Airbnb Listings Scraper — Stays, Prices & Ratings

Scrape Airbnb vacation rentals by destination across global storefronts — prices, ratings, images, listing URLs, public host identity, locality, and geo leads. No login, no Airbnb API key.

• Search any city or destination on 90+ Airbnb market domains (www.airbnb.com, www.airbnb.jp, www.airbnb.co.uk, …)
• Filter Stays by room type, category rail tags (Amazing views, Cabins, …), and property type
• Export name, nightly/total price, currency, rating, review count, image, and URL to JSON, CSV, or Excel
• Enrich a bounded number of rows from their public listing pages: host identity, locality, approximate geo, amenities, and optional reviews, policies, price breakdown, or host profile
• Paste a filtered browser URL into startUrls when you need UI-only filters
• Pay per event: $0.005 per run start + $2.00 per 1,000 results (platform usage included; Gold+ Store tiers $1.50 / 1,000)

Airbnb does not offer a public listings API for third-party apps. This Actor opens the same public Airbnb search pages people browse and returns structured rows you can schedule, webhook, or pipe into Sheets, Make, n8n, Zapier, and AI agents.

---

What does the Airbnb Listings Scraper do?

This Actor is an Airbnb scraper for Stays search results. Enter a destination (or paste search URLs), optionally pick a market/currency and filters, and get a clean dataset of vacation rental cards — ready for pricing research, competitive monitoring, or travel content workflows.

It is useful when you need:

• Nightly and stay-total price snapshots for a city or neighborhood
• Rating and review-count signals across competing listings
• Multi-country storefront coverage (Japan, UK, Singapore, EU, …) with matching currency
• Category-rail scans (Amazing views, Beachfront, Cabins, …) without hand-copying pages
• An Airbnb API alternative for Excel / CSV / JSON pipelines

---

Who is it for?

Short-term rental hosts and property managers

• Benchmark nightly rates against nearby stays
• Watch new inventory and rating trends in your market

Real estate and market analysts

• Compare supply and pricing across cities and Airbnb domains
• Schedule recurring scrapes for time-series pricing

Travel product and content teams

• Build destination pages and rental guides from structured stay data
• Feed listings into CMS, BI, or affiliate workflows

Developers and data scientists

• Automate Airbnb search extraction via Apify API, webhooks, or integrations
• Combine with your own enrichment for dashboards and ML features

---

What data can you extract from Airbnb?

Each dataset item is one Airbnb stay. Search supplies the card-level fields; bounded listing-page enrichment adds public lead fields when available:

Data point	Description
Listing name & URL	Stay title and canonical /rooms/… link
Price	Amount from the card's main price line (rows from detailUrls: the dated stay total); priceIsTotal identifies stay totals
Price qualifier	Card text such as total, au total, or night, plus the dated stay's nights count
Total price	Stay total when Airbnb shows one
Currency	ISO code from the card or your configured currency
Rating & reviews	Guest score and review count when shown; ratingText is the card's rating text, and on rows that read the listing page without card text, the page's overall rating line (e.g. Rated 4.53 out of 5 from 1,028 reviews.)
Property type	Type line from the card or listing page (e.g. Entire rental unit in Paris, France); listing-page rows add Airbnb's room type code in roomType (ENTIRE_HOME, PRIVATE_ROOM, …)
Location	Location line from the card when present
Image	Primary card image URL
Market / domain	Storefront used for the search
Filters applied	categoryTag, roomTypesApplied, propertyTypeIdsApplied
Amenities	Amenity names from the Detail page (enrichDetails)
Guest capacity	personCapacity — maximum guests from Detail
Bedrooms / beds	bedrooms and beds counts from Detail
Guest favorite	isGuestFavorite badge flag from Detail
Description	description summary text from Detail
Reviews	Public reviews, newest first, up to reviewsLimit; reviewCount holds the listing total. Reviews stay as a reviews list on the listing row and are charged with that row, not as separate rows
Policies	Cancellation policy and house rules when selected in detailExtras
Price breakdown	Total, original price before discount, itemized nights/fees/taxes, disclaimers, availability, and currency for your checkin/checkout; Airbnb shows no price without dates
Host profile	With hostProfile, the public host profile fills org: profile prompts, time hosting, verification date and types, listing count
Extra failures	detailExtrasFailed lists extras that returned nothing, with the reason in detailExtrasErrors; the listing row is still saved

Searches with a placeId use Airbnb's app search API; other searches and startUrls read the data embedded in Airbnb's search page. With enrichDetails=true, the worker reads at most detailEnrichLimit public listing pages, and in a search only while row budget is left after the search rows: when the search rows already fill maxResults, no listing page is read and the run notes detailSkipped:rowBudget:<n>. The public host profile is read only when detailExtras includes hostProfile. It does not log in, send a message, or scrape private booking/contact data.

