FREE!! AIRBNB / AIRDNA Data Course - Part 4.2 - Example of How You Extract Airbnb Data From AirDNA

John BianchiFeb 20, 202122m 59s3.3K viewsScore 75
Pricing & Profitability
intermediate
AirDNA data extraction
Airbnb data analysis
STR data spreadsheet
property valuation
cash flow analysis
M

Summary

AI-generated

This video provides a step-by-step walkthrough of extracting valuable Airbnb and AirDNA data into a spreadsheet. It covers best practices for data collection, including how to identify and record key metrics like revenue, occupancy, and nightly rates, as well as qualitative notes on listing quality.

Key insights

  • Defining custom 'neighborhood' borders based on main roads, geographical features, or data cutoff points can help group similar properties and attract similar guest types.

Mistakes to avoid

  • Ignoring listings with fewer than 20 reviews, especially if they also have a low number of occupied days, can lead to incomplete or skewed data analysis.

Tools & resources

  • AirDNA Market Bindertool

    AirDNA Market Binder is a key tool for extracting short-term rental market data, including occupancy rates, revenue, and nightly rates.

Frequently Asked Questions

Curated by Learn STR by GoStudioM · Summary & key insights generated by AI · Reviewed by editorial