# Urologist Email Scraper (`contacts-api/urologist-email-scraper`) Actor Urologist email scraper to extract verified urologist emails from hospitals, clinics, and healthcare directories πŸ“§πŸ©Ί Perfect for healthcare outreach, recruitment, and targeted medical lead generation. - **URL**: https://apify.com/contacts-api/urologist-email-scraper.md - **Developed by:** [Lead Heaven](https://apify.com/contacts-api) (community) - **Categories:** Lead generation, Automation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.99 / 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 ### 🩺 Urologist Email Scraper β€” Find Verified Leads in Minutes > The fastest way to build a targeted urologist list. This urologist email scraper searches Google Maps for urology practices across your chosen locations, crawls their websites, and extracts verified urologist email addresses, phone numbers, and social media profiles β€” all in one clean, export-ready dataset. Use it as your urologist lead finder to generate high-intent urologist leads for outreach. --- #### πŸš€ Quick Start 1. Enter your search term β€” e.g., "Urologist" 2. Add one or more target locations β€” e.g., "New York", "Chicago, Illinois" 3. Set your desired number of businesses with emails 4. Hit Run and get your results in minutes No coding required. Export to CSV, JSON, or Excel instantly. --- #### πŸ’‘ What Is The Urologist Email Scraper? The Urologist Email Scraper is a purpose-built lead generation and contact discovery tool for: - Medical device and pharma sales teams - Healthcare marketing and agency teams - Staffing and recruiting specialists - Researchers and data analysts It combines Google Maps listing discovery with deep website crawling to extract publicly available contact information, delivering a verified urologist list for immediate use. Whether you’re looking for a urologist email finder, a urologist email extractor, a urologist lead scraper, or a urologist contact scraper, this all-in-one workflow covers discovery and extraction in a single run. Use it as: - A urologist contact finder to locate practice contact points fast - A urologist data scraper to normalize results for your CRM - A reliable engine to capture urologist email details and build targeted campaigns --- #### πŸ“¦ What Data Does It Extract? | Field | Description | |---|---| | Business Name | Practice or clinic name from Google Maps | | Website | Official website URL | | Phone | Primary phone from the listing or website | | Full Address | Complete address as listed | | City / State / ZIP | Parsed location components | | Country Code | ISO country code where available | | Emails | All public urologist email addresses extracted from website pages | | Additional Phones | Extra phone numbers discovered during crawl | | Social Media Links | Facebook, Instagram, LinkedIn, Twitter/X, and more | | Email Count | Total unique emails found per business | | Pages Scraped | Number of website pages crawled per domain | | Rating | Average Google Maps star rating | | Reviews | Total number of Google reviews | | Latitude / Longitude | Geo-coordinates for mapping and filtering | | Place ID | Google Maps place identifier | | Scrape Status | Per-record status: success, partial, or error | --- #### βš™οΈ Input Configuration ##### Minimal Example ```json { "googleMapsSearchTerm": "Urologist", "googleMapsLocation": ["New York"], "maxBusinesses": 50 } ```` ##### Full Example With All Options ```json { "googleMapsSearchTerm": "Urologist", "googleMapsLocation": [ "New York", "Chicago, Illinois", "Miami, Florida" ], "maxBusinesses": 200, "scrapeMaxBusinessesPerLocation": true, "proxyConfiguration": { "useApifyProxy": true } } ``` ##### Input Parameters | Parameter | Type | Required | Description | |---|---|---|---| | googleMapsSearchTerm | String | Yes | Business type to search β€” e.g., "Urologist", "urology clinic" | | googleMapsLocation | Array | Yes | One or more locations β€” e.g., \["New York", "Chicago, Illinois"] | | maxBusinesses | Number | No | Max businesses with emails to return (1–1,000). The actor stops upon reaching this target | | scrapeMaxBusinessesPerLocation | Boolean | No | If true, applies the cap per location. If false, cap is combined across all locations | | proxyConfiguration | Object | No | Proxy settings. Strongly