Airbnb Property Details Scraper

Turn Airbnb listing pages into a structured table — one row per property with amenities, capacity, pricing context, host display (name, Superhost flag, tenure), ratings, coordinates, images, and a completeness score. Export to CSV, JSON, or Excel for analysis, comps, or internal tools.

No company legal / B2B contact fields — this actor is listing intelligence only. For pro host emails, phones, and company details at scale, use Airbnb Professional Host Scraper. Custom integrations: corentin@outreacher.fr

No login. No API key. No Airbnb account needed.

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Who is this for?

You are…	Typical goal	Suggested setup
Revenue / pricing analyst	Compare nightly rates and amenities across a market	City search + price filter
STR operator / PM	Audit your portfolio or a competitor set	Listing URLs mode (bulk)
Data team / engineer	Enrich an internal table using listingId	Listing URLs mode
Market researcher	Snapshot a city by property type and rating	City search + Maximum coverage
Vacation rental investor	Evaluate a new market (pool supply, superhost rate)	City search + Pool filter

By default you get: URL, listing ID, title, room type, capacity, amenity flags, rating, GPS, host display, and price context — typically 25–33 fields per listing.

For B2B contacts (email, phone, company name, SIREN) from professional hosts, use the companion scraper linked above.

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Quick start

1. Open the actor in Apify Console
2. Mode: choose City search
3. City name(s): enter Lyon, France (one per line)
4. Click Start — results appear in the Dataset tab within minutes

To scrape specific listings instead: switch Mode to Listing URLs, paste your /rooms/… links, and run.

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What it extracts

Category	Fields
Identity	listingId, url, title
Type	propertyType, roomType, propertyCategory
Capacity	guests, bedrooms, bathrooms, beds
Price	pricePerNight, totalPrice
Location	location, latitude, longitude
Host	hostName, hostType (Superhost / Host), hostSinceYears, hostUrl
Ratings	rating, ratingCount
Amenities	amenities (raw list), boolean flags: hasPool, hasWifi, hasParking, hasGarden, hasTerrasse, hasVueMer, hasJacuzzi, hasCheminee, hasSauna, hasHammam, hasAnimaux, hasBilliard
Photos	mainImage, images (array)
Quality	completenessScore (0–100)
Meta	extractedAt

The dataset has two table views: overview (key fields) and amenities breakdown — selectable in the Console Dataset tab.

Locales: Phase 2 detail fetches match the listing domain (.fr, .es, .de, .com). roomType is always in neutral English; raw propertyType and amenities stay in the page language.

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Input parameters

Console fields

Field	Type	Default	Description
mode	select	city	city — search by city name; bulkUrls — scrape specific listing URLs
city	string list	—	One city per line. Format: City or City, Country (e.g. Lyon, France). Country improves autocomplete accuracy.
listingUrls	URL list	—	/rooms/{id} URLs (plain strings or { "url": "…" } objects). Used when mode = bulkUrls.
multiDateSearch	boolean	false	23 search variants merged and deduplicated — same strategy as the Professional Host actor. Finds 4–6× more listings.
priceMin	integer	—	Minimum total stay price (€). Leave empty for no floor.
priceMax	integer	—	Maximum total stay price (€). Leave empty for no ceiling.
priceFilterNumNights	integer	5	Number of nights the total price refers to.
propertyTypes	select	all	Filter by apartment, house, guest_house, or hotel.
amenities	select	none	Filter by Pool or Jacuzzi.

API-only fields (pass via JSON input)

These are not in the Console form but are accepted by the actor:

Field	Type	Default	Description
maxResults	integer	0 (no cap)	Stop after N listings extracted in Phase 2. 0 = unlimited.
maxPages	integer	0 (no cap)	Maximum search result pages per city pass. 0 = paginate until end.
checkin	string	auto (+21 days)	Check-in date for search (YYYY-MM-DD).
checkout	string	auto (+26 days)	Check-out date for search (YYYY-MM-DD).
adults	integer	1	Number of guests for the search query.
flexibleTripLengths	string[]	[]	Extra flexible search passes: weekend_trip, one_week, one_month.
multiPassConcurrency	integer	10	Parallel city search passes when multiDateSearch is on (max 10).
useCityAutocomplete	boolean	true	Use Airbnb autocomplete to resolve city → place_id.
locale	string	auto	Force locale: fr, en, es, de, it, pt.
proxyConfiguration	object	auto	Apify proxy config. Defaults to datacenter proxy on cloud.

JSON example (API / bulk):

{
  "mode": "city",
  "city": ["Amsterdam", "Barcelona, Spain"],
  "amenities": ["Pool"],
  "maxResults": 200,
  "maxPages": 5
}

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How it works

1. Phase 1 — Discovery: For each city, builds a search URL (Airbnb autocomplete → place_id), crawls search result pages with Cheerio (no browser needed), and collects all /rooms/… URLs.
2. Phase 2 — Extraction: Opens each listing page, parses the niobeClientData JSON block, extracts all fields, applies locale-aware normalization, and pushes one row per listing to the dataset.

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Output sample

{
  "listingId": "12345678",
  "url": "https://www.airbnb.fr/rooms/12345678",
  "title": "Charming apartment near the canal",
  "propertyType": "Logement entier : appartement",
  "roomType": "Entire place",
  "guests": 4,
  "bedrooms": 2,
  "bathrooms": 1,
  "beds": 2,
  "pricePerNight": 95,
  "totalPrice": 475,
  "location": "Amsterdam, Netherlands",
  "latitude": 52.3676,
  "longitude": 4.9041,
  "hostName": "Marie",
  "hostType": "Superhost",
  "hostSinceYears": 5,
  "rating": 4.87,
  "ratingCount": 142,
  "hasPool": false,
  "hasWifi": true,
  "amenities": ["Wi-Fi", "Cuisine", "Machine à laver"],
  "mainImage": "https://a0.muscache.com/im/pictures/…",
  "completenessScore": 82,
  "extractedAt": "2026-06-29T16:00:00.000Z"
}

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How much does it cost to scrape Airbnb listings?

This actor uses HTTP-only crawling (no browser) — compute is very cheap.

Scenario	Approx. cost
25 listings (test run)	< $0.01
500 listings, one city	~$0.05
5,000 listings, multi-city	~$0.20–0.50
50,000 listings	~$1–3

No residential proxies required for most cities. For heavily geo-restricted searches, enabling Apify datacenter proxies (included at no extra cost on paid plans) is sufficient.

Is scraping Airbnb legal?

This actor only accesses data that Airbnb makes publicly available on their website — the same pages any visitor can see without logging in. As with any data collection involving publicly visible information, ensure your use complies with Airbnb's Terms of Service and applicable regulations (GDPR, CCPA, etc.) for your specific use case.

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Also available

Airbnb Professional Host Scraper — Extract B2B contact data (email, phone, company name, SIREN/VIES) from professional hosts. Same city-search engine, different output.

Airbnb Host Portfolio Scraper — Get all listing URLs from a host profile page. Combine with this actor's URL mode for full listing intelligence on a specific host.

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Local development

npm install
# Write input to the Apify local storage:
cp input-city-with-filters.json storage/key_value_stores/default/INPUT.json
# Or use --input-file:
apify run --input-file=./input-city-with-filters.json

storage/ is excluded from Docker via .apifyignore. When not on Apify cloud, the actor merges the repo-root input.json (if present) with Actor.getInput() — KV input wins on key collision.

Tests: npm run test:unit — pure input / URL builders, no network.

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Changelog

See CHANGELOG.md.