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  • Airbnb & Vrbo Occupancy Trends Case Study

Airbnb & Vrbo December Occupancy Trends – Holiday Season STR Intelligence

A detailed case study analyzing December occupancy trends across Airbnb and Vrbo using Actowiz Solutions’ real-time short-term rental intelligence system.

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Navratri Mega Sale Price Tracking

Executive Summary

December is one of the most dynamic months in the short-term rental (STR) market. Occupancy surges due to holiday travel, family gatherings, winter tourism, Christmas–New Year trips and long weekend demand. Platforms like Airbnb and Vrbo show some of the highest volatility in nightly rates, occupancy percentages, availability, last-minute discounting and stay-duration patterns during this period.

Actowiz Solutions developed a Short-Term Rental (STR) Intelligence Engine to monitor Airbnb and Vrbo listings across major U.S., EU, GCC and Asia-Pacific tourism destinations. The system tracked daily occupancy, price changes, minimum-night restrictions, cleaning fee variations, cancellation policies, host-level behaviour and geographic demand patterns.

This case study outlines the results of the December occupancy analysis and showcases Actowiz Solutions' capability in delivering real-time, accurate STR insights.

Background

Navratri Mega Sale Price Tracking

Short-term rentals fluctuate rapidly because:

  • Hosts adjust minimum stays
  • High demand triggers price surges
  • Popular holiday dates increase booking velocity
  • Seasonal tourism heavily impacts occupancy
  • Weekend vs weekday occupancy varies widely
  • Local events influence booking spikes
  • Hosts frequently update dynamic pricing

For example:A beachfront Airbnb in Miami priced at $215/night in early December may jump to $480/night around Christmas week while occupancy rises from 62% → 93%.

Travel agencies, property managers, STR hosts, marketplaces and investors require real-time occupancy intelligence to:

  • Predict high-demand weeks
  • Benchmark against competitors
  • Track nightly price increases
  • Understand stay-duration behaviour
  • Optimize revenue strategy
  • Control discounting decisions

Actowiz Solutions provides this visibility through high-scale Airbnb and Vrbo data extraction.

Scope of Work

Platforms Covered
  • Airbnb
  • Vrbo
  • Booking.com (vacation rentals reference)
Regions Monitored
USA
  • Miami
  • Orlando
  • New York
  • Chicago
  • Nashville
  • Phoenix
  • San Diego
Europe
  • Paris
  • London
  • Barcelona
  • Lisbon
  • Amsterdam
Asia-Pacific
  • Bali
  • Phuket
  • Bangkok
  • Singapore
GCC
  • Dubai
  • Abu Dhabi
  • Ras Al Khaimah
Rental Types Tracked
  • Entire homes
  • Private rooms
  • Beach villas
  • Condos & apartments
  • Luxury rentals
  • Cabins
  • Farm stays
  • Resort villas
Data Points Extracted
  • Occupancy rate
  • Nightly price
  • Price per guest
  • Minimum night stay
  • Cleaning & service fees
  • Host response rate
  • Availability calendar
  • Discounts applied
  • Seasonality patterns
  • Review trends
  • Guest demand heat

Actowiz Solutions' STR Intelligence Framework

1. Daily Calendar Scraping

Captures:

  • Occupied nights
  • Available nights
  • Blocked vs booked status
2. Price & Fee Tracking

Monitors:

  • Base price
  • Weekend surcharge
  • Holiday surcharge
  • Cleaning fee changes
3. Occupancy Prediction Engine

Analyzes:

  • Trend curves
  • Historical patterns
  • Host behaviour
  • City events
4. Multi-City STR Dashboard

Shows:

  • Occupancy maps
  • Price volatility
  • Popular dates
  • Host competitiveness

Sample Data Extracted (Illustrative)

Table 1: December Occupancy – U.S. Cities
City Avg Occupancy Peak Week Notes
Miami 87% Dec 24–31 Strong holiday tourism
Orlando 82% Dec 20–29 Family travel
New York 79% Dec 28–31 New Year spike
Nashville 72% Dec 22–26 Event-driven
Phoenix 69% Dec 15–22 Moderate
Table 2: Europe Occupancy Trends
City Avg Occupancy MoM Change Notes
Paris 85% +7% Christmas markets
London 78% +5% Holiday travel
Barcelona 63% -2% Off-season
Amsterdam 81% +4% Winter travel
Table 3: Asia-Pacific Occupancy Trends
Location Avg Occupancy Holiday Surge Notes
Bali 91% +22% Peak tourism
Phuket 88% +20% Beach season
Bangkok 74% +10% Events & nightlife
Singapore 79% +12% Transit travellers
Table 4: Minimum Stay & Price Surge Example
Location Minimum Stay Normal Price Holiday Price Surge %
Miami 3 nights $215 $480 +123%
Paris 2 nights €160 €310 +93%
Bali 4 nights $140 $280 +100%
Table 5: Host Level Behavior – Discounts
City Discount Usage % Last-Minute Discounts Notes
Miami 42% Moderate Strong demand, less discounting
London 55% High Price-sensitive travellers
Bali 27% Low High occupancy
NYC 48% Moderate Strong December demand

Key Insights & Findings

A. December Sees Highest Occupancy of the Year

Across most cities, occupancy rises 20–40% above November levels.

