Airbnb Search & Market Scraper: Full Coverage, Fees & True Availability

Scrape Airbnb search results into clean, structured data: nightly and total prices, cleaning & service fees, price-per-guest, ratings and review counts, badges, bedrooms, beds and baths, coordinates, and property type — for any city in the world.

Three things make this scraper different from the others:

• Only places that are genuinely free on your dates. Airbnb pads its results with listings that are already booked, quoting them for a different stay instead. Ask for 17 nights and you get 11- and 16-night rows mixed in. This actor removes them.
• It gets past Airbnb's ~270-listing limit. Airbnb never returns more than about 270 results for a single search, however many properties exist. Turn on Full coverage and the actor splits the map into smart grid tiles and searches each one, then merges and de-duplicates. One small town returned 1,596 listings instead of 270.
• Ultra-fast and cost-effective. An optimized extraction pipeline captures complete datasets in minutes at a fraction of typical scraping costs.

What you get

Field	Description
position	Airbnb's own ranking within that search
name	The listing's real title
propertyType	e.g. "Apartment in Martil"
url	Direct link to the listing
checkIn, checkOut, nights	The stay actually priced
price, pricePerNight, currency	Total and per-night rate
pricePerGuestPerNight	Effective price per person per night
cleaningFee, serviceFee	Transparent fee breakdown
isDiscounted, discountPercent	Strikethrough discount badges and percentage
isGuestFavorite, guestFavoriteBadge	Guest Favorite status & Top % badge
isSuperhost, badges	Host status and all search badges
rating, reviewsCount	Review score and total volume
bedrooms, beds, baths	Handles "1 double bed", studios and private rooms
amenities	Clean normalized list of listing amenities (Wifi, Air conditioning, Kitchen, etc.)
amenityFlags	Boolean flags object for fast filtering (hasWifi, hasPool, hasAc, etc.)
latitude, longitude	Coordinates for mapping and GIS
searchUrl	Which search produced the row

Turn on Fetch listing details and each row also gets maxGuests (the exact number of guests the place sleeps), detailedPropertyType, sharedBath, and the listing page's own price with its full breakdown.

How to use it

By city name — simplest:

{
  "searchText": "Barcelona",
  "checkIn": "2026-08-02",
  "checkOut": "2026-08-09",
  "adults": 2,
  "maxItems": 100
}

By search URL — for filters you set on airbnb.com yourself:

{
  "searchUrls": [{ "url": "https://www.airbnb.com/s/Paris--France/homes?room_types%5B%5D=Entire%20home%2Fapt" }],
  "checkIn": "2026-08-02",
  "checkOut": "2026-08-09"
}

Paste a URL you copied from Airbnb and leave the date and guest fields empty — whatever you picked on the site is kept. Fill them in only when you want to override the URL; the run log tells you when that happens.

Whole city:

{ "searchText": "Martil", "fullCoverage": true, "maxItems": 0, "maxTiles": 60 }

Useful settings

Setting	What it does
exactDatesOnly	Drop listings that aren't free on your dates (on by default)
fullCoverage + maxTiles	Split the map into smart grid tiles to beat the ~270 cap
entirePlaceOnly	Filter out private rooms and shared rooms; keep whole properties only
minPrice, maxPrice	Minimum and maximum price filters (stay total or per night in chosen currency)
filterAmenities	Filter by core amenities (Wifi, AC, Pool, Kitchen, Free parking, etc.)
onlyDiscounted	Only keep listings featuring active price drops or discount badges
minDiscountPercent	Filter listings by minimum discount percentage (e.g. 20 for 20%+ off)
minRating, minBedrooms, minBeds, minGuestCapacity	Property capacity and quality filters
propertyType	Keep only apartments, riads, villas, houses, etc.
proxyCountry	Airbnb prices and ranks by visitor location — pin one for consistent results
useHttpFastPath	High-speed mode (on by default); auto-manages fallback
currency, locale	Output currency and language preferences

Good to know

• The top of the results is stable; the tail reshuffles. Four identical requests seven seconds apart returned 17 of the same 18 listings with an identical top five, but 10-13 of the lower positions moved. Treat high ranks as meaningful and low ranks as approximate. position records the rank as returned.
• Results depend on where the request appears to come from. Rotating proxy IPs change the apparent location and produce genuinely different result sets, which is a far bigger effect than the reshuffling above. Pin proxyCountry if you want runs to be comparable.
• This is the anonymous view of Airbnb. Logged-in guests also get personalised results based on their booking history - someone who books cheaper places is steered toward cheaper listings. No scraper can see that, so treat this data as the baseline every guest starts from, not as what any particular guest sees.
• Running the same search twice and de-duplicating on listingId still gives slightly better coverage than a single run.
• Listing titles change between runs for the same property. Always key on listingId.
• Search cards and listing pages sometimes quote different totals. Enable Fetch listing details to also get the listing page's own price, which is what a guest would actually pay.
• Set proxyCountry to the market you care about — which taxes and fees are included in a displayed total depends on where the visitor appears to be.

Disclaimer

This is an independent tool and is not affiliated with, endorsed by, or connected to Airbnb, Inc. Only public data is collected. You are responsible for how you use the data and for complying with applicable terms and laws.