# Hospitality Website Opportunity Scanner (`viable_guard/hospitality-website-opportunity-scanner`) Actor Find hotels, B\&Bs, guest houses and restaurants with public website, SEO, booking and contact opportunity signals across configurable locations. - **URL**: https://apify.com/viable\_guard/hospitality-website-opportunity-scanner.md - **Developed by:** [Matteo](https://apify.com/viable_guard) (community) - **Categories:** Lead generation, Travel, SEO tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $20.00 / 1,000 qualified opportunity leads 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 ## Hospitality Website Opportunity Scanner Find hotels, B&Bs, apartments, hostels, restaurants, cafes and other hospitality businesses with public website, SEO, contact, booking and conversion opportunity signals. Built for web agencies, hospitality marketing consultants, booking-engine vendors, local SEO teams, CRM enrichment workflows and outbound sales teams that need **qualified website-opportunity leads**, not raw scraped rows. ### What it does Given locations or a direct `inputBusinesses` list, the Actor: 1. accepts known hospitality websites from CRM rows, Google Maps exports, spreadsheets, or manual lists; 2. optionally discovers public hospitality businesses from OpenStreetMap/Overpass; 3. filters for businesses with public websites; 4. audits homepage plus likely contact/about/booking pages; 5. extracts public emails, phones, WhatsApp and social links when visible; 6. detects technical and commercial opportunity signals; 7. returns a scored lead with `opportunityScore`, `signals`, and outreach-ready `salesAngles`. For production workflows, `inputBusinesses` is the most reliable mode. Location discovery is useful for prospecting but depends on public OSM/Overpass coverage. ### Expanded use cases - Web-design outreach for hotels and restaurants with weak or broken websites. - Direct-booking sales campaigns for properties missing booking CTAs. - Local SEO audits for hospitality websites with weak metadata or thin content. - CRM enrichment for hospitality prospect lists. - Agency prioritization: score accounts before humans review the best leads. - Monitoring public hospitality websites for DNS/SSL/404 failures. ### Supported discovery categories Examples: `hotel`, `guest_house`, `bed_and_breakfast`, `apartment`, `hostel`, `motel`, `resort`, `camp_site`, `chalet`, `restaurant`, `cafe`, `bar`, `pub`, `attraction`. ### Input examples #### Discover by location ```json { "country": "Spain", "locations": ["Barcelona"], "businessTypes": ["hotel", "apartment", "restaurant", "cafe"], "maxPlacesPerLocation": 50, "maxBusinessesToAudit": 25, "minOpportunityScore": 35, "includeContactExtraction": true, "includeWebsiteAudit": true, "language": "en" } ```` #### Audit your own business list ```json { "inputBusinesses": [ { "businessName": "Hotel Jazz", "category": "hotel", "location": "Barcelona", "website": "https://www.hoteljazz.com/" } ], "locations": [], "maxBusinessesToAudit": 50, "minOpportunityScore": 35, "language": "en" } ``` ### Output fields Each dataset item includes: - `businessName`, `category`, `location`, `address`, `phone` - `website`, `normalizedWebsite`, `statusCode`, `checkedPages` - `publicEmails`, `publicPhones`, `socialLinks` - `signals`, `technologies`, `opportunityScore`, `salesAngles` - `source`, `sourceId`, `checkedAt`, `error` ### Example output table | Business | Category | Location | Score | Website issue / signal | Public contacts | Sales angle | |---|---|---:|---:|---|---|---| | Bosc Tancat | restaurant | Barcelona | 60 | Missing CTA + weak metadata | phone/social if public | Improve conversion path and local SEO. | | Hotel Nice Sorrento | hotel | Sorrento | 42 | HTTP website, no WhatsApp detected | phone | Upgrade trust and mobile contact flow. | | Hotel AmΓ©rica | hotel | Barcelona | 24 | Tracking gap / no WhatsApp detected | public contact | Improve campaign tracking and mobile conversion. | ### Example JSON item ```json { "businessName": "Example Hotel", "category": "hotel", "location": "Barcelona", "website": "https://examplehotel.com", "normalizedWebsite": "https://examplehotel.com/", "publicEmails": ["info@examplehotel.com"], "publicPhones": ["+34 900 000 000"], "socialLinks": ["https://www.instagram.com/examplehotel"], "statusCode": 200, "signals": { "includeContactExtraction": true, "includeWebsiteAudit": true, "fetchIssueType": "ok", "hasHttps": true, "hasPublicEmail": true, "hasPublicPhone": true, "hasWhatsapp": false, "hasBookingEngineOrBookingCTA": false, "missingMetaDescription": true }, "opportunityScore": 72, "salesAngles": [ "No clear booking/contact/quote CTA detected: conversion improvement opportunity.", "WhatsApp not detected: mobile contact/conversion opportunity.", "Missing or weak meta description: SEO/local-search opportunity." ] } ``` ### Pricing This Actor is monetized with Apify Pay Per Event at **$0.02 per qualified hospitality opportunity lead** written to the dataset, shown as **$20 / 1,000 qualified opportunity leads**. ### Data source and compliance