recommended for large runs | *** #### πŸ“€ Sample Output ```json [ { "name": "Metropolitan Urology Clinic", "website": "https://www.metrourologyclinic.com", "phone": "+1 212-555-0188", "full_address": "245 W 57th St, New York, NY 10019, United States", "city": "New York", "state": "NY", "zip": "10019", "country_code": "US", "scraped_emails": [ "info@metrourologyclinic.com", "appointments@metrourologyclinic.com" ], "scraped_phones": ["+1 212-555-0188", "+1 212-555-0142"], "scraped_social_media": [ "facebook:https://facebook.com/metrourologyclinic", "linkedin:https://linkedin.com/company/metro-urology-clinic" ], "emails_found": 2, "pages_scraped": 12, "avg_rating": 4.7, "total_reviews": 86, "lat": 40.7652, "long": -73.9803, "place_id": "ChIJEXAMPLEPLACEID", "scrape_status": "success" } ] ``` *** #### πŸ”§ How It Works β€” Under The Hood Step 1 β†’ Search Google Maps using your term + location\ Step 2 β†’ Collect business listings (name, address, phone, website)\ Step 3 β†’ Visit each website and crawl key pages (Home, Contact, About, etc.)\ Step 4 β†’ Extract public emails, phone numbers, and social media links\ Step 5 β†’ Deduplicate and normalize all contact data\ Step 6 β†’ Return structured results ready for export or API consumption This pipeline functions as both a discovery engine and a urologist email scraper for fast, accurate contact extraction. *** #### ✨ Key Features ##### 🎯 Precise Location Targeting Target any city, state, or region. Pinpoint practices where you want to sell or research, and generate qualified urologist leads with hyper-local relevance. ##### πŸ” Deep Website Crawl & Parsing Goes beyond listings by crawling homepages, contact pages, about pages, and footers to surface every available public urologist email and phone number. Acts as a reliable urologist email extractor for clinic domains. ##### 🧭 Multi-Mode: Finder + Scraper Use it as a urologist email finder to discover contact points and as a urologist lead scraper to collect structured contacts at scale. Perfect for outreach, recruiting, and research. ##### 🧹 Smart De-Duplication Automatically removes duplicate emails per domain and normalizes formatting so your urologist list stays clean, consistent, and ready for upload. ##### πŸ“Š CRM-Ready Output Normalized fields for easy import into HubSpot, Salesforce, Apollo, Instantly, or any outreach stack. Your urologist data scraper results are clean and consistent. ##### 🌍 Multi-Location Scaling Run dozens of cities at once with combined or per-location caps. Ideal for agencies and teams building large regional datasets of urologist leads. ##### πŸ›‘οΈ Proxy-Ready For Reliability Built-in proxy support helps avoid IP blocks and rate limiting during large crawls β€” ensuring your urologist contact scraper runs smoothly. ##### ⏱️ Stop At Your Target Set maxBusinesses and the run will halt at your goal β€” no wasted compute, no overage. Great for predictable campaigns with a urologist lead finder workflow. ##### πŸ”„ Schedulable & Repeatable Schedule recurring runs to keep your urologist list fresh. The cadence-friendly design supports continuous pipeline operations. *** #### 🎯 Use Cases ##### πŸ’Ό B2B Outreach & Sales Build prospecting lists for medical device suppliers and pharma teams. Turn the tool into your urologist contact finder to identify clinics for campaigns and convert new urologist leads quickly. ##### πŸ§‘β€βš•οΈ Staffing & Recruiting Source clinics and departments for talent outreach. The urologist lead scraper workflow helps recruiters reach administrators and hiring contacts. ##### πŸ“£ Local & Regional Marketing Deploy geo-targeted campaigns with verified urologist email addresses and phones pulled directly from clinic websites. ##### 🀝 Partnerships & Referrals Identify complementary healthcare providers for referral networks β€” GPs, oncology centers, men’s health clinics β€” using the urologist email finder to reach decision makers. ##### πŸ“š Research & Market Mapping Use the urologist data scraper functionality to map regional practice density and benchmark market segments while exporting a structured urologist list. *** #### πŸ“ˆ How Many Results Can You Get? Scale from a small prospect list to a broad multi-city dataset β€” results depend on: - Number and diversity of locations - Search term