enough! Everyone, from the front office staff, to the doctors...", "I had a great experience at Schiffman Oral Surgery! I was nervous since this was my first time..." ], "negative": [] } }, "hours": { "Monday": "9 am\u20136 pm", "Tuesday": "9 am\u20135 pm", "Wednesday": "Closed", "Thursday": "9 am\u20135 pm", "Friday": "9 am\u20132 pm", "Saturday": "Closed", "Sunday": "Closed" }, "isOpenNow": true, "placeId": "0x89c265ac4855a48f:0xb207cdd676e49cc4", "mapsUrl": "https://www.google.com/maps/place/Schiffman+Oral+Surgery/...", "scrapedAt": "2026-04-07T10:56:47.935Z", "searchTerm": "dental clinic", "searchLocation": "New York, USA" } ```` ### How to use 1. **Search terms** — Enter healthcare categories like `dental clinic`, `hospital`, `dermatologist`, `physiotherapy`, `pediatrician`. 2. **Locations** — Enter cities or regions like `New York, USA`, `London, UK`, `Mumbai, India`. 3. **Max results** — Set how many places to return (up to 500). 4. **Toggle enrichment** — Enable or disable email extraction, social media, healthcare fields, and micro-niche classification independently. ### Input example ```json { "searchTerms": ["dental clinic", "dermatologist"], "locations": ["New York, USA", "Los Angeles, USA"], "maxResults": 100, "minRating": 4.0, "enrichEmails": true, "enrichSocials": true, "enrichHealthcare": true, "enrichMicroNiche": true } ``` ### Enrichment pipeline The scraper runs a 4-stage enrichment pipeline for each business: #### 1. Google Maps scraping Extracts name, category, address, phone, website, rating, reviews, hours, coordinates, and place ID directly from Google Maps search results. #### 2. Healthcare enrichment - **Specialty** — Extracted from Maps category tags and "About" section attributes. - **Insurance accepted** — Scanned from Maps attributes, then falls back to the business website (`/insurance`, `/billing`, `/patient-information` pages). - **Doctor count** — Visits team/staff pages on the business website and counts doctor credentials (Dr., MD, DO, MBBS) and profile cards. - **Review sentiment** — Clicks the Reviews tab on Maps, extracts up to 10 reviews, and runs keyword-based sentiment analysis. Returns a sentiment label (Positive/Mixed/Negative), a 0-100 score, top themes (waitTime, staffBehavior, cleanliness, billing, diagnosis), and representative snippets. #### 3. Micro-niche classification - **Online booking** — Checks for booking buttons on Maps and scans the website for booking platforms (Zocdoc, Calendly, Acuity, etc.). - **Metro area** — Classifies the business location against a curated database of metro areas across USA, UK, India, UAE, Australia, and Canada with tier rankings (1-3). - **Clinic type** — Classifies as `hospital`, `multi_specialty`, `group_practice`, `single_doctor`, or `unknown` based on name keywords, doctor count, and specialty count. #### 4. Contact enrichment - **Email** — Visits the business website and extracts the best email address using domain matching and scoring. Tries `/contact`, `/contact-us`, `/about`, `/about-us` pages as fallback. Filters out generic addresses (noreply, support, etc.). - **Social media** — Extracts Instagram, Facebook, LinkedIn, and Twitter/X profile links from the business website. ### Use cases - **Healthcare marketing agencies** — Build targeted lead lists of clinics by specialty, location, and online presence. - **Medical recruiters** — Find practices by doctor count and clinic type for recruitment outreach. - **Insurance networks** — Identify clinics accepting specific insurance plans for provider directory expansion. - **Health-tech SaaS** — Find clinics without online booking for sales prospecting. - **Market research** — Analyze healthcare density, sentiment, and competitive landscape by metro area. ### Proxy This actor requires **residential proxies** to avoid Google Maps blocks. Apify residential proxy is configured by default. For best results, use the `RESIDENTIAL` proxy group. ### Cost estimate Each Google Maps search page processes up to ~20 results. With all enrichment enabled, each business takes 20-40 seconds (website visits for email, insurance, doctor count). A typical run of 100 results with full enrichment uses approximately 0.5-1.0 compute units on Apify. ### Limitations - Google Maps may return different results based on proxy location. - Review sentiment analysis uses keyword matching (no LLM) — works best with 5+ reviews. - Insurance detection relies on keyword matching and may not capture all plans. - Metro area classification covers major metros in USA, UK, India, UAE, Australia, and Canada. # Actor input Schema ## `searchTerms` (type: `array`): Healthcare categories to search for on Google Maps (e.g. dental clinic, hospital, dermatologist, physiotherapy, pediatrician) ## `locations` (type: `array`): Cities, regions, or countries to search in (e.g. New York, USA or London, UK) ## `maxResults` (type: `integer`): Maximum number of places to scrape in total across all search term + location combinations ## `minRating` (type: `number`): Only include businesses with this Google rating or above (0 = no filter) ## `enrichEmails` (type: `boolean`): Visit each business website and extract the best email address (checks homepage, /contact, /about pages) ## `enrichSocials` (type: `boolean`): Extract Instagram, Facebook, LinkedIn, and Twitter/X profile links from business websites ## `enrichHealthcare` (type: `boolean`): Extract specialty, insurance accepted, doctor count, and patient review sentiment analysis from Google Maps and business websites ## `enrichMicroNiche` (type: `boolean`): Detect online booking (Zocdoc, Calendly, etc.), classify metro area tier, and categorize clinic type (single-doctor, group practice, multi-specialty, hospital) ## `proxyConfig` (type: `object`): Residential proxies recommended to avoid Google Maps blocks ## Actor input object example ```json { "searchTerms": [ "dental clinic", "hospital", "medical clinic", "physiotherapy", "dermatologist" ], "locations": [ "New York, USA" ], "maxResults": 100, "minRating": 0, "enrichEmails": false, "enrichSocials": false, "enrichHealthcare": false, "enrichMicroNiche": false, "proxyConfig": { "useApifyProxy": true } } ``` # Actor output Schema ## `defaultDataset` (type: `string`): Dataset containing scraped healthcare businesses with 35+ fields including contact info, social media, insurance, doctor count, review sentiment, booking detection, metro classification, and clinic type. # 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 = { "searchTerms": [ "dental clinic", "hospital", "medical clinic", "physiotherapy", "dermatologist" ], "locations": [ "New York, USA" ], "maxResults": 100, "minRating": 0 }; // Run the Actor and wait for it to finish const run = await client.actor("mukeshrana90/healthcare-google-maps-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 = { "searchTerms": [ "dental clinic", "hospital", "medical clinic", "physiotherapy", "dermatologist", ], "locations": ["New York, USA"], "maxResults": 100, "minRating": 0, } # Run the Actor and wait for it to finish run = client.actor("mukeshrana90/healthcare-google-maps-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 '{ "searchTerms": [ "dental clinic", "hospital", "medical clinic", "physiotherapy", "dermatologist" ], "locations": [ "New York, USA" ], "maxResults": 100, "minRating": 0 }' | apify call mukeshrana90/healthcare-google-maps-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=mukeshrana90/healthcare-google-maps-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Healthcare Google Maps Scraper", "description": "Scrape healthcare clinics from Google Maps with email, social media, insurance, doctor count, review sentiment, online booking detection, metro area classification, and clinic type. 35+ fields per result, CRM-ready output.", "version": "0.0", "x-build-id": "egV7ezpVEqv7w3jES" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/mukeshrana90~healthcare-google-maps-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-mukeshrana90-healthcare-google-maps-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/mukeshrana90~healthcare-google-maps-scraper/runs": { "post": { "operationId": "runs-sync-mukeshrana90-healthcare-google-maps-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/mukeshrana90~healthcare-google-maps-scraper/run-sync": { "post": { "operationId": "run-sync-mukeshrana90-healthcare-google-maps-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchTerms": { "title": "Search terms", "type": "array", "description": "Healthcare categories to search for on Google Maps (e.g. dental clinic, hospital, dermatologist, physiotherapy, pediatrician)", "default": [ "dental clinic" ], "items": { "type": "string" } }, "locations": { "title": "Locations", "type": "array", "description": "Cities, regions, or countries to search in (e.g. New York, USA or London, UK)", "default": [ "New York, USA" ], "items": { "type": "string" } }, "maxResults": { "title": "Max results per search", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of places to scrape in total across all search term + location combinations", "default": 100 }, "minRating": { "title": "Minimum rating filter", "minimum": 0, "maximum": 5, "type": "number", "description": "Only include businesses with this Google rating or above (0 = no filter)", "default": 0 }, "enrichEmails": { "title": "Extract emails", "type": "boolean", "description": "Visit each business website and extract the best email address (checks homepage, /contact, /about pages)", "default": false }, "enrichSocials": { "title": "Extract social media links", "type": "boolean", "description": "Extract Instagram, Facebook, LinkedIn, and Twitter/X profile links from business websites", "default": false }, "enrichHealthcare": { "title": "Healthcare enrichment", "type": "boolean", "description": "Extract specialty, insurance accepted, doctor count, and patient review sentiment analysis from Google Maps and business websites", "default": false }, "enrichMicroNiche": { "title": "Micro-niche classification", "type": "boolean", "description": "Detect online booking (Zocdoc, Calendly, etc.), classify metro area tier, and categorize clinic type (single-doctor, group practice, multi-specialty, hospital)", "default": false }, "proxyConfig": { "title": "Proxy configuration", "type": "object", "description": "Residential proxies recommended to avoid Google Maps blocks", "default": { "useApifyProxy": 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 } } } } } } } } } } ```