Airbnb has over 7 million listings in 220 countries, making it the largest short-term rental marketplace in the world. For revenue management tools, real estate investors, property managers, travel researchers, and market intelligence platforms, Airbnb data is genuinely valuable — but the platform has no public API for bulk listing access.
Airbnb’s anti-automation systems are among the most sophisticated in the travel sector, and they’ve gotten significantly harder to work with since 2024.
Airbnb uses multi-layer bot detection. The platform fingerprints the browser environment at the JavaScript level, analyzes request timing patterns, and serves CAPTCHA challenges to sessions that look automated. Residential proxies alone are not sufficient — the session must look behaviorally consistent over time.
The search results problem: Airbnb’s search results are personalized. The same search query returns different listings for different users based on account history, location, and previous searches. To get representative market data rather than personalized results, scrapers need to maintain clean, neutral sessions — not re-used authenticated accounts.
Pricing is another complexity: Airbnb shows “per night” prices that are calculated differently depending on the length of stay entered, the number of guests, and whether cleaning fees are displayed inline or separated. Without controlling these parameters carefully, price comparisons across listings become meaningless.
We maintain an Airbnb Scraper on Apify that handles session management, bot detection, and data normalization. You provide a location and date range; it returns clean structured JSON for all matching listings.
{
"location": "Lisbon, Portugal",
"checkIn": "2026-07-10",
"checkOut": "2026-07-14",
"adults": 2,
"maxResults": 50,
"currency": "EUR"
}{
"listingId": "12345678",
"name": "Bright Apartment in Bairro Alto with Terrace",
"propertyType": "Entire apartment",
"roomType": "Entire home/apt",
"maxGuests": 4,
"bedrooms": 2,
"bathrooms": 1,
"coordinates": {"lat": 38.7139, "lng": -9.1449},
"pricePerNight": 89.00,
"cleaningFee": 35.00,
"serviceFee": 28.00,
"totalPrice": 427.00,
"currency": "EUR",
"checkIn": "2026-07-10",
"checkOut": "2026-07-14",
"rating": 4.87,
"reviewCount": 312,
"ratingBreakdown": {
"cleanliness": 4.9,
"accuracy": 4.8,
"checkIn": 4.9,
"communication": 5.0,
"location": 4.8,
"value": 4.7
},
"host": {
"name": "Maria",
"isSuperhost": true,
"responseRate": 99,
"totalListings": 3
},
"cancellationPolicy": "Flexible",
"url": "https://www.airbnb.com/rooms/12345678",
"imageUrl": "https://a0.muscache.com/example.jpg"
}| Field | Type | Description |
|---|---|---|
listingId | string | Airbnb listing ID |
propertyType | string | Entire apartment, private room, shared room, etc. |
pricePerNight | float | Base nightly rate for given dates |
cleaningFee | float | One-time cleaning fee |
totalPrice | float | All-in price for the full stay |
rating | float | Overall rating (0-5) |
host.isSuperhost | boolean | Whether host has Superhost status |
ratingBreakdown | object | Six sub-category ratings |
Output is available as JSON, CSV, or XLSX. Market analysis runs can be scheduled on Apify to track pricing trends and availability changes in target markets over time.
The actor uses Pay Per Event pricing at $0.005 per listing result.
| Volume | Cost |
|---|---|
| 100 listings | $0.50 |
| 500 listings | $2.50 |
| City market analysis (300 listings) | $1.50 |
| Weekly price tracking (100 listings) × 4 weeks | $2.00/month |
Apify has a free tier for testing. Sign up here if you do not have an account. The actor connects to Apify’s scheduling, storage, and webhook APIs for automated market monitoring pipelines.