Airbnb Listing Details Scraper

Everything Airbnb publishes about a specific listing, in one row. All amenities, the full house rules, the rating breakdown by category, the host summary, room-by-room photos and exact coordinates.

Press Start to see it work on a sample listing.

Pair it with the Airbnb Listings Scraper: search first to find listings, then enrich them here.

What you get

46 fields per listing, including:

Field	Example
title	Lisbon Downtown Baixa, ideal for short stay
propertyType / spaceType	CONDOMINIUM / ENTIRE_HOME
guests / bedrooms / beds / bathrooms	2 / 1 / 1 / 1
rating / reviewsCount	4.91 / 226
categoryRatings	{"cleanliness": 4.9, "accuracy": 4.9, "checkin": 5.0, "communication": 5.0, "location": 5.0, "value": 4.8}
amenities / amenityCount	45 named amenities, grouped by category too
amenitiesNotIncluded	["Exterior security cameras on property"]
houseRules	Check-in window, checkout time, pets, parties, quiet hours
hostName / hostIsSuperhost / hostBadges	GestHomes By Alexandra & Pedro / true / ["Superhost", "13 years hosting"]
hostTotalReviews / hostResponseRate / hostResponseTime	2580 / Response rate: 100% / Responds within an hour
latitude / longitude / isExactLocation	38.7111 / -9.1357 / true
photoUrls / photos	Up to 40 full-size URLs, with captions and room tags
roomPhotoTour	Photos grouped by room: Living room (11), Bedroom (6), Full bathroom (5)
description	The host's full listing description, HTML stripped
highlights	Self check-in, Vibrant neighbourhood
reviewTags	What guests mention most, with counts: Location (170), Cleanliness (85), Quiet (49)
neighbourhoodDetails	The host's written description of the area

What people use it for

• Competitive benchmarking for hosts. See exactly which amenities top-rated neighbours offer that you do not, and where their category ratings beat yours.
• Understanding what guests actually value. reviewTags gives the themes guests mention most with counts, so you can see whether a market rewards location, cleanliness or quiet.
• Revenue and acquisition analysis. Combine capacity, amenities and category ratings to explain why some listings out-earn others.
• Due diligence on a property. Pull house rules, exact coordinates and the host's track record before booking or investing.
• Building travel products. Feed complete listing records, with room-level photos, into an app or an AI agent.
• Academic and policy research. Study short-term rental stock with amenity and capacity detail, not just prices.

Input

Give it listing URLs or bare numeric ids. Both forms work and can be mixed.

https://www.airbnb.com/rooms/670694153658292838
14072055

Any country domain works too, so a www.airbnb.co.uk/rooms/... URL is fine.

What it cannot do, and why

• One request per listing. This Actor enriches listings you already know. To find listings in the first place, run the Airbnb Listings Scraper and feed its listingId values in here.
• No review text. Airbnb loads individual reviews through a separate request whose signature rotates, so this Actor deliberately does not depend on it. You get the rating, the review count, the per-category breakdown and the review tags with counts, but not the written reviews.
• No nightly price. Prices depend on dates and guest count, and belong to search rather than to a listing record. Use the Airbnb Listings Scraper with your dates for pricing.
• Host display name and public badges only. No contact details, no guest data. This is the same host summary any visitor sees on the page.
• Delisted listings are reported, not guessed. A removed or invalid listing produces a clear message naming the id, and the rest of the run continues.
• Some fields are conditional. amenitiesNotIncluded, highlights and the room photo tour only appear when Airbnb publishes them for that listing.

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Notes

Reads the same public listing pages you can open in a browser. No headless browser is used, so runs are fast and cheap.

Something broken or a field you need? Open an issue on this Actor and I will take a look.