Airbnb Scraper — Vacation Rental Prices & Availability

Airbnb Scraper extracts Airbnb listings for any place and dates: the price for the stay and per night in the currency you choose, rating and review count, property type and area, coordinates, bedrooms and beds, Guest favorite and Superhost badges, and photos. Switch on details and every listing also comes with its description, the full amenities list by group, the host with response rate and time, guest capacity, bathrooms, the six category sub-scores, cancellation policy and house rules; switch on the calendar for minimum nights, day-by-day availability and occupancy per month, and reviews for the guest reviews with the host's replies — all on the same listing row. It reads the data Airbnb renders into its own pages, so there is no browser and no login — a search of sixty listings takes a few seconds and costs a fraction of a cent in platform usage. Airbnb stops a search after about 270 results whatever the page claims; this Actor keeps going through price bands and de-duplicates by listing, so 400 listings for Seminyak came back from one run in 36 seconds.

Give it a place the way you would type it into Airbnb, a check-in and check-out date and the party size, or paste Airbnb search URLs with your own filters, or listing URLs to open in full. Export as JSON, CSV or Excel, run it on a schedule, or call it from the API and AI agents.

Tested head-to-head — 23 September 2026

Same search for every scraper (Seminyak, Bali, 10–15 Nov 2026, 2 adults, 50 listings) against four popular Airbnb scrapers in the Store. This Actor returned all 50 listings with 97% of fields filled, has 0% failed runs over the last 30 days, and gives prices as numbers — total, per night and original — so they sort and sum in a spreadsheet without cleanup. From 7 October 2026 the price is $1.20 per 1,000 listings.

What is Airbnb Scraper?

It is an Airbnb data scraper for people who need listing prices and availability as a table rather than a screen: hosts and property managers comparing their rates with the street, analysts sizing a short-term rental market, travel apps, and anyone building a price watch for a destination. It answers "what does a two-bedroom in Canggu cost that week", "which villas in Ubud are Guest favorites under $80 a night" and "what amenities does this listing actually have".

What data can Airbnb Scraper extract?

Field	Example
name, propertyType, area	Hidden Point Villa "WOODEN HOUSE" · Villa · Ubud
priceTotal, pricePerNight, currency, nights	159 · 53 · USD · 3
priceOriginal	210 — the struck-through price when a discount is shown
rating, reviewCount	4.97 · 346
badges, isGuestFavorite	["Guest favorite"] · true
bedInfo	["1 bedroom", "1 queen bed", "1 bath"]
highlights	["Free cancellation", "Book early to save"]
latitude, longitude	-8.5069 · 115.2625 (approximate, as Airbnb shows before booking)
images	photo URLs
checkIn, checkOut, adults	the dates and party the price was quoted for
url, listingId, position, page, place	link, id, order collected, page, how Airbnb understood the place

With Open every listing page switched on:

Field	Example
description	Full text, HTML removed
amenities, amenityGroups	45 items, grouped as Bathroom, Bedroom and laundry, Entertainment…
hostName, isSuperhost, hostingSince	I Wayan · true · 8 months hosting
personCapacity, bedrooms, beds, bathrooms	2 · 1 · 1 · 1
roomType, propertyTypeDetail, overviewTitle	Entire home/apt · Entire villa · Entire villa in Ubud, Indonesia
ratingAverage, ratingCount, reviewTags	4.97 · 346 · Pool 133, Hospitality 300, Breakfast 149
sleepingArrangements, highlightsDetail	["1 queen bed"] · ["Outdoor entertainment"]
locationText, isExactLocation	Ubud, Bali, Indonesia · false
hostResponseRate, hostResponseTime, hostIsAirbnbManaged	98 · within an hour · false
ratingDistribution	{stars5: 91.7, stars4: 8.3, stars3: 0, …} — share of reviews per star
categoryRatings	{cleanliness: 4.8, accuracy: 4.9, check_in: 5, communication: 4.7, location: 4.8, value: 4.9}
discountPercent	19 — how far the nightly price sits below the struck-through original
cancellationPolicy	Free cancellation for 24 hours. Cancel before October 8 for a partial refund.
houseRules, checkInTime, checkOutTime, safetyItems	["Check-in after 3:00 PM", "Checkout before 12:00 PM", "4 guests maximum"] · 3:00 PM · 12:00 PM · ["Smoke alarm not reported"]

With Availability calendar and minimum nights switched on:

