# Hotel Email Scraper (`contacts-api/hotel-email-scraper`) Actor Hotel email scraper to extract verified hotel emails from hotel websites, travel directories, and business listings 📧🏨 Perfect for travel outreach, partnerships, and hospitality industry lead generation. Fast, accurate, and scalable. - **URL**: https://apify.com/contacts-api/hotel-email-scraper.md - **Developed by:** [Lead Heaven](https://apify.com/contacts-api) (community) - **Categories:** Lead generation, Travel, Automation - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ### 🏨 Hotel Email Scraper — Find Verified Leads in Minutes > The fastest way to build a targeted hotel email list. This actor searches Google Maps for hotels and hospitality businesses in any city, crawls their websites, and extracts verified emails, phone numbers, and social media profiles — all in one clean, export-ready dataset for high-intent hotel leads. --- #### 🚀 Quick Start 1. Enter your search term — e.g., "Hotel", "boutique hotel", "resort" 2. Add one or more target locations — e.g., "New York", "Miami, Florida" 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. Use it as your hotel email extractor, hotel contact scraper, and hotel lead finder in one streamlined run. --- #### 💡 What Is the Hotel Email Scraper? The Hotel Email Scraper is a purpose-built lead generation and contact discovery tool designed for: - Hospitality marketing teams and OTAs - Travel tech startups and booking platforms - B2B outreach professionals - Event planners and corporate travel managers - Researchers and data analysts It combines Google Maps listing discovery with deep website crawling to extract publicly available contact data — producing an accurate, deduplicated hotel list ready for immediate use. Whether you need a hotel lead finder for sales prospecting, a hotel contact finder for outreach, or a hotel data scraper for enrichment, this actor covers discovery and extraction end-to-end. Use the hotel email scraper as a hotel email finder, a hotel lead scraper, or a hotel contact scraper depending on your workflow. You’ll get structured records with verified hotel email addresses, phones, and social links in minutes. --- #### 📦 What Data Does It Extract? | Field | Description | |---|---| | Business Name | Hotel, resort, or lodging 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 hotel email addresses discovered during crawl | | 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 | The output is optimized for hotel leads workflows and can power CRMs, email automation tools, or internal dashboards. --- #### ⚙️ Input Configuration ##### Minimal Example ```json { "googleMapsSearchTerm": "Hotel", "googleMapsLocation": ["New York"] } ```` ##### Full Example with All Options ```json { "googleMapsSearchTerm": "Hotel", "googleMapsLocation": [ "New York", "Miami, Florida", "Los Angeles, California" ], "maxBusinesses": 200, "scrapeMaxBusinessesPerLocation": true, "proxyConfiguration": { "useApifyProxy": true } } ``` ##### Input Parameters | Parameter | Type | Required | Description | |---|---|---|---| | `googleMapsSearchTerm` | String | ✅ Yes | Business type to search — e.g., "Hotel", "resort", "boutique hotel" | | `googleMapsLocation` | Array | ✅ Yes | One or more locations — e.g., \["New York", "Miami, Florida"] | | `maxBusinesses` | Number | ❌ No | Max businesses with emails to return (1–1,000). The run stops once reached | | `scrapeMaxBusinessesPerLocation` | Boolean | ❌ No | If true, applies the cap per location. If false, it’s a combined total | | `proxyConfiguration` | Object | ❌ No | Proxy settings. Strongly recommended for large runs | *** #### 📤 Sample Output ```json [ { "name": "The Midtown Boutique Hotel", "website": "https://www.midtownboutiquehotel.com", "phone": "+1 212-555-0147", "full_address": "125 W 44th St, New York, NY 10036, United States", "city": "New York", "state": "NY", "zip": "10036", "country_code": "US", "scraped_emails": [ "info@midtownboutiquehotel.com", "sales@midtownboutiquehotel.com" ], "scraped_phones": ["+1 212-555-0147", "+1 212-555-0162"], "scraped_social_media": [ "facebook:https://facebook.com/midtownboutiquehotel", "instagram:https://instagram.com/midtownboutiquehotel", "linkedin:https://www.linkedin.com/company/midtown-boutique-hotel/" ], "emails_found": 2, "pages_scraped": 18, "avg_rating": 4.6, "total_reviews": 834, "lat": 40.7562, "long": -73.9845, "place_id": "ChIJx-EXAMPLEID", "scrape_status": "success" } ] ``` *** #### 