If Airbnb does not recognise the destination, it shows featured homes from elsewhere. The run then fails with a clear message instead of saving those unrelated homes. A recognised destination with no matching stays finishes as an empty, successful run.

Lead and contact fields

Every row contains the complete ten-key lead shape. Empty values remain explicit and are paired with a field-specific reason in leadAbsences.

Field	Type	Airbnb meaning
phones	[{value, type, e164?}]	Host phone numbers. Airbnb does not publish them before booking, so this is [] with not_on_platform.
emails	[{value, type}]	Host email addresses. Not published before booking: [] with not_on_platform.
address	{street, unit, locality, region, postalCode, country, full}	Listing location from the listing page: locality, country, and Airbnb's location line in full. Street and door number are not published before booking (address.street: not_on_platform).
geo	{lat, lng, exact?} or null	Search rows carry the card coordinate (exact: false). Rows that read the listing page use the page coordinates and its exact flag; the card coordinate stays when the page has none. exact: false means Airbnb blurred them to the neighbourhood.
person	null	Airbnb shows a host display name (in org), not a separately named person: not_on_platform.
org	object or null	Host identity from the listing page: name, profile id, profileUrl, picture, superhost and verified flags, response rate and time, rating, review count, years hosting, highlights.
web	{website, socials[]}	website is always null: an Airbnb profile is not a host website (the profile link is in org.profileUrl). Host social accounts are not published (not_on_platform); Airbnb's own footer accounts are never attributed to the host.
leadSource	string enum	detail when the listing page was read; search when the row was not enriched.
leadReveal	string enum	visible when the listing page showed the host, locality, or coordinates; absent otherwise.
leadAbsences	object/map	Per-field reason: not_on_platform when Airbnb does not publish the field on public pages, not_extracted when the listing page was read but the field was missing, not_verified when the listing page was not read (row beyond detailEnrichLimit, enrichDetails=false, or the request failed).

Reveal cost

• enrichDetails defaults to true; detailEnrichLimit defaults to 3 and is capped at 10.
• Each enriched row costs one public listing-page request. Each detailExtras entry adds one Airbnb API request per enriched row.
• No phone/email reveal click is performed. Message host is a communication/login action, not a contact reveal control, and the Actor never submits it.
• Rows outside the limit still keep all lead keys, with not_verified reasons.

Honest limitations

• Airbnb withholds street, door number, host phone, host email, and host social accounts on public pre-booking pages. Those fields are not_on_platform, not a scraping gap.
• Listing coordinates are usually approximate (geo.exact: false).
• Help Contact and Message host are login/communication gates. The Actor does not log in, send messages, make bookings, or claim gated data is publicly available.
• Rows whose listing page was not read use not_verified; that is not evidence that a field is absent on Airbnb.

---

More Actors like this

Need a similar travel or listings Actor? Start with these peers, then browse curated picks by category:

Actor	Best for
Booking.com & Airbnb Scraper	Booking.com + Airbnb stays, prices, and listing URLs
Booking.com Hotel Scraper	Hotels, prices, ratings, and availability on Booking.com
Agoda Hotel Scraper	Agoda hotels with prices, ratings, and listing URLs
Trip.com Hotel Scraper	Trip.com hotels, prices, and listing details
Expedia Hotel Scraper	Expedia hotels and stay search data

Browse by category

• Travel: Agoda Hotel Scraper · Trip.com Hotel Scraper · Hotels.com Scraper
• Real estate: Zillow Group Scraper · Realtor.com Scraper · Redfin Scraper
• E-commerce: Amazon Product Scraper · Walmart Product Scraper · eBay Product Scraper
• Jobs: Indeed Job Scraper · LinkedIn Jobs Scraper · Glassdoor Jobs Scraper
• Universal: Stealth Web Scraper · Universal Web Scraper

See the full catalog in Related Actors below.

How to scrape Airbnb listings

1. Open this Actor in Apify Console.
2. Enter a destination (for example Osaka, London, Bali) or paste Airbnb search URLs into startUrls.
3. Optionally set market, currency, dates, guests, room types, category tags, and property types.
4. Keep the first run small (maxResults 5–20) to validate fields and cost.
5. Click Start, then download JSON, CSV, or Excel.

---

Markets and storefronts

Pick a market code (or override domain / locale / currency). The Actor builds:

https://{host}/s/{destination}/homes?…&currency={currency}, with the destination in Airbnb's own form (Lyon, France → Lyon--France).

