Airbnb Scraper 🏠 Price Monitoring & Market Research

Scrape Airbnb search results into clean JSON, with reliable nightly prices and each listing's raw availability calendar. Paste an Airbnb search URL (or just a place name) and get every listing in the area: name, property type, exact nightly price, rating, review count, coordinates, bedrooms/beds/baths, host type, Superhost and Guest-Favorite badges and photos, plus, on demand, the listing's day-by-day availability calendar. No login, no API key, no cookies to paste.

Built for market research, price monitoring, travel planning, competitor tracking and AI agents (REST API + MCP).

What a typical (free-tier) buyer actually pays

Compared against the Apify Store's dominant Airbnb scraper on 2026-08-09 — same free tier, same all-in basis (their listed price, plus on our side the platform/proxy usage billed to you alongside ours):

	Free-tier price	All-in, typical run	All-in, worst case
This actor	$1.00 / 1,000 listings	≈ $1.07–$1.15 / 1,000	≈ $2.75 / 1,000
Leading rival (15.8k lifetime users, 2.5★)	$6.00 / 1,000 listings, before any platform cost	$6.00 / 1,000	$6.00 / 1,000

The actor tries a datacenter proxy first and only falls back to residential when Airbnb refuses it, which is what keeps the typical run's usage down to single-digit cents per 1,000. The worst case is a small first-ever run that also has to re-mint the calendar query hash in a browser — a once-a-month-ish event, not a per-run one (the hash minted 2026-07-10 was still valid 30 days later).

Honest limits: the rival's price is a measured snapshot from one day, and our own all-in figures are modelled from measured page weights and measured Apify unit rates rather than read off a bill. Check this actor's pricing page and your own usage for the current numbers.

Why this Airbnb scraper

The popular Airbnb actors have three chronic complaints: unreliable prices, the ~270-results-per-search ceiling, and no availability data. This one fixes all three:

• 💶 The nightly rate is read straight from Airbnb's own price breakdown ("5 nights x $96.98") instead of a screen-scraped headline, so what you get is discount-free and per-night — always in the currency you asked for.
• 🗺️ When a search maxes out at Airbnb's ~270-result cap, the actor automatically splits the map into quadrants and searches each tile (geo-tiling), which is how it ends up covering whole cities rather than just a slice.
• 📅 Availability calendar included: turn on the option and get an opt-in raw calendar per listing, with every future day marked available, minNights and bookable. Other scrapers don't return this at all.
• 🔔 Monitor mode lets you schedule the actor and get only NEW listings per run, with an optional Slack digest, and you're charged for new listings only.
• 🤖 You pay per listing actually returned, not per attempt.

What you can do with it

• Track nightly rates for an area (or a competitor set) over time, in any currency: classic price monitoring.
• Pull inventory, prices, ratings and host mix (private vs professional) for any city or neighborhood, which is the basis of solid market research.
• Pull raw calendars to see open vs blocked nights per listing, useful for availability analysis.
• Pair monitor mode with a schedule so you get a live feed of newly listed properties, essentially fresh-supply alerts.
• Feed AI agents structured Airbnb data over REST or MCP.

💡 Want occupancy %, RevPAR, projected revenue and market-level reports computed for you? That's what our companion actor, Airbnb Occupancy & Revenue Estimator, is for: it turns this raw data into AirDNA-style yield analytics.

Quick start

{
    "searchUrls": ["https://www.airbnb.com/s/Paris/homes"],
    "maxListings": 500
}

Or skip the URL and use place names + dates (dated searches return exact quoted prices):

{
    "locationQueries": ["Lisbon", "Porto"],
    "checkIn": "2026-08-01",
    "checkOut": "2026-08-08",
    "adults": 2,
    "currency": "USD",
    "includeCalendar": true,
    "calendarMonths": 6
}

Output (per listing)

{
    "source": "Airbnb",
    "id": "51692151",
    "url": "https://www.airbnb.com/rooms/51692151",
    "name": "Charming flat near Montmartre",
    "propertyType": "Apartment",
    "city": "Paris",
    "latitude": 48.884,
    "longitude": 2.337,
    "bedrooms": 1,
    "beds": 2,
    "bathrooms": 1,
    "hostType": "Private host",
    "isPrivateHost": true,
    "rating": 4.95,
    "reviewCount": 122,
    "isGuestFavorite": true,
    "superhost": false,
    "pricePerNight": 96.98,
    "priceSource": "breakdown",
    "displayTotalPrice": 484.9,
    "currency": "EUR",
    "photos": ["https://a0.muscache.com/im/pictures/..."],
    "calendar": [
        { "date": "2026-07-07", "available": true, "minNights": 2, "bookable": true },
        { "date": "2026-07-08", "available": false, "minNights": 2, "bookable": false }
    ],
    "calendarDays": 184,
    "scrapedAt": "2026-07-06T10:00:00.000Z"
}

Pricing

Pay per event, no subscription:

Event	Price	When
Listing scraped	$1.00 / 1,000	Per unique listing returned
Calendar fetched	$0.50 / 1,000	Per listing calendar attached (only with includeCalendar)
Actor start	$0.00005 (≈ zero)	Once per run

Apify platform usage (compute + residential proxy) is billed separately at platform rates.

FAQ

How do I scrape more than 270 listings for a city? Nothing to configure. Airbnb caps any single search at ~270 results; the actor detects the cap and recursively splits the map area into quadrants, de-duplicating listings across tiles.

Are the prices accurate? The nightly rate comes from Airbnb's own price breakdown when available (priceSource: "breakdown"), which is the true per-night figure without the discount/total ambiguity. Add checkIn/checkOut for exact quoted prices for your dates; undated searches show Airbnb's default-window prices.

What's in the calendar, exactly? Airbnb's public per-day availability: available, minNights, bookable for up to 12 months ahead. It does not distinguish bookings from host blocks, so for inferred occupancy, RevPAR and revenue projections, use the STR Yield actor.

Which Airbnb domains work? Any of them: airbnb.com, airbnb.fr, airbnb.co.uk and so on.

What currency are the prices in? Whatever the currency input says — an ISO-4217 code, default USD. Every search is requested in that currency and every row carries it in the currency field, so a single run is never a mix. Set currency to EUR, GBP, … to change it. (Before 2026-08-09 the denomination followed the proxy exit IP instead; USD is what that exit produced, so the default keeps the old behaviour.)

Do I need to log in or provide cookies? No. The actor reads the same public data the search page renders server-side, plus Airbnb's public calendar API.

How do I export the data? Through Apify's dataset export (CSV, Excel or JSON), or the API .../dataset/items?format=csv.

Is it reliable? No hardcoded API hashes: the actor mints Airbnb's rotating calendar-query hash at runtime from a real page, so Airbnb front-end deploys don't break it, and it caches the hash between runs so it only re-mints when Airbnb actually rotates it. Proxying steps down a ladder — datacenter first, residential as the fallback — and the run log names the rung it landed on, so a run's cost is always explainable.

Can I use it with AI agents? Yes, via REST API and MCP.

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Something missing?

If you need an extra field, another source, or a different output, open an issue on this Actor and describe it. I read every request and small additions usually ship within days. More data and lead generation Actors are on my profile.

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