Field	Example
minNights, maxNights, availableOnCheckIn	2 · 1125 · true
availabilityByMonth	[{month: 2026-10, days: 31, available: 10, occupancyPercent: 68}, …]
availableDaysAhead, calendar	21 · one entry per day with available, bookable, check-in/out allowed, min and max nights

With Guest reviews switched on:

Field	Example
reviews	[{rating: 5, date: "3 weeks ago", text: "Great stay, fantastic location…", reviewerName: "Jenny", reviewerLocation: "Sydney, Australia", hostResponse: null}, …]

What other Airbnb scrapers get wrong — and what this one does instead

The issue trackers and reviews of the most-used Airbnb scrapers on Apify repeat the same complaints. Each one is a design decision here.

Complaint on other actors	Airbnb Scraper
"Only 41 results returned when Airbnb shows 478", "requested 2,000 items, received 243"	Plain paging is the first pass, then the same search runs again in nine price bands and every listing is kept once — 400 for Seminyak in one run, measured
"checkIn date not being read from startUrls"	Dates and guests in a pasted search URL win over the form, per URL
"Add minimum nights to output" — open on the leading actor for weeks	minNights and maxNights on the check-in date, plus the day-by-day calendar and occupancy per month
Reviews only through a second, separate actor	reviews on the listing row, up to 200, with the host's replies
"not scraping descriptions", "half the titles missing", "bed and bath not available"	Every field is read from the JSON Airbnb ships in its own page, not from the layout — description, title, beds, baths, amenities on every detailed row
"Charged me despite the limits", "no data returned but charged"	Billing is per listing row and per opened page; error rows and empty searches cost nothing, and maxListings is a hard cap
"Can't export data if it's too much"	Rows are flat, one per listing; arrays are short lists, not nested blobs
"Wrong price"	Total for the stay, average per night, the struck-through original and the discount in percent — and the dates and party the quote was for on the same row

How much does it cost to scrape Airbnb?

Until 22 September 2026 this Actor still bills on Apify platform usage, not on the prices below. The per-event pricing on this page takes effect on 22 September 2026; the Pricing tab shows whichever model is active today. Runs before that date are charged as compute and proxy usage, which for a small test is a few cents.

Pricing is pay per listing: $3.00 per 1,000 listings returned, and $4.44 per 1,000 listings opened in full for the description, amenities, host and sub-scores. The most-used Airbnb scraper on Apify charges $4.00 and $6.00 for the same two things — this one is a quarter cheaper on both, with no start fee. There is no browser in this Actor, so platform usage stays low — a search page is one plain request and a listing page one more. Error rows and empty searches are never charged. Bronze, Silver and Gold plans get 10 %, 20 % and 30 % off.

Bulk export: what 50,000 listings actually cost

This Actor is built for bulk jobs — put hundreds of inputs into one run, or call it from the API on a schedule. There is no fee per run, no fee per page and no proxy charge: you pay for the rows you keep, and error rows are free. That is what decides the bill once you pull a whole market rather than a single search.

Job	This Actor	Most-used Actor in this category
50,000 listings across 100 runs	$150	$200.01

Checked on the Apify Store on 21 September 2026 against the Actor with the most monthly users in this category; its per-run fee is counted in, as ours would be if we charged one. Some Actors here ask less per row — this table compares against the one buyers actually use most.

How to scrape Airbnb listings

1. Type the place into 📍 Where — Ubud, Bali, Lisbon, Portugal, Brooklyn, NY. Several places, one per line, run in one go.
2. Set 📅 Check-in and 📅 Check-out. Airbnb quotes a price only for a date range; without dates the Actor searches a stay one month out and says so in the log.
3. Set 👥 Adults to the real party size — prices change with occupancy.
4. Choose 💯 Maximum listings and 💱 Currency.
5. Switch on 🔎 Open every listing page if you need amenities, description and host.
6. Click Start, then export from the Output tab or read the dataset through the API.

To use Airbnb's own filters, run the search on airbnb.com, copy the URL from the address bar and paste it into 🔗 Airbnb URLs — every filter in that URL is honoured. Listing URLs pasted there are always opened in full: name, description, amenities, sleeping arrangements, house rules, host, rating and coordinates. Prices are the one thing a listing URL cannot give you — Airbnb quotes a stay inside a search, so run a place or a search URL when you need nightly and total price.