Examples: US, GB, JP, SG, DE, FR, AU, BR, CA, CA_FR, …

Language-specific hosts use dedicated codes (e.g. CA_FR → fr.airbnb.ca) so the input enum maps 1:1 to a domain. Requests leave from the market's country (US_ES and US both from the United States). domain accepts Airbnb storefront hosts only.

---

Stays filters

Input	Airbnb param	Notes
roomTypes	room_types[]	Entire home/apt, Private room, Shared room, Hotel room (OR)
categoryTags	category_tag	Category rail (Amazing views → Tag:8536, …). Each tag runs a separate search; results merge and dedupe by listing URL
propertyTypeIds	property_type_id[]	Cabin, House, Villa, … (labels or numeric IDs)
startUrls	—	Full search URLs from the Airbnb UI (best escape hatch for rare filters)
placeId	place_id	Optional Airbnb place id when you already have one

Multiple roomTypes / propertyTypeIds go on the same URL. Each categoryTag, startUrl, or detailUrl gets its own maxResults row allowance; the whole run still stops at your maximum total charge.

---

Input

Field	Type	Default	Description
destination	string	—	City or place to search (required unless startUrls is set)
market	string	US	Airbnb storefront / market code
domain	string	—	Optional host override (e.g. www.airbnb.co.uk)
locale	string	market default	Storefront language sent with HTTP requests
currency	string	market default	display_currency (USD, EUR, JPY, …)
placeId	string	—	Optional Airbnb place id
checkin / checkout	string	—	YYYY-MM-DD trip dates for priced availability
adults	integer	2	Guest count
roomTypes	string[]	[]	Room type filters
categoryTags	string[]	[]	Category labels or Tag:id values
propertyTypeIds	(string|integer)[]	[]	Property type labels or IDs
startUrls	string[] / {url}[]	[]	Ready-made Airbnb search URLs
detailUrls	URL[]	[]	Optional genuine Airbnb /rooms/{listingId} URLs; skips destination search and requires enrichDetails=true
enrichDetails	boolean	true	Read public listing pages for host, location, and amenity fields; in a search, skipped (noted detailSkipped:rowBudget) when the search rows already fill maxResults
detailEnrichLimit	integer	3	Maximum listing pages read per run, 1–10
reviewsLimit	integer	0	Reviews per enriched listing, 0–50; zero disables reviews unless detailExtras includes reviews (then up to 24)
detailExtras	string[]	[]	Optional detailApi, reviews, policies, priceBreakdown, hostProfile datasets
maxResults	integer	70	Most rows for each destination, category tag, start URL, or detail URL (1–500). Values above 70 are collected in parts of 70; all row types count together, and the run stops at your maximum total charge.

Key-value store artifacts:

• INPUT_ECHO — normalized public input
• RUN_SUMMARY — query counts, scraped/pushed totals, billing stop flag
• ERROR_SUMMARY — written on invalid input or scrape failure

---

Pricing

This Actor uses pay-per-event pricing. Platform usage costs are included — you do not pay separate Apify compute on top of the event prices below (User pays platform usage costs: No).

Event	Price
Actor Start (apify-actor-start)	$0.005 per start
Result (apify-default-dataset-item)	$2.00 / 1,000 listings ($0.002 each) on FREE–SILVER; $1.50 / 1,000 ($0.0015 each) on GOLD–DIAMOND

Every dataset row is billed as one result.

Store discount tiers

Tier	$/1,000	per result
FREE*	$2.000	$0.002
BRONZE	$2.000	$0.002
SILVER	$2.000	$0.002
GOLD	$1.500	$0.0015
PLATINUM	$1.500	$0.0015
DIAMOND	$1.500	$0.0015

*FREE is the list price before any Store volume discount. GOLD, PLATINUM, and DIAMOND pay $1.50 / 1,000.

Example cost estimates

Listings	FREE–SILVER	GOLD–DIAMOND
20	~$0.045	~$0.035
1,000	~$2.005	~$1.505
10,000	~$20.005	~$15.005

*Assumes one Actor start plus the tier result price. Exact start billing can scale with allocated memory (one start event per GB, minimum one). This Actor defaults to 512 MB, so a typical run is one start event.

Set a Maximum charge per run in Console if you want a hard PPE budget ceiling — the Actor stops pushing when the remaining dataset-item budget is exhausted.