B. Beach Destinations Lead Global Occupancy

Bali, Phuket, Miami all show 85–93% occupancy.

C. Europe Sees Strong Christmas Tourism

Paris and Amsterdam maintain consistently high bookings.

D. Minimum Night Restrictions Increase During Festive Weeks

Hosts impose:

  • 2–4 night minimum during Christmas week
  • 3–7 night minimum in Bali, Phuket, Dubai
E. Nightly Prices Surge 50–120%

Holiday season brings:

  • High demand
  • Reduced supply
  • Premium pricing
F. Vrbo Shows Higher Occupancy for Family Stays

Vrbo dominates:

  • Villas
  • Larger units
  • Long-duration stays

Airbnb dominates:

  • Solo travellers
  • Couples
  • Short trips
G. Last-Minute Discounts Decrease for December

High demand = fewer discounts.

City-Level Deep Dive

Miami
  • Occupancy 87%
  • Highest price surge
  • Popular for luxury villas and beachfront condos
Paris
  • Consistent demand from Christmas tourists
  • 2–3 night stays dominate
  • High occupancy near landmarks
Bali
  • December is peak season
  • High nightly rates
  • Minimal discounting
Dubai
  • 80–88% occupancy
  • High demand due to events & tourism
  • Large villas show early sell-out
New York
  • New Year week drives peak occupancy
  • Strong demand for Times Square & Manhattan rentals

Actowiz Solutions' Technical Workflow

1. Multi-Platform Calendar Monitoring

Tracks booked vs unavailable status.

2. Dynamic Pricing Extraction

Extracts nightly price changes:

  • Weekday
  • Weekend
  • Holiday periods
3. Minimum Night & Fee Analysis

Monitors:

  • Cleaning fee
  • Service fee
  • Security deposits
4. Occupancy Heat Mapping

Visualizes demand pockets across cities.

5. Seasonality Predictor

Identifies future trends using past and real-time data.

6. Exportable Dashboards

Provides:

  • CSV datasets
  • Heatmaps
  • Daily occupancy curves
  • Price volatility charts

Business Impact

STR Owners Improved Pricing Strategy

Better visibility of:

  • Demand peaks
  • Surge windows
  • Optimal minimum stays

Property Managers Reduced Vacancy

Used occupancy trends to optimize calendar settings.

Travel Companies Provided Accurate Recommendations

Offered better travel planning insights for clients.

Investors Identified High-Yield Markets

Especially Bali, Miami, Dubai and Phoenix.

Platforms Improved STR Competitiveness

Leveraged intelligence for marketplace ranking and dynamic pricing.

Why Actowiz Solutions Was the Right Fit

Actowiz Solutions provided:

  • Accurate Airbnb & Vrbo scraping
  • High-frequency occupancy tracking
  • Global STR coverage
  • Clean, structured datasets
  • City-level & host-level insights
  • Holiday season volatility mapping

Actowiz Solutions is a leader in short-term rental analytics, STR occupancy tracking, and vacation rental intelligence.

Conclusion

The December STR market is highly dynamic, with strong occupancy and high price volatility.

With Actowiz Solutions’ Airbnb & Vrbo Occupancy Intelligence, businesses gained:

  • Accurate occupancy trends
  • City-level demand spikes
  • Nightly pricing visibility
  • Seasonal behaviour patterns
  • Host-level discount tracking
  • Reliable short-term rental forecasting

This case study shows how structured STR intelligence enables smarter decisions for property managers, investors, travel platforms and hosts.

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How We Solved Real-Time Competitive Monitoring Challenges with AI-Based Zara Fashion Product Scraping for a Retail Client

AI-powered Zara product scraping enabled real-time competitive insights, automated tracking, and improved pricing decisions for our retail client.

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Comparing Medicine Prices in Mumbai vs Delhi Using Real-Time 1mg Data

Comparing medicine prices in Mumbai vs Delhi using real-time 1mg data to analyze price differences, availability, and savings across cities.

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Manual Data Collection vs Automated Scraping — Which Saves More Time & Cost?

Discover the key differences between manual data collection and automated web scraping. Learn which method saves more time, reduces costs, and improves efficiency for your business in 2026.

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10 Ways Data Scraping Drives Business Growth & Market Intelligence

Discover 10 powerful ways data scraping boosts business growth, from competitive price intelligence and demand forecasting to inventory tracking and market monitoring.

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Grocery Price Movement Tracker – Walmart, Instacart & Target

Real-time grocery price changes across Walmart, Instacart and Target. Track top SKU drops, increases and hourly volatility with Actowiz Solutions.

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Amazon Sports And Fitness Market Analysis - Key Insights From Our Analysis Of 1896 Products

Amazon Sports And Fitness Market Analysis covering pricing trends, competition insights, and key findings from 1896 products.
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Gap vs American Eagle Data Scraping – The Financial Giant vs. The Physical Leader Divide

Gap vs American Eagle Data Scraping reveals e-commerce trends, sales performance, and market gaps between the financial giant and physical leader.
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Sephora vs Ulta Beauty Data Scraping Comparison - Extracting Prices, Ratings & Trends at Scale

In-depth research report comparing Sephora and Ulta Beauty data scraping, analyzing prices, ratings, product trends, and competitive insights at scale.
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