🏡 AirComp AI - Airbnb Real Occupancy & Revenue Estimator (AirDNA Alternative)

AirComp AI is an underwriting and market analysis tool for short-term rental (STR) real estate investors, property managers, co-hosts, and brokers. Instead of paying $50–$200/month for subscriptions like AirDNA or Mashvisor, AirComp AI models the true financial performance of any Airbnb listing or neighborhood on-demand for pennies.

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🎯 What AirComp AI Delivers

• 📊 Estimated Occupancy Rate (%): Calculated by parsing 365-day forward availability and applying consecutive-block heuristics to separate true bookings from host closures.
• 💵 Average Daily Rate (ADR): Dynamic pricing breakdown across weekdays and weekend surges.
• 📈 12-Month Seasonality Curve: Month-by-month table (Jan–Dec) showing booked nights, operable nights, and projected monthly gross revenue.
• 💰 Projected Annual Gross Revenue: Underwriting model combining nightly revenue pace with guest turnover cleaning fee impact.
• 🏨 RevPAR (Revenue Per Available Room): The hospitality gold standard for property comparison.
• 📍 Dual Comp Modes:
  1. Direct Listing Comp: Deep-dive 1 to 50 specific property URLs.
  2. Market / Neighborhood Search: Enter a city or neighborhood (e.g. Austin, TX, Scottsdale, AZ), and AirComp AI samples the top listings to construct an aggregate market comp set.

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📐 How the Financial Model Works

1. Calendar Availability Interception: When visiting a listing, the Actor extracts day-level availability, minimum night stay rules, and dynamic price quotes.
2. Booked vs. Owner-Blocked Heuristic: Guest reservations typically span 1–7 days. Contiguous blocks longer than 30 days with static rates are flagged as Owner Blocked / Inoperable rather than inflating occupancy to 100%.
3. Pace & Seasonality Projections: $$\text{Occupancy Rate (%)} = \frac{\text{Estimated Booked Nights}}{\text{Operable Calendar Nights}} \times 100$$ $$\text{Projected Monthly Revenue} = \text{Booked Revenue} + ((\text{Operable Nights} - \text{Booked Nights}) \times \text{Occupancy Rate} \times \text{ADR})$$ $$\text{Annual Gross Revenue} = \sum \text{Monthly Revenues} + (\text{Annual Turns} \times \text{Cleaning Fee})$$

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📥 Input Options

Parameter	Type	Default	Description
location_query	String	"Austin, TX"	City, neighborhood, or market to analyze
start_urls	StringList	[]	Direct URLs of specific Airbnb listings
max_listings	Integer	3	Number of properties to analyze (1–50)
currency	Select	"USD"	Desired currency for ADR and revenue
block_threshold_days	Integer	30	Consecutive days threshold for owner-block detection
proxyConfiguration	Object	RESIDENTIAL	Apify Residential Proxies for unblocked data

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📤 Sample Output (JSON)

{
  "listing_id": "592265060291319011",
  "title": "Calming Space | Trendy East ATX | Walk to Coffee",
  "room_type": "Entire home",
  "location": "Austin, Texas, United States",
  "bedrooms": 2,
  "bathrooms": 2.0,
  "financial_summary": {
    "estimated_occupancy_rate_pct": 68.5,
    "conservative_occupancy_rate_pct": 64.2,
    "average_daily_rate_adr": 215.50,
    "weekday_adr": 195.00,
    "weekend_adr": 265.00,
    "weekend_surge_premium_pct": 35.9,
    "revpar": 147.62,
    "projected_annual_gross_revenue": 58450.00,
    "projected_annual_nightly_revenue": 53890.00,
    "estimated_cleaning_revenue": 4560.00,
    "estimated_annual_guest_turns": 38,
    "cleaning_fee_per_stay": 120.00
  },
  "monthly_seasonality": [
    {
      "month": "2026-10",
      "total_days": 31,
      "operable_days": 31,
      "booked_nights": 22,
      "available_nights": 9,
      "occupancy_rate_pct": 71.0,
      "adr": 220.00,
      "projected_gross_revenue": 5120.00
    }
  ]
}