🏨 SmartHotels Sales Opportunity Scanner

Turn hotel prospect lists into evidence-safe B2B sales intelligence.

SmartHotels helps hospitality vendors, agencies, and sales teams decide which hotel accounts deserve outreach first, what angle to use, and which claims are actually supported by evidence.

✅ Rank hotel prospects by sales opportunity
✅ Estimate room scale with evidence status
✅ Detect digital guest-experience and commercial fit signals
✅ Generate safe outreach angles and next best actions
✅ Export JSON/CSV-ready results for sales workflows
✅ Keep unknown facts visible instead of inventing them

🚀 What does this Actor do?

SmartHotels Sales Opportunity Scanner analyzes one hotel or a batch of hotels and returns a structured sales-intelligence report.

Instead of giving you raw scraped data, it helps answer:

• Which hotels are worth contacting first?
• Does the hotel have enough scale for your offer?
• What sales angle fits this account?
• What evidence supports the recommendation?
• What should your first message say?

This is not a generic hotel scraper. It is a prospect qualification tool for B2B hotel sales workflows.

🎯 Best use cases

🏨 Single hotel audit

Evaluate one hotel before outreach. Get fit, score, evidence status, recommended sales angle, and next best action.

📊 Batch lead enrichment

Upload up to 10 or 100 hotels and receive ranked JSON/CSV-ready records for spreadsheet, CRM review, or outbound workflows.

🌍 Regional prospecting

Prepare a city, country, or segment-focused hotel campaign with a first pass of account quality and outreach priority.

✉️ Evidence-safe outreach prep

Draft a first-touch message without inventing vendor usage, personal contacts, emails, or unsupported hotel facts.

👥 Who is it for?

SmartHotels is built for teams that sell into hotels, including:

• hospitality software vendors;
• guest-experience technology providers;
• digital reading, media, or guest-content vendors;
• sustainability solution providers;
• marketing and lead-generation agencies;
• B2B sales teams targeting hotel accounts;
• founders building hotel prospecting campaigns.

The hotel is the analyzed account. The buyer is the company trying to sell to that hotel.

📦 What data do you get?

Field	Meaning
opportunityScore	How strong the account looks for B2B outreach
commercialFit	High / Medium / Low fit for the buyer's offer
estimatedRooms	Room scale when evidence-safe
officialWebsiteFetched	Whether the official site was fetched
pressReaderIntelligence	Digital reading / vendor status intelligence with safe labels
salesAngle	Suggested commercial angle
nextBestAction	What to do next
firstEmailMessage	Safe first-touch draft
sources	Source references and evidence notes
evidenceClaims	Which output claims are supported

🧪 Example input

Single-hotel input:

{
  "hotelName": "Six Senses Rome",
  "city": "Rome",
  "country": "Italy",
  "hotelWebsite": "https://www.sixsenses.com/en/hotels/rome",
  "serviceToSell": "digital newspapers and magazines for hotel guests",
  "includeCSV": true
}

Batch input:

{
  "hotels": [
    {
      "hotelName": "Six Senses Rome",
      "city": "Rome",
      "country": "Italy",
      "hotelWebsite": "https://www.sixsenses.com/en/hotels/rome",
      "serviceToSell": "digital newspapers and magazines for hotel guests"
    },
    {
      "hotelName": "Hotel de Russie",
      "city": "Rome",
      "country": "Italy",
      "hotelWebsite": "https://www.roccofortehotels.com/hotels-and-resorts/hotel-de-russie/",
      "serviceToSell": "guest experience software"
    }
  ],
  "includeCSV": true
}

Recommended buyer inputs:

• hotel name;
• city;
• country;
• official website when available;
• service or product category being sold;
• includeCSV for batch exports.

📊 Example output

Hotel	City	Rooms	Fit	Score	Website fetch	Sales action
Six Senses Rome	Rome	96	High	80	Fetched	Contact guest experience or operations with a premium digital-service angle.
Hotel de Russie	Rome	120	High	85	Fetched	Prioritize for premium guest-experience outreach.
Park Hyatt Milan	Milan	106	Medium	77	Rate-limited official fetch	Keep official-fetch status separate from room-count resolution; use cross-source room evidence.

Example JSON fields:

{
  "hotelName": "Six Senses Rome",
  "city": "Rome",
  "country": "Italy",
  "officialWebsiteFetched": true,
  "estimatedRooms": 96,
  "commercialFit": "High",
  "opportunityScore": 80,
  "confidenceLevel": "Medium",
  "targetContactRole": "Guest experience, operations, or rooms division",
  "nextBestAction": "Send a short discovery message and ask who owns digital guest experience.",
  "evidenceClaims": [
    {
      "field": "estimatedRooms",
      "status": "confirmed",
      "source": "verified public source"
    }
  ]
}

CSV output is written to the key-value store as:

hotel-sales-opportunities.csv

Batch summary is written as:

batch-summary.json

💳 Pricing

Event	What it means	Price
hotel_basic_audit	1 hotel opportunity report	USD 3
hotel_batch_10	Up to 10 hotel reports	USD 19
hotel_batch_100	Up to 100 hotel reports	USD 99

Deferred events are not part of the launch MVP:

• hotel_advanced_report
• csv_enrichment
• market_prospecting_report

🛡️ Evidence-safe by design

SmartHotels is designed to keep unknown facts unknown.

It does not invent:

• personal emails;
• guessed email patterns;
• manager names;
• phone numbers;
• room counts without evidence;
• current vendor usage unless evidence marks it as verified;
• Google Maps or nearby-hotel claims.

If something is unknown, blocked, or not confirmed, the output says so.

Park Hyatt Milan example:

• official Hyatt pages returned HTTP 429 during validation;
• that is an official-fetch status, not missing hotel data;
• room count is resolved through cross-source evidence;
• official website fetch status stays separate from resolved facts.

⚠️ Limitations

• Some hotel websites block automated fetches or return rate limits.
• Official website fetch status is not the same as total data resolution.
• Personal contact discovery is not part of the MVP.
• General hotel email enrichment is a future source-backed feature; this Actor does not guess email patterns.
• Google Maps or nearby-hotel discovery is not part of the MVP.
• Live PressReader account/API verification is not part of the MVP.
• Results support sales research and prioritization; they do not replace human review before outreach.

❓ Frequently asked questions

Does this find personal emails?

No. The MVP does not invent or guess personal emails.

Does this confirm PressReader usage?

Only if the output marks usage as verified. Otherwise, the status remains unknown or not_confirmed.

What if a hotel website blocks the fetch?

The Actor labels the official-fetch status separately from resolved facts such as room count.

Can I export results?

Yes. Batch runs can produce JSON/CSV-ready output for spreadsheet, CRM review, or outbound workflows.

Is this a generic hotel scraper?

No. It is a B2B sales-intelligence tool for prioritizing hotel outreach.