# Hotel & Host Leads Scraper - Email + Booking Tech Stack (`oriented_wallpaper/hotel-host-leads-scraper`) Actor Find hotels, guest houses & B\&Bs by city and get contactable host/owner leads enriched with their tech stack: channel managers/PMS (SiteMinder, Cloudbeds, Mews, Guesty) and OTA presence (Booking.com, Expedia, Airbnb, Vrbo). Includes name, stars, phone, website & email. No API key. - **URL**: https://apify.com/oriented\_wallpaper/hotel-host-leads-scraper.md - **Developed by:** [Flash Scrape](https://apify.com/oriented_wallpaper) (community) - **Categories:** Lead generation, Travel, Automation - **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.90 / 1,000 hotel / host leads This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 & Host Leads Scraper — build a hotel owner contact list by city, enriched with booking tech stack Get a **hotel owner contact list** for any city in minutes: hotels, guest houses, B&Bs and vacation rental host leads, each enriched with a contact **email crawled from the property's own website** and its **hospitality tech stack** — channel manager / PMS and OTA presence. No API key, no residential proxies, and you pay only per lead actually returned. ### What does it do? This actor finds **accommodations by city** using OpenStreetMap (Nominatim geocoding + the Overpass API), then **crawls each property's own website** (home, contact, about, booking and rooms pages) to extract contact emails, Facebook and Instagram profiles, and two premium signals no plain directory scraper gives you: - **Channel manager / PMS detection** — SiteMinder, Cloudbeds, Mews, Guesty, Lodgify, Little Hotelier, Hostfully, Sirvoy, Beds24, eviivo, RoomRaccoon - **OTA presence detection** — Booking.com, Expedia, Airbnb, Vrbo, Hotels.com, Tripadvisor, Hostelworld, Agoda On top of that, every lead carries the listing basics: name, accommodation type (hotel / guest house / B&B / motel — optionally hostels, serviced apartments and chalets), star rating and room count where OpenStreetMap has them, full parsed address, phone, website, and coordinates. Results are deduped by name + address + website, and `has_email` / `has_phone` / `has_website` flags make filtering in a spreadsheet trivial. ### Use cases - **Channel-manager and PMS sales teams** (SiteMinder, Cloudbeds, Mews competitors) prospecting independent properties **not yet showing a channel-manager signal** — the classic greenfield pitch — or already on a rival's platform for a "switch" campaign. - **STR and vacation-rental software vendors** building city-by-city lists of guest houses and B&Bs — small hosts who book direct today and are the ideal upgrade target. - **OTA and metasearch BD teams** finding properties with a website but no Booking.com / Expedia / Airbnb footprint, i.e. inventory a competitor hasn't signed yet. - **Hospitality marketing agencies** cold-emailing hotels with weak digital setups (no booking engine, no OTA links) with a "we'll fix your direct bookings" angle. - **CRM enrichment** — re-run monthly per market and merge on `osm_id` to keep owner emails and tech-stack fields fresh in your pipeline. ### Input | Field | Type | Default | Description | |---|---|---|---| | `location` | string | *(required)* | City and region/country to search, e.g. 'Marrakesh, Morocco', 'Lisbon, Portugal', 'Austin, Texas'. | | `includeHostels` | boolean | `false` | Also include hostels. | | `includeApartments` | boolean | `false` | Also include tourism apartments / aparthotels. | | `includeChalets` | boolean | `false` | Also include chalets. | | `maxItems` | integer | `100` | Maximum number of accommodations to return (1–1000). | | `crawlEmails` | boolean | `true` | Visit each property's own website to extract contact emails and detect its channel manager / PMS and OTA presence. Turn off for a faster, listing-only run. | | `onlyWithWebsite` | boolean | `false` | Drop accommodations with no website (required for email + tech-stack enrichment). | | `onlyWithEmail` | boolean | `false` | Keep only properties where an email was found (best for cold email). | | `maxPagesPerSite` | integer | `3` | How many pages (home, contact, about, booking...) to crawl per website while looking for an email (1–8). | | `concurrency` | integer | `8` | How many websites to crawl in parallel (1–20). | Example input: ```json { "location": "Marrakesh, Morocco", "maxItems": 100, "crawlEmails": true, "onlyWithWebsite": false, "onlyWithEmail": false, "maxPagesPerSite": 3, "concurrency": 8 } ```` Only `location` is required — everything else has a sensible default. ### Output Each dataset row is one accommodation lead. Export to CSV, JSON, or Excel, or pull it via the Apify API. ```json { "name": "Riad Dar