Hotel & Motel Lead Finder

TL;DR for B2B SaaS and hospitality supply sales reps selling INTO independent hotels, motels, and B&Bs: Pulls US independent hotels, motels, inns, and B&Bs from Google Maps with detected property management system (Cloudbeds, Mews, OPERA, RoomKey, innRoad, RDPwin, eZee, RMS, Hostfully), booking engine, channel manager, and revenue management tool. Compared to compass/crawler-google-places, you get vertical PMS detection plus brands (Marriott, Hilton, Hyatt, IHG, Wyndham, Choice, Best Western, OYO, Sonesta, Extended Stay America) pre-blocked so the list is independent properties only. Free Apify plan returns about 1,000 leads per month on your $5 platform credit, then demo samples plus an upgrade message. Upgrade to Apify Starter ($49/mo) for unlimited volume.

Run it in 30 seconds

# Via the Apify Python SDK
from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("seibs.co/hotel-motel-lead-finder").call(run_input={
    "search_terms": [
        "motel",
        "bed and breakfast"
    ],
    "locations": [
        "Asheville, NC"
    ],
    "enrichment_tier": "premium",
    "max_results_per_query": 50
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Or via curl:

curl -X POST "https://api.apify.com/v2/acts/seibs.co~hotel-motel-lead-finder/run-sync-get-dataset-items?token=<YOUR_APIFY_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"search_terms": ["motel", "bed and breakfast"], "locations": ["Asheville, NC"], "enrichment_tier": "premium", "max_results_per_query": 50}'

Or click "Try for free" on this page if you prefer the no-code UI.

What you get

Each run produces:

• A clean dataset, filterable in the Apify console and downloadable as CSV or JSON
• An OUTPUT.html dashboard preview of your top records
• A sample-output preview at ./.actor/sample-output.json

Per-archetype custom artifacts shipped with this actor:

• top-leads.csv (HubSpot-ready columns, sorted by confidence_score)
• cold-email-templates.html (per-PMS pitch with copy-to-clipboard buttons)
• stack-breakdown.csv (PMS plus booking engine plus channel manager per record)

---

What does Hotel & Motel Lead Finder do?

Hotel & Motel Lead Finder pulls Google Maps listings for US independent hotels, boutique hotels, B&Bs, and motels, then enriches each record with phone, website, emails, social handles, and detected hospitality tech (PMS, channel manager, OTA partner programs). Major chains (Marriott, Hilton, Hyatt, IHG, Choice, Wyndham, Best Western, Accor, Radisson) are filtered out so the dataset is sellable property leads only.

Features

• US-wide Google Maps coverage by city, metro, or state.
• Property type classification: boutique_hotel, independent_hotel, motel, bed_and_breakfast, extended_stay, resort, vacation_rental, hostel.
• Major hotel chain pre-blocking - opt-in via exclude_chains: true.
• Email scraping from website with role bucketing (sales, support, billing, executive, generic).
• Tech stack detection: Cloudbeds, Mews, RoomRaccoon, Hotelogix, Little Hotelier, SiteMinder, RateGain, Booking.com partner, Expedia partner, WordPress, Google Tag Manager.
• Social handle extraction (Facebook, Instagram, LinkedIn, YouTube, Twitter/X, TikTok).
• Confidence score per record so buyers can filter for high-quality leads.
• Pay-per-event pricing - no monthly minimum, no idle cost.

Use cases

• Hospitality SaaS outbound for Cloudbeds, Mews, RoomRaccoon, Hotelogix, SiteMinder, RateGain competitors.
• Hotel-PE acquisition pipelines targeting independents and boutique groups.
• OTA / channel partner recruitment (Booking.com, Expedia, Hotels.com partner programs).
• Payment processor sales (Adyen Hospitality, Stripe, Square for Hotels) targeting non-chain operators.
• Hospitality insurance and supplier prospecting (linens, F&B, FF&E vendors).
• Market sizing - count independent vs chain inventory by metro.

FAQ

Q: Is this legal? A: Yes. Every field is sourced from publicly accessible Google Maps listings and public hotel / motel websites. No logged-in scraping, no PMS back-end access, no OTA partner-portal data.

Q: Why might a run fail or return zero records? A: The most common cause is the Apify free-plan compute / proxy credit ceiling on large premium runs. The actor soft-fails by default â€" it writes whatever was already enriched and exits clean rather than throwing. Paid-plan errors usually surface a rate-limit or proxy-bandwidth line in the run log.