---

Free Apify plan limits (set by this Actor's developer)

Limit	Free Apify plan	Paid Apify plan
Runs of this Actor	10 runs total	Unlimited
Rows per run	Up to 200	Limited by your maximum total charge

When the run cap is hit, the run finishes with a clear status message — not an Apify platform error. Upgrade to a paid Apify plan for unlimited runs.

Tips for better Airbnb stay data

• Start with maxResults 5–20 before city-wide runs.
• Keep detailEnrichLimit small when you need lead enrichment without opening every listing Detail.
• Leave dates empty for flexible search; set both check-in and check-out for trip-specific pricing.
• Prefer one categoryTag first; multiple tags multiply search rounds.
• If a category or property-type ID drifts, copy the filtered UI URL into startUrls.
• Schedule weekly runs on the same destination to build a pricing time series.

---

FAQ

Can I scrape Airbnb without an API key or login?

Yes. The Actor uses public Airbnb search pages. You do not need an Airbnb developer key or account.

Does this scrape Experiences or Services?

No. Scope is Stays (/homes) only — room types, category rail, and property types.

Why did I get fewer listings than maxResults?

Airbnb availability, dates, filters, captchas, or empty markets can shrink the result set. Broaden the destination or clear dates and filters.

How do I get prices in JPY / EUR / GBP?

Set market (and/or currency) so the search uses display_currency. Card currency can still vary by locale; the Actor falls back to your configured currency when parsing.

Can I use my own Airbnb search URL?

Yes. Put one or more URLs in startUrls. Each URL can return up to maxResults rows; values above 70 are collected in parts of 70, and the whole run still stops at your maximum total charge.

---

Standby / Live View

• GET / — service metadata
• GET /health — health check
• GET /input-example — sample input
• GET /openapi.json — OpenAPI document

Standby is for live-view metadata. Use normal Actor runs for scraping.

---

Disclaimer

This Actor is not affiliated with Airbnb. Use it only on publicly available pages, respect Airbnb’s terms and applicable law, and keep request volume reasonable. You are responsible for how you use the data.

Related Actors

All 77 public Actors from [lentic_clockss]. Click a name to open the Store detail page.

Jobs & Freelance

• LinkedIn Jobs Scraper
• Bayt Jobs Scraper
• Fiverr Gigs Scraper
• Freelancer.com Scraper
• Glassdoor Scraper
• Himalayas Jobs Scraper
• Indeed Jobs Scraper
• Jobicy Remote Jobs Scraper
• RemoteOK Jobs Scraper
• SEEK Jobs Scraper
• Upwork Jobs Scraper

Real Estate

• Zillow & Zumper Scraper
• Realtor.com Scraper
• 99.co Scraper
• Realtor.com Agents Scraper
• Apartments.com Rental Scraper
• Bayut Scraper
• Craigslist Housing Scraper
• Daft.ie Scraper
• Dot Property Scraper
• FINN.no Scraper
• Funda Scraper
• Hepsiemlak Scraper
• Idealista Scraper
• Immobiliare.it Scraper
• ImmoScout24 Scraper
• Naver Land Scraper
• OpenSooq Scraper
• Otodom Scraper
• Property Finder Scraper
• PropertyGuru Scraper
• realestate.com.au Scraper
• Realtor.ca Scraper
• Rightmove Scraper
• SeLoger Scraper
• SUUMO Scraper
• Zillow Group Scraper

E-commerce

• Shopee Search Scraper
• E-commerce Scraper
• 1688 Global Product Search Scraper
• Allegro Scraper
• Amazon Search Scraper
• ASOS Product Scraper
• Cdiscount Product Scraper
• Costco Product Scraper
• Coupang Product Scraper
• Etsy Scraper
• Lazada Scraper
• MercadoLibre Scraper
• Mercari Japan Scraper
• Rakuten Japan Scraper
• SHEIN Product Scraper
• Target Product Scraper
• Temu Product Scraper
• Walmart Product Scraper

Travel & Stays

• Booking.com & Airbnb Scraper
• Agoda Scraper
• Airbnb Listings Scraper
• Booking.com Hotels Scraper
• Despegar Scraper
• Expedia Scraper
• Traveloka Scraper
• Travelstart Flights Scraper
• Trip.com Scraper
• TripAdvisor Scraper

Social & Content

• TikTok Scraper
• Reddit Scraper
• YouTube Shorts Scraper
• YouTube Research Scraper
• Hacker News Scraper

Ads Intelligence

• Facebook Ad Library Scraper
• Google Ads Transparency VN
• TikTok Ads Scraper

Local & Maps

• Google Maps Scraper

General Tools

• Stealth Web Scraper
• Email Risk Validator
• Phone Number Intelligence

→ Browse the full profile: apify.com/lentic_clockss