⬇️ Input

{
  "locationQueries": ["Ubud, Bali, Indonesia"],
  "checkIn": "2026-10-12",
  "checkOut": "2026-10-15",
  "adults": 2,
  "currency": "USD",
  "maxListings": 60,
  "includeDetails": false
}

Filtered search from an Airbnb URL

{
  "startUrls": ["https://www.airbnb.com/s/Canggu--Bali--Indonesia/homes?checkin=2026-11-03&checkout=2026-11-06&adults=2&min_bedrooms=2&price_max=150"],
  "maxListings": 100
}

One listing in full

{
  "startUrls": ["https://www.airbnb.com/rooms/1591176990185841592"],
  "checkIn": "2026-10-12",
  "checkOut": "2026-10-15"
}

Occupancy and minimum stay for a market

{
  "locationQueries": ["Seminyak, Bali, Indonesia"],
  "maxListings": 100,
  "includeCalendar": true,
  "calendarMonths": 3
}

Every listing comes back with minNights, availableOnCheckIn and availabilityByMonth — a hundred properties' occupancy for the next quarter in one table.

Reviews for a shortlist

{
  "startUrls": ["https://www.airbnb.com/rooms/43597370", "https://www.airbnb.com/rooms/1591176990185841592"],
  "includeReviews": true,
  "maxReviews": 100
}

⬆️ Output

{
  "type": "listing",
  "listingId": "30279779",
  "url": "https://www.airbnb.com/rooms/30279779",
  "name": "Hidden Point Villa \"WOODEN HOUSE\"",
  "propertyType": "Villa",
  "area": "Ubud",
  "latitude": -8.5069,
  "longitude": 115.2625,
  "priceTotal": 159,
  "priceOriginal": null,
  "pricePerNight": 53,
  "priceText": "$159",
  "priceQualifier": "for 3 nights",
  "currency": "USD",
  "nights": 3,
  "rating": 4.97,
  "reviewCount": 346,
  "badges": ["Guest favorite"],
  "isGuestFavorite": true,
  "bedInfo": ["1 bedroom", "1 queen bed", "1 bath"],
  "highlights": ["Free cancellation"],
  "images": ["https://a0.muscache.com/im/pictures/…"],
  "query": "Ubud, Bali, Indonesia",
  "place": "Ubud, Indonesia",
  "checkIn": "2026-10-12",
  "checkOut": "2026-10-15",
  "adults": 2,
  "position": 1,
  "page": 1,
  "scrapedAt": "2026-09-03T14:00:00.000Z"
}

With details on, the same row also carries description, amenities, amenityGroups, hostName, isSuperhost, hostingSince, personCapacity, bedrooms, beds, bathrooms, roomType, ratingAverage, ratingCount, reviewTags, sleepingArrangements, locationText and isExactLocation. A page that could not be read arrives as a type: "error" row with the URL and the reason, never as a silently missing listing.

Use cases for Airbnb data

Pricing your own place

Pull every comparable listing in your area for the same dates and see where your nightly rate sits, which badges the competition carries, and what they offer that you do not.

Sizing a short-term rental market

Count listings, property types, ratings and prices for a town before buying or managing there. Run it monthly and keep the history.

Watching prices for a trip

Schedule the same search weekly and watch pricePerNight move for the dates you want.

Travel and property products

Feed listings, coordinates and prices into a map, a comparison page or a recommendation model without maintaining a scraper of your own.

AI agents

An agent asked "find me a villa in Ubud with a pool under $80" can call this Actor with the place, dates and a price cap, and filter on amenities.

Integrations and Airbnb API

Run it from the Apify API, the JavaScript and Python clients, a schedule, or a webhook, and push the dataset to Google Sheets, Slack or a database through n8n, Make or Zapier. Airbnb has no public API for this data; the Actor is the practical substitute.

🤖 For AI Agents & LLM Apps

Compact reference for agents calling this Actor through the Apify MCP server or the Apify API (lergassy/airbnb-scraper).

Purpose: returns Airbnb listings for a place and a date range, priced for that stay, with rating, location, beds and badges — and, on request, the description, amenities, host and capacity of each listing. Use it to answer "what does a stay in X cost on these dates", "which listings in X have a pool and a 4.9+ rating" and "what does this listing offer".