Q: Why are Hilton, Marriott, Hyatt, IHG, Wyndham, Choice etc excluded? A: We target independent and boutique hotels because that is where the PMS, channel-manager, and payments-SaaS TAM lives. Flagged-chain properties run brand-mandated stacks (OnQ, Opera, etc) and cannot adopt Cloudbeds / Mews / RoomRaccoon. They are pre-blocked when exclude_chains: true.

Q: How fresh is the data? A: Live at run time. Google Maps listings reflect the current snapshot; website enrichment reflects the homepage as of scraped_at. No stale cache.

Q: Can I schedule daily or weekly runs? A: Yes. Apify Schedules can run this actor on any cron interval. Pair with a webhook to push only new properties or changed PMS detections into your CRM.

Q: Does it integrate with my CRM? A: Yes â€" via Zapier, Make, n8n, or direct webhook. Records map cleanly into HubSpot, Salesforce, Pipedrive, Clay, Apollo, and Instantly. See Integrations below.

Q: What does it cost in practice? A: $0.004 base, $0.008 with email, $0.015 fully enriched. A statewide independent-hotel run typically lands in the $20-50 range.

Related Actors

Pair this actor with adjacent SEIB intelligence for richer hospitality outbound:

• Google Maps Reviews Pro â€" pull review velocity and sentiment to rank properties by guest experience or churn risk
• B2B Sales Triggers â€" detect funding, leadership changes, and hiring spikes to time the pitch
• YouTube Intelligence â€" surface property tours, influencer mentions, and travel-creator coverage for marketing-led outreach

Integrations

- Zapier â€" push to HubSpot/Salesforce/Pipedrive/Apollo
- Make.com (formerly Integromat) â€" workflow automation
- n8n â€" self-hosted automation
- Apify webhooks â€" POST to your endpoint
- API + dataset export (JSON/CSV/Excel/XML)
- MCP / AI agents â€" call from Claude/GPT/LangChain

Input

The Actor takes a JSON input describing search terms, locations, enrichment tier, and chain-exclusion rules. Full schema: see the Input tab.

{
  "search_terms": ["hotel", "boutique hotel", "motel"],
  "locations": ["Austin, TX", "Dallas, TX", "Houston, TX"],
  "max_results_per_query": 100,
  "enrichment_tier": "premium",
  "service_lines": ["independent_hotel", "boutique_hotel"],
  "exclude_chains": true
}

Output

Sample output: ./.actor/sample-output.json â€" copy-paste-ready preview of real-looking records.

First record inline:

