Airbnb Occupancy & Dynamic Pricing Scraper avatar

Airbnb Occupancy & Dynamic Pricing Scraper

Pricing

from $3.00 / 1,000 airbnb listing calendar analyzeds

Go to Apify Store
Airbnb Occupancy & Dynamic Pricing Scraper

Airbnb Occupancy & Dynamic Pricing Scraper

Scrape forward calendar availability and dynamic nightly prices for any Airbnb listing. Calculate real occupancy rates, booked vs available nights, average daily rate (ADR), and monthly revenue projections.

Pricing

from $3.00 / 1,000 airbnb listing calendar analyzeds

Rating

0.0

(0)

Developer

Axery

Axery

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

4 days ago

Last modified

Categories

Share

🏠 Airbnb Occupancy & Dynamic Pricing Scraper

Professional data intelligence tool for short-term rental (STR) investors, property managers, and co-hosts. Extract forward availability calendars, track dynamic nightly rates, and compute realistic occupancy percentages and monthly revenue projections with zero browser overhead.


⚡ Key Features

  • 📅 Forward Calendar Analysis: Evaluates availability and pricing across 1 to 12 forward months.
  • 📊 Automatic Occupancy Metrics: Computes exact occupancy rate (% of nights booked vs available).
  • 💵 Revenue Modeling: Calculates average daily rate (ADR), min/max seasonal prices, and projected gross monthly revenue.
  • ⚡ Zero Headless Overhead: Ultra-fast HTTP extraction via official embedded states, delivering instant results.

📥 Input Parameters

ParameterTypeDefaultDescription
listingUrlsArray["https://www.airbnb.com/rooms/1031306637376722881"]Airbnb room URLs or numeric IDs.
monthsInteger3Number of forward calendar months to evaluate (1 to 12).
currencyString"USD"Preferred currency code.
proxyConfigurationObjectnullApify Proxy configuration.

📤 Sample Output

{
"listing_id": "1031306637376722881",
"listing_name": "Luxury Beachfront Villa with Private Infinity Pool",
"listing_url": "https://www.airbnb.com/rooms/1031306637376722881",
"occupancy_rate_pct": 71.1,
"total_days_evaluated": 90,
"booked_days": 64,
"available_days": 26,
"avg_nightly_price": 245.5,
"min_nightly_price": 195.0,
"max_nightly_price": 350.0,
"currency": "USD",
"monthly_projected_revenue": 5231.42,
"calendar_days": [
{ "date": "2026-09-12", "available": false, "price": 245.5 },
{ "date": "2026-09-13", "available": true, "price": 245.5 }
]
}