breadth (niche vs. general) - Website density and email visibility in target markets - maxBusinesses setting and per-location vs. combined mode - Proxy configuration and run timeout Typical Output Ranges - Small (1–3 cities): 20–100 businesses with emails - Medium (5–15 cities): 200–600 businesses with emails - Large (20+ cities/states): 800–1,000+ per run Run across different regions to continuously grow your urologist leads without hitting hard platform limits. *** #### πŸ”Œ Integrations & Export Options Once your run completes, you can: - JSON: Full structured data download - CSV / Excel: Import directly into spreadsheets - Apify API: Stream results into your own apps or workflows - Zapier / Make: Trigger automations when new leads are found - Webhooks: Push results to your CRM or pipeline on run completion Plug directly into Instantly, Smartlead, Apollo, HubSpot, Salesforce, or any platform that accepts CSV/JSON imports. *** #### πŸ› οΈ Step-By-Step Usage Guide Step 1 β€” Log In To Apify\ Create a free account or sign in at apify.com. Step 2 β€” Open The Actor\ Search for "Urologist Email Scraper" in the Apify Store and click Try for free. Step 3 β€” Set Your Search Term\ Enter "Urologist" or a variant like "urology clinic" or "male urology specialist". Step 4 β€” Add Target Locations\ Enter one or more cities/regions β€” e.g., "New York", "Chicago, Illinois", "Miami, Florida". Step 5 β€” Set Your Limit\ Choose how many businesses with emails you want β€” 20 for a quick test, up to 1,000 for a full campaign. Step 6 β€” Choose Scaling Strategy - Combined cap: Total across all locations - Per-location cap: Applies your limit independently to each city Step 7 β€” Enable Proxies\ Turn on Apify Proxy for stable, uninterrupted crawling at scale. Step 8 β€” Run πŸš€\ Click Start and let the Urologist Email Scraper do the work. Step 9 β€” Export\ Download as JSON, CSV, or Excel β€” or pull via API into your stack. *** #### βš–οΈ Legal & Compliance This actor collects only publicly available business contact information β€” emails and phone numbers published openly on websites. Best practices to stay compliant: - Only use publicly visible contact data - Do not bypass login walls or paywalls - Respect each website’s robots.txt and Terms of Service - Include an unsubscribe option in all outreach - Follow applicable laws in your jurisdiction Relevant regulations to be aware of: - GDPR β€” European Union - CAN-SPAM Act β€” United States - CASL β€” Canada - PECR β€” United Kingdom This tool is intended for ethical business prospecting only. You are responsible for how you use the data collected. *** #### ❓ Frequently Asked Questions Q: Does this scrape private or personal emails?\ A: No. The actor only extracts urologist email addresses that are publicly visible on clinic or practice websites. Q: Can I search multiple cities in one run?\ A: Yes. Add as many locations as needed. Use per-location capping for even geographic distribution and more balanced urologist leads. Q: What’s the difference between finder and scraper modes?\ A: In practice, the actor does both. It works as a urologist lead finder by discovering listings and as a urologist lead scraper by extracting structured contact data from websites. Q: Does it deduplicate results?\ A: Yes. Emails are deduplicated per domain so your urologist list remains clean and ready for import. Q: Is proxy usage required?\ A: Not for small runs, but strongly recommended for 200+ businesses to avoid rate limits and keep the urologist contact scraper pipeline reliable. Q: Can I integrate with my CRM or email platform?\ A: Yes. Export CSV/JSON or stream via API into HubSpot, Salesforce, Apollo, Instantly, and more. It’s ideal for feeding urologist leads directly into sequences. Q: Can it find department or admin inboxes?\ A: Often yes. The urologist email finder will capture general inquiry and administrative inboxes that are publicly listed (e.g., info@, appointments@). Q: How is this different from manual research?\ A: Manual searching is slow and inconsistent. By automating discovery and extraction, this urologist data scraper and urologist email extractor completes hours of work in minutes. Q: What niches does the search term support?