notes - Uses public OpenStreetMap/Overpass records only for optional discovery. - Audits only public business websites supplied by the user or present in public records. - Does not log in, bypass paywalls, or access private systems. - Email/phone extraction is limited to public business contact data visible on websites. - Users are responsible for outreach, privacy and anti-spam compliance in their jurisdiction. ### Limitations - OSM coverage varies by city/category; bring-your-own `inputBusinesses` is more reliable for production. - Some sites block automated requests with HTTP 403; these are marked separately from broken websites. - CTA/booking detection is keyword-based. - The Actor does not render JavaScript-heavy sites; SPA websites may need manual review. - Contact extraction is conservative to reduce false positives, so it may miss obfuscated emails. # Actor input Schema ## `inputBusinesses` (type: `array`): Optional list of known hospitality businesses to audit directly. Use this for CRM rows, Google Maps exports, spreadsheets, or manually selected websites. If provided together with locations, both sources are combined and deduplicated. ## `country` (type: `string`): Optional country name used to disambiguate OpenStreetMap/Overpass discovery, e.g. Spain, France, Portugal, Italy. Leave empty for global location-name matching. ## `locations` (type: `array`): City or area names to search in OpenStreetMap/Overpass. Leave empty if using inputBusinesses only. ## `businessTypes` (type: `array`): Hospitality categories: hotel, guest\_house, bed\_and\_breakfast, apartment, hostel, motel, resort, camp\_site, chalet, restaurant, cafe, bar, pub, attraction. ## `maxPlacesPerLocation` (type: `integer`): Maximum OSM records requested per location before website filtering. ## `maxBusinessesToAudit` (type: `integer`): Maximum websites to crawl in one run. ## `minOpportunityScore` (type: `integer`): Only leads with score greater than or equal to this value are pushed to the dataset. ## `includeContactExtraction` (type: `boolean`): When enabled, extract public emails, phone numbers, WhatsApp links, and social links from audited websites. ## `includeWebsiteAudit` (type: `boolean`): When enabled, detect weak website and conversion signals such as broken sites, missing HTTPS, missing booking CTAs, and weak metadata. ## `language` (type: `string`): Language for sales angle labels. ## `overpassEndpoints` (type: `array`): Advanced: Overpass API endpoints used for public OpenStreetMap discovery. Leave default unless a public endpoint is slow or unavailable. ## Actor input object example ```json { "inputBusinesses": [ { "businessName": "Hotel Jazz", "category": "hotel", "location": "Barcelona", "website": "https://www.hoteljazz.com/" }, { "businessName": "Le Select", "category": "restaurant", "location": "Paris", "website": "https://www.leselectmontparnasse.fr/" } ], "country": "Spain", "locations": [ "Barcelona", "Nice", "Lisbon" ], "businessTypes": [ "hotel", "guest_house", "apartment", "restaurant", "cafe" ], "maxPlacesPerLocation": 100, "maxBusinessesToAudit": 50, "minOpportunityScore": 35, "includeContactExtraction": true, "includeWebsiteAudit": true, "language": "en", "overpassEndpoints": [ "https://overpass-api.de/api/interpreter", "https://overpass.kumi.systems/api/interpreter" ] } ``` # 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 = { "inputBusinesses": [ { "businessName": "Hotel Jazz", "category": "hotel", "location": "Barcelona", "website": "https://www.hoteljazz.com/" }, { "businessName": "Le Select", "category": "restaurant", "location": "Paris", "website": "https://www.leselectmontparnasse.fr/" } ], "country": "Spain", "locations": [ "Barcelona", "Nice", "Lisbon" ], "businessTypes": [ "hotel", "guest_house", "apartment", "restaurant", "cafe" ], "overpassEndpoints": [ "https://overpass-api.de/api/interpreter", "https://overpass.kumi.systems/api/interpreter" ] }; // Run the Actor and wait for it to finish const run = await client.actor("viable_guard/hospitality-website-opportunity-scanner").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 = { "inputBusinesses": [ { "businessName": "Hotel Jazz", "category": "hotel", "location": "Barcelona", "website": "https://www.hoteljazz.com/", }, { "businessName": "Le Select", "category": "restaurant", "location": "Paris", "website": "https://www.leselectmontparnasse.fr/", }, ], "country": "Spain", "locations": [ "Barcelona", "Nice", "Lisbon", ], "businessTypes": [ "hotel", "guest_house", "apartment", "restaurant", "cafe", ], "overpassEndpoints": [ "https://overpass-api.de/api/interpreter", "https://overpass.kumi.systems/api/interpreter", ], } # Run the Actor and wait for it to finish run = client.actor("viable_guard/hospitality-website-opportunity-scanner").