🔧 How It Works — Under the Hood ``` Step 1 → Search Google Maps using your term + location Step 2 → Collect hotel listings (name, address, phone, website) Step 3 → Visit each website and crawl key pages (Home, Contact, About, Footer) Step 4 → Extract public emails, phone numbers, and social media links Step 5 → Deduplicate, normalize, and validate contact data Step 6 → Return structured results ready for export or API consumption ``` Use the hotel email scraper as both a discovery engine and a hotel email extractor for contact data in a single automated pipeline. *** #### ✨ Key Features ##### 🎯 Precise Location Targeting Pinpoint hotels in cities, states, or regions you care about. Build hyper-local hotel leads for targeted campaigns. ##### 🔍 Deep Website Crawl Goes beyond the listing. Crawls homepages, contact pages, about pages, and footers to surface every available public hotel email and phone number. ##### 🌎 Multi-Location Scaling Run across dozens of cities at once. Choose a combined cap or a per-location cap — ideal for creating a multi-market hotel list efficiently. ##### 🧹 Smart De-Duplication Automatically removes duplicate emails per domain so your data stays clean — perfect for any hotel email finder or hotel lead scraper workflow. ##### 📊 Structured, CRM-Ready Output Results are normalized with consistent field names. Drop them straight into HubSpot, Salesforce, Apollo, Instantly, or any outreach tool. ##### 🛡️ Proxy-Ready for Reliability Built-in proxy support enables stable, large-scale runs without rate-limiting or IP blocks — essential for agency-level hotel leads campaigns. ##### ⏱️ Stop at Your Target The actor halts as soon as your maxBusinesses limit is reached — no wasted compute, no overage. ##### 🔄 Schedulable & Repeatable Run daily, weekly, or monthly to continuously grow and refresh your hotel list and keep your hotel leads pipeline full. *** #### 🎯 Use Cases ##### 💼 B2B Outreach & Sales Build pitch lists for group bookings, events, and partnerships. Use it as a hotel lead finder and hotel contact finder to fuel cold email sequences. ##### 🧳 Travel Tech & Marketplaces Enrich supply-side records with emails and phones. The hotel data scraper provides structured contact data for onboarding and verification. ##### 📣 Hospitality Marketing Create geo-targeted campaigns with verified hotel email contacts and social links pulled directly from hotel websites. ##### 🧩 Partnerships & Vendor Sales Identify hotels for vendor services (PMS, channel managers, amenities, staffing). Your hotel lead scraper keeps discovery and extraction automated. ##### 📚 Research & Competitive Intelligence Compile regional hotel lists to analyze market density, ratings, and review volumes alongside contact data. ##### 🏢 Agency Client Delivery Run scheduled scrapes and deliver fresh hotel leads to clients weekly. White-label friendly workflows supported. *** #### 📈 How Many Results Can You Get? Scale from a small prospect list to a large regional database — results depend on: - Number of locations added - Search term breadth (e.g., “Hotel” vs. “boutique hotel”) - Website density and email visibility in each market - maxBusinesses setting and per-location vs. combined mode - Proxy configuration and run timeout ##### Typical Output Ranges | Campaign Size | Businesses with Emails | |---|---| | Small (1–3 cities) | 20 – 100 | | Medium (5–15 cities) | 200 – 600 | | Large (20+ cities / states) | 800 – 1,000+ per run | Run multiple times across different regions to continuously grow your hotel list without hitting hard limits. *** #### 🔌 Integrations & Export Options Once your run completes, you can: | Option | Details | |---|---| | 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 hotel leads are found | | Webhooks | Push results to your CRM or pipeline on run completion | Plug directly into Instantly, Smartlead, Apollo, HubSpot, Salesforce, or any outreach platform that accepts CSV/JSON imports. Use the output from your hotel email extractor and hotel contact scraper with zero reformatting. *** #### 🛠️ Step-by-Step Usage Guide Step 1 — Log in to Apify\ Create a free account or sign in at apify.com. Step 2 — Open the Actor\ Search for “hotel email scraper” in the Apify Store and click Try for free. Step 3 — Set Your Search Term\ Enter “Hotel” or a niche variant like “resort”, “boutique hotel”, or “airport