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Airbnb Occupancy Rate by City: Lisbon, Six Months

A market run: one hundred Lisbon listings, six calendar months each, in EUR. Group by month for the city's occupancy curve and by listing for who beats it; the nightly rate sample on each row turns occupancy into revenue. Split a big city into neighbourhoods to pass Airbnb's cap of about 280 listings per search. Cost: 600 occupancy rows at $0.002 = at most $1.20 a run.

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Airbnb Occupancy Rate Scraper — Nightly Rate, ADR & Market Data
Airbnb Occupancy Rate Scraper — Nightly Rate, ADR & Market Datakestrel/airbnb-occupancy-scraper
Id
Listing
Type
Location
+15 fields
Text
Number
Boolean
List
Object

Input

Places:Lisbon, Portugal
Max listings per place:100
Months:6
Currency:EUR

Output fields

Id
Listing
Type
Location
Month
Days counted
Free days
Booked/blocked
Occupancy %
Check-in days
Min nights
Next free
Nightly rate
Stay total
Stay nights
Sampled check-in
Rate
Currency
Airbnb

How it works

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The Airbnb Occupancy Rate Scraper — Nightly Rate, ADR & Market Data Actor is ready to run with the inputs already set for "Airbnb Occupancy Rate by City: Lisbon, Six Months". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Airbnb Occupancy Rate by City: Lisbon, Six Months" task

The Airbnb Occupancy Rate Scraper — Nightly Rate, ADR & Market Data Actor will start running based on the input automatically. You can also change all the input fields, like places, max listings per place, and more, to match your specific use case.

Receive the "Airbnb Occupancy Rate by City: Lisbon, Six Months" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as id, listing, type, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Airbnb Occupancy Rate by City: Lisbon, Six Months" task via API.

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