Anika", "type": "guest_house", "stars": "4", "rooms": "8", "address": "23 Derb El Ferrane, Medina", "city": "Marrakesh", "state": null, "postal_code": "40000", "country": "MA", "phone": "+212 5 24 38 00 00", "website": "https://www.riaddaranika.com", "email": "contact@riaddaranika.com", "emails": ["contact@riaddaranika.com", "booking@riaddaranika.com"], "facebook": "https://www.facebook.com/riaddaranika", "instagram": "https://www.instagram.com/riaddaranika", "channel_manager": ["Cloudbeds"], "ota_presence": ["Booking.com", "Tripadvisor"], "tech_signals": ["Cloudbeds", "Booking.com", "Tripadvisor"], "latitude": 31.6295, "longitude": -7.9811, "osm_type": "node", "osm_id": 123456789, "source": "openstreetmap", "has_email": true, "has_phone": true, "has_website": true } ``` `email` is the primary contact address (listing email, or the first one found on the site); `emails` holds every address discovered while crawling. `tech_signals` is `channel_manager` + `ota_presence` flattened for one-column filtering. ### Pricing This actor uses **Apify pay-per-event pricing**: you're charged per lead returned, via a `result` event fired once per accommodation in the dataset. No subscription, no charge for empty runs — if a city yields nothing, you pay nothing. A **free Apify plan is enough to try it**: run a mid-size city and inspect the emails and tech signals before spending anything. See the actor's Pricing tab for the current per-result rate. ### Tips & FAQ #### Where does the data come from? Discovery uses **OpenStreetMap** (Nominatim + Overpass) queried live at run time; enrichment crawls each property's **own public website** live during the run. Nothing comes from a cached database, so emails and tech signals reflect what's online today. #### Why OpenStreetMap and not Booking.com? Booking.com is heavily bot-protected and scraping it requires expensive residential proxies. OpenStreetMap gives the same sellable core — accommodation owner contacts by city — reliably and cheaply, and the website crawl adds the emails and tech signals Booking.com wouldn't expose anyway. The trade-off: coverage depends on how well-mapped a city is. Major tourist destinations are mapped very thoroughly; a rural area may return fewer properties than actually exist. #### How accurate is the tech-stack detection? Detection is signal-based: the crawler looks for platform-specific domains and script references (e.g. `cloudbeds`, `siteminder`, `booking.com`) in each site's HTML. It's reliable when the platform has a public-facing widget or link on the site. A property using a PMS purely in the back office, with no embed on its website, won't show a signal — treat an empty `channel_manager` as "no public signal", not proof of no system. #### Why do some properties have no email? Not every property lists an email on its website, and some have no website at all. Set `onlyWithEmail: true` to keep the output cold-email-ready, and raise `maxPagesPerSite` to dig deeper into larger sites. Verify the addresses with the [Bulk Email Verifier](https://apify.com/oriented_wallpaper/email-verifier) before sending a campaign. #### Do I need an API key or proxies? No. Both OpenStreetMap and the property websites are queried directly — no API keys, no anti-bot bypass, and it runs fine on datacenter IPs. #### Is it legal? The actor only reads **publicly available data**: OpenStreetMap listings and each property's own public web pages. It doesn't log in or bypass any access controls. Follow applicable outreach laws (CAN-SPAM, GDPR, etc.) when you contact the leads. ### Related actors - [Bulk Email Verifier](https://apify.com/oriented_wallpaper/email-verifier) — verify and score every scraped email before you send a campaign - [Restaurant Leads Scraper](https://apify.com/oriented_wallpaper/restaurant-leads-scraper) — the same enrichment approach for restaurants, with POS / reservation / delivery stack detection - [Local Business Leads](https://apify.com/oriented_wallpaper/local-business-leads) — any local business category by city, with website platform detection Found a bug or need a feature? Open an issue on the actor's **Issues tab** — typical response within 1 business day. # Actor input Schema ## `location` (type: `string`): City and region/country to search, e.g. 