Airbnb API Scraper

Extract Airbnb listings, details, ratings, and guest reviews straight from Airbnb's own mobile GraphQL API — no HTML parsing, no browser, no login required. Just give it a destination and check-in/check-out dates and it returns clean, structured JSON for every matching listing. Try it directly on Airbnb.

Run on the Apify platform to get instant API access to results, scheduling, webhooks, and dataset export in JSON, CSV, Excel, HTML, or XML — no infrastructure to maintain.

Why use Airbnb API Scraper?

• Market research — compare pricing, amenities, and guest ratings across a destination.
• Competitor monitoring — track how similar listings are priced and reviewed over time.
• Lead generation — build a dataset of hosts/listings in a target area for outreach or analysis.
• Review mining — pull guest review text at scale for sentiment analysis or reputation tracking.

How to use Airbnb API Scraper

1. Click Try for free.
2. Enter one or more destinations in Search queries (e.g. Chiang Mai, Thailand).
3. Set Check-in date and Check-out date.
4. Optionally cap Max listings per search query and Max reviews per listing.
5. Click Start and download your results from the Dataset tab once the run finishes.

Input

Configure the Actor via the Input tab. Key fields:

Field	Description
searchQueries	Destination search terms (city/region names), one per line.
checkIn / checkOut	Stay dates in YYYY-MM-DD format.
maxListingsPerQuery	Cap on listings scraped per destination (0 = all results).
scrapeListingDetails	Fetch full listing detail per result (description, amenities, rating).
scrapeReviews	Fetch guest reviews per listing (requires listing details).
maxReviewsPerListing	Cap on reviews fetched per listing (0 = skip reviews).
proxyConfiguration	Optional Apify Proxy config; not required for the API to respond, but recommended for larger runs.

{
    "searchQueries": ["Chiang Mai, Thailand"],
    "checkIn": "2026-09-01",
    "checkOut": "2026-09-03",
    "maxListingsPerQuery": 20,
    "scrapeListingDetails": true,
    "scrapeReviews": true,
    "maxReviewsPerListing": 20
}

Output

One dataset item per listing, e.g.:

{
    "searchQuery": "Chiang Mai, Thailand",
    "listingId": "RGVtYW5kU3RheUxpc3Rpbmc6MjUxMTk5MDk=",
    "name": "M.I.N.D. Villa 3",
    "url": "https://www.airbnb.com/rooms/25119909",
    "checkIn": "2026-09-01",
    "checkOut": "2026-09-03",
    "rating": 4.84,
    "reviewsCount": 340,
    "price": "$39",
    "priceQualifier": "total",
    "title": "M.I.N.D. Villa 3",
    "propertyType": "Private room in serviced apartment in Chiang Mai, Thailand",
    "description": "A new renovated place in the heart of old town, Chiang Mai city, ...",
    "checkInTime": "Check-in: 1:00 PM - 12:00 AM",
    "checkOutTime": "Checkout before 11:00 AM",
    "guests": 2,
    "bedrooms": 1,
    "beds": 1,
    "baths": 1,
    "amenities": ["Wifi", "Air conditioning", "Free parking on premises", "..."],
    "photos": ["https://a0.muscache.com/im/pictures/....jpg", "..."],
    "location": { "subtitle": "Chiang Mai, Thailand", "lat": 18.7837, "lng": 98.9817 },
    "host": {
        "name": "Patanapol",
        "isSuperhost": true,
        "isVerified": true,
        "yearsHosting": 8,
        "ratingAverage": 4.84,
        "ratingCount": 1236,
        "responseRate": "Response rate: 100%",
        "responseTime": "Responds within an hour"
    },
    "reviewsScraped": 20,
    "reviews": [
        { "id": "...", "rating": 5, "comments": "Great stay, ...", "createdAt": "...", "reviewer": "Alex" }
    ]
}

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel from the Dataset tab or via the API.

Data table

Field	Description
listingId	Airbnb internal listing ID (base64).
name	Listing title.
url	Public airbnb.com/rooms/<id> URL.
checkIn / checkOut	Trip dates from the Actor input, echoed on every item.
checkInTime / checkOutTime	This listing's check-in/checkout time window (e.g. "Check-in: 1:00 PM - 12:00 AM"), when Airbnb reports one.
rating / reviewsCount	Average guest rating and total review count reported by Airbnb.
price / priceQualifier	Displayed price for the search dates and what it covers (e.g. "total").
propertyType, description, guests, bedrooms, beds, baths	Listing detail fields.
amenities	Flat list of amenity names.
photos	Listing photo URLs.
location	Neighborhood/city text plus approximate lat/lng.
host	Host name, Superhost/verification status, tenure, rating, response stats.
reviewsScraped	Number of reviews actually fetched in this run.
reviews	Array of scraped review objects (rating, comment text, author, date).

Cost estimation

This Actor calls Airbnb's API directly (no browser rendering), so it's cheap to run — expect a few hundred listings with details and reviews to use well under 1 compute unit on the Apify free tier.

Tips

• Leave maxListingsPerQuery at a modest value while testing; raise it once you've confirmed the destination resolves the results you expect.
• Set scrapeReviews: false (or maxReviewsPerListing: 0) if you only need listing metadata — this significantly reduces run time and requests for large searches.

FAQ

Is this legal? This Actor only calls Airbnb's own publicly reachable API with the same requests the official Airbnb app makes. You are responsible for using scraped data in compliance with Airbnb's Terms of Service and applicable law in your jurisdiction.

Do I need an Airbnb account or API key? No — the underlying API endpoints used here require no authentication.

Something's not working / I need a custom feature. Open an issue on the Actor's Issues tab, or reach out about a custom scraping solution.