hotel”. Step 4 — Add Target Locations\ Enter one or more city/state combos — e.g., “New York”, “Miami, Florida”. Step 5 — Set Your Limit\ Choose how many businesses with emails you want — 20 for a quick test, up to 1,000 for a full campaign. Step 6 — Choose Scaling Strategy - Combined cap: The total across all locations combined - Per-location cap: Applies your limit independently to each city Step 7 — Enable Proxies\ Enable Apify Proxy for stable, uninterrupted crawling at scale. Step 8 — Run 🚀\ Click Start and let the hotel email scraper do the work. Step 9 — Export\ Download as JSON, CSV, or Excel — or pull via API straight into your stack. *** #### ⚖️ Legal & Compliance This actor collects only publicly available business contact information — emails and phone numbers published openly on hotel 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: | Regulation | Region | |---|---| | GDPR | European Union | | CAN-SPAM Act | United States | | CASL | Canada | | PECR | United Kingdom | This tool is intended for ethical business prospecting only. You are responsible for how you use the data collected with your hotel email campaigns and hotel leads workflows. *** #### ❓ Frequently Asked Questions Q: Does this collect private or personal emails?\ A: No. The actor only extracts hotel email addresses that are publicly visible on business websites — general inquiry inboxes, sales/reservations, admin, and departmental contacts. 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. Q: Does it deduplicate results?\ A: Yes. Emails are deduplicated per domain to keep your hotel list clean and accurate. Q: Can I schedule recurring runs?\ A: Absolutely. Use Apify’s built-in scheduler to run weekly or monthly and keep your hotel leads fresh. Q: Which niches does the search term support?\ A: Any Google Maps searchable term — try “resort”, “hostel”, “boutique hotel”, “serviced apartments”, or “conference hotel”. Q: Are proxies required?\ A: Not for small runs, but strongly recommended for 200+ business runs to avoid rate limits and ensure stability with the hotel data scraper. Q: What export formats are available?\ A: JSON, CSV, and Excel. You can also consume results via the Apify API or webhook. Q: How is this different from manual Google searching?\ A: Manual search is slow and doesn’t extract emails at scale. This hotel contact finder automates discovery and contact extraction end-to-end in minutes. Q: Can agencies white-label or resell this?\ A: Yes. Run it on behalf of clients and deliver fresh hotel leads on a recurring basis. *** #### 🧑‍💻 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 (e.g., resorts, hostels, serviced apartments) - Bulk or enterprise run support - Integration assistance with CRMs and outreach tools 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": "Hotel", "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": "Hotel", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("contacts-api/hotel-email-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 = { "googleMapsSearchTerm": "Hotel", "googleMapsLocation": ["New York"], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("contacts-api/hotel-email-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 '{ "googleMapsSearchTerm": "Hotel", "googleMapsLocation": [ "New York" ], "maxBusinesses": 5, "proxyConfiguration": { "useApifyProxy": true } }' | apify call contacts-api/hotel-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=contacts-api/hotel-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Hotel Email Scraper", "description": "Hotel email scraper to extract verified hotel emails from hotel websites, travel directories, and business listings 📧🏨 Perfect for travel outreach, partnerships, and hospitality industry lead generation. Fast, accurate, and scalable.", "version": "1.0", "x-build-id": "PchOZQTqxMHPK9nLf" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/contacts-api~hotel-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-contacts-api-hotel-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~hotel-email-scraper/runs": { "post": { "operationId": "runs-sync-contacts-api-hotel-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~hotel-email-scraper/run-sync": { "post": { "operationId": "run-sync-contacts-api-hotel-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": "Hotel" }, "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 } } } } } } } } } } ```