{
  "place_id": "ChIJOQSUWYacegikmoqsuwy02468ACE",
  "name": "Riverwalk Boutique Inn",
  "category": "Hotel",
  "vertical": "hotel_motel",
  "service_line": "hotel",
  "address": {
    "street": "9677 Main St",
    "city": "San Diego",
    "state": "CA",
    "zip": "92101",
    "country": "US",
    "lat": 32.7457,
    "lng": -117.1731
  },
  "phone": "(619) 555-1091",
  "phone_e164": "+16195550191",
  "website": "https://riverwalkboutiqueinn.com/",
  "google_maps_url": "https://www.google.com/maps/place/?q=place_id:ChIJOQSUWYacegikmoqsuwy02468ACE",
  "rating": 4.9,
  "reviews_count": 184,
  "hours": {
    "mon": "8:00 AM - 6:00 PM",
    "tue": "8:00 AM - 6:00 PM",
    "wed": "8:00 AM - 6:00 PM",
    "thu": "8:00 AM - 6:00 PM",
    "fri": "8:00 AM - 5:00 PM",
    "sat": "Closed",
    "sun": "Closed"
  },
  "claimed": true,
  "scraped_at": "2026-05-10T10:23:10Z",
  "confidence_score": 0.62,
  "enrichment": {
    "tier": "premium",
    "emails": [
      "info@riverwalkboutiqueinn.com",
      "hello@riverwalkboutiqueinn.com"
    ],
    "social": {
      "facebook": "https://www.facebook.com/riverwalkboutiqueinn",
      "instagram": "https://www.instagram.com/riverwalkboutiqueinn",
      "linkedin": "https://www.linkedin.com/company/riverwalkboutiqueinn"
    },
    "tech_stack": [
      "cloudbeds",
      "google_tag_manager",
      "mews",
      "opera_pms"
    ],
    "license_numbers": [
      "CA-101180"
    ],
    "service_area_mentions": [
      "San Diego",
      "Santa Barbara",
      "Monterey"
    ],
    "year_founded": 2014,
    "fleet_hints": [],
    "homepage_title": "Riverwalk Boutique Inn | San Diego, CA",
    "homepage_status": 200,
    "bbb": {
      "accredited": true,
      "rating": "A+"
    },
    "open_24_7": false,
    "licensed_bonded_insured": false,
    "locations_count": 2,
    "spanish_speaking": false,
    "linkedin_company": "https://www.linkedin.com/company/riverwalkboutiqueinn",
    "yelp_url": "https://www.yelp.com/biz/riverwalkboutiqueinn-san-diego",
    "third_party_reviews": [],
    "press_mentions": [],
    "awards": [],
    "team_size_hints": [
      "5 team members"
    ],
    "owner_names": [
      "Maria Chen"
    ],
    "employee_count": 8,
    "role_emails": {
      "executive": [
        "mchen@riverwalkboutiqueinn.com"
      ],
      "billing": [
        "billing@riverwalkboutiqueinn.com"
      ],
      "support": [
        "support@riverwalkboutiqueinn.com"
      ],
      "generic": [
        "info@riverwalkboutiqueinn.com"
      ]
    },
    "financing_processors": [
      "affirm",
      "klarna"
    ],
    "payment_processors": [
      "square"
    ],
    "hiring_signals": {
      "actively_hiring": true,
      "indicators": [
        "careers page link",
        "we're hiring banner"
      ]
    },
    "insurance_carriers_accepted": [],
    "languages_offered": [],
    "online_booking_platforms": [
      "calendly"
    ],
    "customer_count_signals": {
      "customers_served": 1500,
      "reviews_count": 184,
      "projects_completed": null,
      "locations_served": null,
      "raw_matches": [
        "Trusted by 1500+ clients"
      ]
    },
    "chatbot_platforms": [
      "intercom"
    ],
    "email_marketing_platforms": [
      "mailchimp"
    ],
    "lead_capture_ctas": {
      "has_free_quote_cta": true,
      "has_get_started_cta": true,
      "has_appointment_booking": false,
      "has_callback_request": true,
      "has_contact_form": true,
      "cta_count": 3
    },
    "mobile_app_links": {
      "has_ios_app": false,
      "has_android_app": false,
      "ios_app_id": null,
      "android_app_id": null
    },
    "certifications_credentials": [
      "AAA 3-Diamond"
    ],
    "financing_accepted": [
      "credit_card",
      "cash"
    ],
    "growth_signals": {
      "growth_score": 0.4,
      "components": {
        "hiring": 0.6,
        "employee_scale": 0.4,
        "multi_location": 0.5
      },
      "indicators_count": 2
    },
    "jsonld": {
      "name": "Riverwalk Boutique Inn",
      "phone": "(619) 555-1091",
      "email": "info@riverwalkboutiqueinn.com",
      "address": {
        "street": "9677 Main St",
        "city": "San Diego",
        "region": "CA",
        "zip": "92101"
      },
      "opening_hours": [
        "Mo-Fr 08:00-18:00"
      ],
      "social_urls": [
        "https://www.facebook.com/riverwalkboutiqueinn",
        "https://www.instagram.com/riverwalkboutiqueinn"
      ],
      "aggregate_rating": {
        "rating": 4.9,
        "count": 184
      },
      "employee_count": 8,
      "founders": [
        "Maria Chen"
      ]
    }
  }
}

Each dataset item is one independent hotel or motel with location, contact, ratings, and an enrichment block. Realistic sample:

{
  "place_id": "ChIJN1t_tDeuEmsRUsoyG83frY4",
  "name": "Hotel Valencia Riverwalk",
  "service_line": "independent_hotel",
  "category": "Hotel",
  "vertical": "hotels_motels",
  "address": {
    "street": "150 E Houston St",
    "city": "San Antonio",
    "state": "Texas",
    "zip": "78205",
    "country": "US",
    "lat": 29.4262737,
    "lng": -98.4915927
  },
  "phone": "(210) 227-9700",
  "phone_e164": "+12102279700",
  "website": "https://www.hotelvalencia-riverwalk.com/",
  "google_maps_url": "https://www.google.com/maps/place/?q=place_id:ChIJN1t_tDeuEmsRUsoyG83frY4",
  "rating": 4.4,
  "reviews_count": 3116,
  "claimed": true,
  "confidence_score": 0.92,
  "scraped_at": "2026-05-14T19:22:11Z",
  "enrichment": {
    "tier": "premium",
    "emails": ["info@hotelvalencia-riverwalk.com"],
    "social": {
      "facebook": "https://www.facebook.com/HotelValenciaRiverwalk",
      "instagram": "https://www.instagram.com/hotelvalenciariverwalk"
    },
    "tech_stack": ["cloudbeds", "siteminder", "wordpress", "google_tag_manager"],
    "homepage_status": 200,
    "homepage_title": "Hotel Valencia Riverwalk - Boutique Hotel on the San Antonio River Walk"
  }
}

The dataset preview ships with two tabs: Overview (key columns at a glance) and Detailed (every field with proper formatting).