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 '{ "inputBusinesses": [ { "businessName": "Hotel Jazz", "category": "hotel", "location": "Barcelona", "website": "https://www.hoteljazz.com/" }, { "businessName": "Le Select", "category": "restaurant", "location": "Paris", "website": "https://www.leselectmontparnasse.fr/" } ], "country": "Spain", "locations": [ "Barcelona", "Nice", "Lisbon" ], "businessTypes": [ "hotel", "guest_house", "apartment", "restaurant", "cafe" ], "overpassEndpoints": [ "https://overpass-api.de/api/interpreter", "https://overpass.kumi.systems/api/interpreter" ] }' | apify call viable_guard/hospitality-website-opportunity-scanner --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=viable_guard/hospitality-website-opportunity-scanner", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Hospitality Website Opportunity Scanner", "description": "Find hotels, B&Bs, guest houses and restaurants with public website, SEO, booking and contact opportunity signals across configurable locations.", "version": "0.2", "x-build-id": "i8M6HrHOcHfyaeqMW" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/viable_guard~hospitality-website-opportunity-scanner/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-viable_guard-hospitality-website-opportunity-scanner", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/viable_guard~hospitality-website-opportunity-scanner/runs": { "post": { "operationId": "runs-sync-viable_guard-hospitality-website-opportunity-scanner", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/viable_guard~hospitality-website-opportunity-scanner/run-sync": { "post": { "operationId": "run-sync-viable_guard-hospitality-website-opportunity-scanner", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "inputBusinesses": { "title": "Input businesses", "type": "array", "description": "Optional list of known hospitality businesses to audit directly. Use this for CRM rows, Google Maps exports, spreadsheets, or manually selected websites. If provided together with locations, both sources are combined and deduplicated.", "items": { "type": "object", "required": [ "businessName", "website" ], "properties": { "businessName": { "type": "string", "title": "Business name", "description": "Name of the business to audit." }, "name": { "type": "string", "title": "Alternative name", "description": "Alias accepted when businessName is missing." }, "category": { "type": "string", "title": "Category", "description": "Business category/niche, e.g. hotel, restaurant, dentist, cafe." }, "location": { "type": "string", "title": "Location", "description": "City/area label used in output." }, "website": { "type": "string", "title": "Website", "description": "Public website URL to audit." }, "phone": { "type": "string", "title": "Phone", "description": "Known public phone number to preserve in output." }, "address": { "type": "string", "title": "Address", "description": "Known public address." }, "lat": { "type": "number", "title": "Latitude", "description": "Optional latitude." }, "lon": { "type": "number", "title": "Longitude", "description": "Optional longitude." } } } }, "country": { "title": "Country filter", "type": "string", "description": "Optional country name used to disambiguate OpenStreetMap/Overpass discovery, e.g. Spain, France, Portugal, Italy. Leave empty for global location-name matching." }, "locations": { "title": "Locations", "type": "array", "description": "City or area names to search in OpenStreetMap/Overpass. Leave empty if using inputBusinesses only.", "items": { "type": "string" } }, "businessTypes": { "title": "Business types", "type": "array", "description": "Hospitality categories: hotel, guest_house, bed_and_breakfast, apartment, hostel, motel, resort, camp_site, chalet, restaurant, cafe, bar, pub, attraction.", "items": { "type": "string" } }, "maxPlacesPerLocation": { "title": "Max places per location", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum OSM records requested per location before website filtering.", "default": 100 }, "maxBusinessesToAudit": { "title": "Max businesses to audit", "minimum": 1, "maximum": 300, "type": "integer", "description": "Maximum websites to crawl in one run.", "default": 50 }, "minOpportunityScore": { "title": "Minimum opportunity score", "minimum": 0, "maximum": 100, "type": "integer", "description": "Only leads with score greater than or equal to this value are pushed to the dataset.", "default": 35 }, "includeContactExtraction": { "title": "Extract public contacts", "type": "boolean", "description": "When enabled, extract public emails, phone numbers, WhatsApp links, and social links from audited websites.", "default": true }, "includeWebsiteAudit": { "title": "Run website opportunity audit", "type": "boolean", "description": "When enabled, detect weak website and conversion signals such as broken sites, missing HTTPS, missing booking CTAs, and weak metadata.", "default": true }, "language": { "title": "Output language", "enum": [ "en", "it" ], "type": "string", "description": "Language for sales angle labels.", "default": "en" }, "overpassEndpoints": { "title": "Overpass endpoints", "type": "array", "description": "Advanced: Overpass API endpoints used for public OpenStreetMap discovery. Leave default unless a public endpoint is slow or unavailable.", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```