'Marrakesh, Morocco', 'Lisbon, Portugal', 'Austin, Texas'. ## `includeHostels` (type: `boolean`): Also include hostels and budget dorms in the results (off = hotels and guest houses only). ## `includeApartments` (type: `boolean`): Also include tourism apartments / aparthotels. ## `includeChalets` (type: `boolean`): Also include chalets and vacation cabins in the results (off = hotels and guest houses only). ## `maxItems` (type: `integer`): Maximum number of accommodations to return. ## `crawlEmails` (type: `boolean`): Visit each property's own website to extract contact emails and detect its channel manager / PMS and OTA presence. Turn off for a faster, listing-only run. ## `onlyWithWebsite` (type: `boolean`): Drop accommodations with no website (required for email + tech-stack enrichment). ## `onlyWithEmail` (type: `boolean`): Keep only properties where an email was found (best for cold email). ## `maxPagesPerSite` (type: `integer`): How many pages (home, contact, about, booking...) to crawl per website while looking for an email. ## `concurrency` (type: `integer`): How many websites to crawl in parallel. ## Actor input object example ```json { "location": "Marrakesh, Morocco", "includeHostels": false, "includeApartments": false, "includeChalets": false, "maxItems": 100, "crawlEmails": true, "onlyWithWebsite": true, "onlyWithEmail": false, "maxPagesPerSite": 3, "concurrency": 8 } ``` # 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 = { "location": "Marrakesh, Morocco", "onlyWithWebsite": true }; // Run the Actor and wait for it to finish const run = await client.actor("oriented_wallpaper/hotel-host-leads-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 = { "location": "Marrakesh, Morocco", "onlyWithWebsite": True, } # Run the Actor and wait for it to finish run = client.actor("oriented_wallpaper/hotel-host-leads-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 '{ "location": "Marrakesh, Morocco", "onlyWithWebsite": true }' | apify call oriented_wallpaper/hotel-host-leads-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=oriented_wallpaper/hotel-host-leads-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Hotel & Host Leads Scraper - Email + Booking Tech Stack", "description": "Find hotels, guest houses & B&Bs by city and get contactable host/owner leads enriched with their tech stack: channel managers/PMS (SiteMinder, Cloudbeds, Mews, Guesty) and OTA presence (Booking.com, Expedia, Airbnb, Vrbo). Includes name, stars, phone, website & email. No API key.", "version": "0.1", "x-build-id": "ge7uTeeP2hOXFHkFp" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/oriented_wallpaper~hotel-host-leads-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-oriented_wallpaper-hotel-host-leads-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/oriented_wallpaper~hotel-host-leads-scraper/runs": { "post": { "operationId": "runs-sync-oriented_wallpaper-hotel-host-leads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/oriented_wallpaper~hotel-host-leads-scraper/run-sync": { "post": { "operationId": "run-sync-oriented_wallpaper-hotel-host-leads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "location" ], "properties": { "location": { "title": "Location", "type": "string", "description": "City and region/country to search, e.g. 'Marrakesh, Morocco', 'Lisbon, Portugal', 'Austin, Texas'." }, "includeHostels": { "title": "Include hostels", "type": "boolean", "description": "Also include hostels and budget dorms in the results (off = hotels and guest houses only).", "default": false }, "includeApartments": { "title": "Include serviced apartments", "type": "boolean", "description": "Also include tourism apartments / aparthotels.", "default": false }, "includeChalets": { "title": "Include chalets", "type": "boolean", "description": "Also include chalets and vacation cabins in the results (off = hotels and guest houses only).", "default": false }, "maxItems": { "title": "Max accommodations", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of accommodations to return.", "default": 100 }, "crawlEmails": { "title": "Crawl websites for email + tech stack", "type": "boolean", "description": "Visit each property's own website to extract contact emails and detect its channel manager / PMS and OTA presence. Turn off for a faster, listing-only run.", "default": true }, "onlyWithWebsite": { "title": "Only places with a website", "type": "boolean", "description": "Drop accommodations with no website (required for email + tech-stack enrichment).", "default": false }, "onlyWithEmail": { "title": "Only places with an email", "type": "boolean", "description": "Keep only properties where an email was found (best for cold email).", "default": false }, "maxPagesPerSite": { "title": "Max pages per website", "minimum": 1, "maximum": 8, "type": "integer", "description": "How many pages (home, contact, about, booking...) to crawl per website while looking for an email.", "default": 3 }, "concurrency": { "title": "Concurrency", "minimum": 1, "maximum": 20, "type": "integer", "description": "How many websites to crawl in parallel.", "default": 8 } } }, "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 } } } } } } } } } } ```