Pricing

Pay-per-event - billed only on records actually emitted:

Event	Price	When charged
Base record	$0.004	Every record
Email enrichment	+ $0.004	At least one verified email scraped from website
Premium signals	+ $0.007	PMS, channel manager, or OTA partner program detected

Effective: $0.004 base / $0.008 with email / $0.015 fully enriched. A 1,000-record metro-wide enriched run typically lands between $5 and $15.

FAQ

Is this legal? Yes - Google Maps business listings are publicly available data. The Actor does not bypass authentication, scrape private data, or violate any platform's robots.txt for protected paths.

How fresh is the data? Pulled live at run time from Google Maps. Re-run on whatever cadence your CRM hygiene requires.

Can I exclude specific brands? Set exclude_chains: true (default) to drop the curated chain list. For ad-hoc filtering, post-process the output by matching against the name field.

What's the rate limit? Apify-side: governed by your account's compute units. Scraper-side: jittered to stay under Google Maps' soft limits.

Why no SMTP email validation? Out of scope for v1 - chain it with a dedicated email validation Actor (NeverBounce, ZeroBounce wrappers) downstream.

Does it work outside the US? v1 is US-only. International coverage is on the roadmap.

Save your input as an Apify Task

Apify Tasks let you save a configured input once and re-run it with a single click - no need to re-type search terms, locations, filters, or tier settings every time. Tasks are the foundation for everything that comes next: schedules, monitor mode, and webhook routing all attach to a saved Task, not to the raw actor.

Steps to save your current input as a Task:

1. On this actor's Apify Store page, click Run with your input fully configured.
2. Click the Save as task button at the top of the run page.
3. Name the task something memorable (e.g. Independent hotels in Florida - weekly).
4. Reload the task page and click Start anytime to re-run with the same inputs.

Tasks unlock the next two features below: scheduling and monitor mode.

Run this weekly with Apify Schedules

Apify Schedules cron-run any saved Task automatically. Pair this with the saved Task above and you get hands-off recurring runs with no manual clicks, no missed weeks, and a steady stream of fresh data into your CRM or warehouse.

Steps to schedule a Task:

1. Save your input as a Task (see above).
2. Go to https://console.apify.com/schedules and click Create new schedule.
3. Pick your Task and set the cron expression. Common patterns:
   • Daily at 9am UTC: 0 9 * * *
   • Weekly on Mondays at 9am: 0 9 * * 1
   • Monthly on the 1st: 0 9 1 * *
4. Save. Apify will run your Task on that schedule automatically, push the dataset to whatever integrations you have wired up, and fire run-completion webhooks for downstream automation.

Run weekly to keep your prospect list fresh and catch newly-rebranded or independently-flagged properties.

Monitor mode (v2, beta)

Monitor mode is the v2 evolution of this actor and is currently in BETA. It turns a recurring schedule into a true change-feed instead of a firehose of duplicate records.

How it works:

• When this actor runs under an Apify Schedule, monitor mode is enabled automatically.
• Instead of emitting ALL records every run, it emits ONLY records that are NEW or CHANGED since the last scheduled run.
• A digest record summarizes the delta (X new, Y changed, Z removed) at the top of every run.
• Optional: provide a Slack or email webhook URL in the monitor_webhook_url input field and the digest fires there too, so your team gets the delta in their inbox or channel without polling the dataset.
• Cost: a single scheduled_delta_run event ($0.05) per scheduled run, plus standard PPE on emitted delta records only. Predictable monthly cost, no surprise bills from re-charging for unchanged records.

Monitor mode is rolling out to the top 3 actors first (this one included if it's hotel-motel-lead-finder, google-maps-reviews-pro, or mcp-accounting-firm-leads). Full portfolio coverage by end of June.

Support

• Email: jtseib@live.com
• Issues / feature requests: open an issue on the Actor's Issues tab in Apify Console.
• Same data engine, different vertical: see the rest of the SEIB lead-finder portfolio under seibs.co on Apify.

Changelog

See ./CHANGELOG.md.

Found this useful?

If this actor saved you time or money, please consider leaving a quick review on the Apify Store. Reviews help other buyers find work that solves their problem and let me prioritize the features paying customers actually use. Leave a review: https://apify.com/seibs.co/hotel-motel-lead-finder#reviews