Minimal input:

{ "locationQueries": ["Ubud, Bali, Indonesia"], "checkIn": "2026-10-12", "checkOut": "2026-10-15", "adults": 2 }

Output: one row per listing — listingId, url, name, propertyType, area, latitude, longitude, priceTotal, pricePerNight, priceOriginal, currency, nights, rating, reviewCount, badges, isGuestFavorite, bedInfo, highlights, images, place, checkIn, checkOut, adults, position, page, scrapedAt. With includeDetails: true also description, amenities, amenityGroups, hostName, isSuperhost, personCapacity, bedrooms, beds, bathrooms, roomType, ratingAverage, ratingCount, reviewTags, locationText, isExactLocation. Unreadable pages come back as type: "error".

Behaviors an agent should know:

• Prices exist only for a date range. Pass checkIn and checkOut; without them the Actor picks a stay one month out and logs it. priceTotal is for the whole stay, pricePerNight is derived from it.
• adults changes the price. Pass the real party size.
• maxListings (default 60) caps the run; Airbnb serves 18 per page and rarely more than about 270 per search, so ask for a narrower place rather than a bigger number.
• includeDetails costs one request per listing and is the only way to get amenities, description and host. Leave it off for price comparisons.
• Airbnb's own filters (price_max, min_bedrooms, room_types[]…) work through startUrls: paste a filtered search URL. priceMin, priceMax, minBedrooms, minBeds, minBathrooms and roomTypes cover the common ones directly.
• Coordinates are approximate until booking; isExactLocation says whether Airbnb shows the exact spot.
• rating and reviewCount are empty for new listings without reviews — not zero.
• Apify Proxy is on by default, because Airbnb rate-limits repeat callers by IP address. If Airbnb starts refusing pages mid-run, the Actor moves itself onto residential addresses and carries on; if it is refused there too, the run fails with the reason instead of handing you an empty table that says "succeeded".

Short-term rental data: nightly rates, availability and occupancy

Every listing comes back with the nightly rate and the total price for the dates you asked about, so the same run answers what a place costs and whether it is free. Run a city on a schedule and the results stack into an availability history — the raw material for occupancy and pricing research on a market, without paying for a short-term rental analytics subscription.

Rental prices by city, in one table

Give it several places at once and every row carries its own location, dates, currency, property type and bed count. That is a like-for-like comparison of holiday rental prices across cities, which is the question most people are actually asking when they open Airbnb with a spreadsheet next to them.

❓ FAQ

Is it legal to scrape Airbnb?

The Actor reads public listing pages and returns the information any visitor sees: prices, ratings, descriptions and amenities. It does not log in, does not collect guest data and does not bypass any access control. How you use the data is subject to your local law and Airbnb's terms — consult a lawyer for commercial use at scale.

Why does a listing show a different price on Airbnb?

Prices depend on dates, party size and currency. The Actor quotes the price for exactly the checkIn, checkOut, adults and currency you set; change any of them and the number changes on Airbnb too. Taxes and fees are as Airbnb displays them in the total.

Can I get more than 270 listings for a place?

Yes. Airbnb caps a search at roughly fifteen pages, so the Actor runs the same search again in price bands (Airbnb filters those server-side) and keeps each listing once. Set maxListings to what you need; 400 for Seminyak took 27 pages and 36 seconds. For a very large city, neighbourhoods or several date ranges still add coverage on top.

Do I need a proxy?

No. Airbnb serves search and listing pages to plain requests from Apify's servers. The proxy field exists for the day that changes.

Can I use it with the Apify API or an MCP server?

Yes. It runs from the API and the official clients, and AI agents reach it through the Apify MCP server without extra setup.

Does it return guest reviews?

Yes — switch on Guest reviews and each listing carries its latest reviews (up to 200): rating, date, text, language, reviewer name and location, and the host's reply. The Guest reviews table view unwinds them one per line.

Does it return minimum nights and the availability calendar?

Yes — switch on Availability calendar and minimum nights. Each listing gets the host's minimum and maximum stay on your check-in date, whether that date is open, a day-by-day calendar for the months you choose, and occupancy per month (the share of days booked or blocked). The most-used Airbnb scraper has an open request for minimum nights that has gone unanswered.

Your feedback

Found a place it mis-reads or a field that is empty when it should not be? Open an issue on the Issues tab — every one gets answered.

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Also known as

People look for this Actor as an Airbnb scraper, an Airbnb listings API, an Airbnb price scraper, a vacation rental data source, a short-term rental scraper, a holiday rental scraper, an STR analytics feed, and a way to get nightly rates and availability by city.