Real-time market analysis for Airbnb hosts. See what comparable listings charge, get a specific price recommendation, and estimate your monthly revenue.
Navigate to any listing on airbnb.com — your own or a competitor's. AirPrice detects the listing automatically and activates.
AirPrice fetches real-time data from 30+ comparable listings in the same city with the same bedroom count and room type.
See the full price distribution, a specific recommended price, your estimated monthly revenue, and 6 weekends of demand data.
Most dedicated Airbnb pricing tools are built for professional property managers running large portfolios. Here's how AirPrice compares:
| Tool | Price | How it works | Best for |
|---|---|---|---|
| AirPrice | Free – $9.99/month | Chrome extension, live Airbnb data, instant market rate on any listing page | Individual hosts & occasional analysis |
| PriceLabs | ~$30/month per listing | Standalone SaaS, dynamic pricing automation via Airbnb API sync | Multi-listing professional managers |
| Wheelhouse | ~$20/month per listing | Revenue management platform with performance benchmarking | Mid-size operators |
| AirDNA | ~$40+/month | Market data platform with historical revenue & occupancy analytics | Market research & acquisition decisions |
AirPrice uses live Airbnb search data — not historical databases — to calculate a rate recommendation. When you click Analyze Market on a listing page, AirPrice searches Airbnb for active listings in the same city with the same number of bedrooms, same room type (entire place, private room, etc.), and the same upcoming weekend dates. It collects the nightly rates from the first page of results — typically 20–40 comparable listings.
From those comparables, AirPrice calculates the 25th percentile (budget tier), the median (market rate), and the 75th percentile (premium tier). The recommended price is set just below the median — positioning your listing competitively while leaving room above the budget tier. You can see the full distribution and override the recommendation with your own rate.
The revenue estimate multiplies the recommended nightly rate by 20 days per month (a conservative 65% occupancy assumption), giving an estimated monthly gross revenue figure. Actual occupancy varies by market, season, and listing quality.
Real analysis — 1-bedroom in San Francisco, upcoming weekend
Free to install. 5 market analyses per month, no credit card required.
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