\ A: Any Google Maps-searchable phrase β€” try "urology clinic", "male health urology", "pediatric urologist", or "urology center". *** #### πŸ§‘β€πŸ’» Support & Custom Solutions Have a question, feature request, or need a custom build? Email: scrapermindapi@gmail.com We’re happy to help with: - Custom input/output configurations - Niche-specific adaptations - Bulk or enterprise run support - Integration assistance Built for sales teams, recruiters, and researchers who need accurate urologist leads at scale β€” fast. Use this urologist email scraper to automate outreach-ready data collection and grow your urologist list with confidence. For any help or custom solution, contact via this mail: scrapermindapi@gmail.com # Actor input Schema ## `googleMapsSearchTerm` (type: `string`): Enter the business type or niche for email scraper (e.g., 'coffee shops', 'dentists'). ## `googleMapsLocation` (type: `array`): Target geographic location for the email scraper (e.g., 'Miami, Florida'). ## `maxBusinesses` (type: `integer`): Target number of businesses to find (1-1000). The scraper will stop when this target is reached. ## `scrapeMaxBusinessesPerLocation` (type: `boolean`): If enabled, the scraper will collect up to `maxBusinesses` results per location. If disabled, it combines all locations up to a single total limit. ## `proxyConfiguration` (type: `object`): Proxy settings for scraping. Recommended for large-scale scraping. ## Actor input object example ```json { "googleMapsSearchTerm": "Urologist", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "scrapeMaxBusinessesPerLocation": false, "proxyConfiguration": { "useApifyProxy": 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 = { "googleMapsSearchTerm": "Urologist", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("contacts-api/urologist-email-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 = { "googleMapsSearchTerm": "Urologist", "googleMapsLocation": ["New York"], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("contacts-api/urologist-email-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 '{ "googleMapsSearchTerm": "Urologist", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }' | apify call contacts-api/urologist-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=contacts-api/urologist-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Urologist Email Scraper", "description": "Urologist email scraper to extract verified urologist emails from hospitals, clinics, and healthcare directories πŸ“§πŸ©Ί Perfect for healthcare outreach, recruitment, and targeted medical lead generation.", "version": "1.0", "x-build-id": "PrXxZrAivqh2wtwTw" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/contacts-api~urologist-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-contacts-api-urologist-email-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/contacts-api~urologist-email-scraper/runs": { "post": { "operationId": "runs-sync-contacts-api-urologist-email-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/contacts-api~urologist-email-scraper/run-sync": { "post": { "operationId": "run-sync-contacts-api-urologist-email-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": [ "googleMapsLocation", "googleMapsSearchTerm" ], "properties": { "googleMapsSearchTerm": { "title": "Search Term", "type": "string", "description": "Enter the business type or niche for email scraper (e.g., 'coffee shops', 'dentists').", "default": "Urologist" }, "googleMapsLocation": { "title": "Location", "type": "array", "description": "Target geographic location for the email scraper (e.g., 'Miami, Florida').", "default": [ "New York" ], "items": { "type": "string" } }, "maxBusinesses": { "title": "Maximum Businesses With Emails", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Target number of businesses to find (1-1000). The scraper will stop when this target is reached.", "default": 5 }, "scrapeMaxBusinessesPerLocation": { "title": "Scrape Max Businesses Per Location", "type": "boolean", "description": "If enabled, the scraper will collect up to `maxBusinesses` results per location. If disabled, it combines all locations up to a single total limit.", "default": false }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for scraping. Recommended for large-scale scraping." } } }, "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 } } } } } } } } } } ```