Airbnb Scraper Advanced ⭐

From $0.50 / 1,000 results — Extract comprehensive vacation rental data from Airbnb, the world's largest short-term rental marketplace covering 220+ countries and regions. Get detailed listing information including prices, ratings, host intelligence, amenities, cancellation policies, and property images — structured, clean, and ready for analysis. No API key required.

Search by location query, direct listing URL, search URL, price range, guest count, bed/bath minimums, and check-in/check-out dates. Returns 70+ fields of structured data per listing including full pricing breakdown (base price, cleaning fees, service fees, taxes), detailed ratings across 7 dimensions, host profiles with Superhost status, co-host data, structured amenity groups with icons, house rules, cancellation policies, image galleries, GPS coordinates, and property highlights. Up to unlimited results per run with automatic pagination. No login, no API key, no authentication required.

📊 Comparison Table

Feature	Airbnb Scraper Advanced ⭐	memo23/airbnb-scraper	red.cars/airbnb-scraper
Price per 1,000 results	$0.50	$0.80	$6.00
Full pricing breakdown (base, fees, taxes, total)	✅	✅	❌ Not specified
Structured amenities with icons	✅	✅	❌ Simple list
Host co-hosts data	✅	❌	❌
Property highlights with icons	✅	❌	❌
Breadcrumb navigation	✅	❌	❌
House rules with icons	✅	✅	❌
GPS coordinates	✅	✅	✅
7-dimension rating breakdown	✅	✅	❌ Simple overall
11 locales, 27 currencies	✅	✅	❌
Unlimited results per run	✅	✅	Up to 1,000
Search by location query	✅	✅	✅
Search by listing URL	✅	✅	✅
Free trial available	✅	❌	✅
Image gallery extraction	✅	✅	✅
Cancellation policies	✅	❌	❌
Auto-pagination	✅	✅	✅

🚀 Features

• 🔓 No API Key Required — Access Airbnb listing data directly without official API restrictions, rate limits, or approval processes.
• 🌍 Search by Location — Enter any city, neighborhood, or region. Works globally with automatic pagination through all available results.
• 🔗 Scrape by URL — Pass individual Airbnb listing URLs directly for targeted data extraction of specific properties.
• 💰 Full Pricing Breakdown — Get base price, service fees, taxes, cleaning fees, total price, original price, and early-bird discounts — not just a nightly rate.
• ⭐ Detailed Rating Analysis — Extract ratings across 7 dimensions: accuracy, check-in, cleanliness, communication, location, value, and overall guest satisfaction.
• 👤 Host Intelligence — Host name, profile image, Superhost status, verification status, rating average, review count, time as host (years/months), and co-host data.
• 🛋️ Structured Amenities — Amenities organized in logical groups (kitchen, bathroom, bedroom, outdoor, safety, parking) with availability flags and system icons.
• 🏆 Property Highlights — Notable features extracted with titles, subtitles, and icon identifiers (e.g., "Great location", "Superhost", "City view").
• 📋 House Rules & Policies — Check-in/out times, guest limits, pet policies, smoking rules, event policies, and cancellation policies — all structured with icons.
• 📸 Full Image Galleries — Extract all listing photos with captions and orientation data.
• 🌐 Multi-Language & Multi-Currency — Supports 11 locales (en-US, de-DE, fr-FR, es-ES, it-IT, pt-BR, ja-JP, ko-KR, zh-CN, ru-RU, ar-XX) and 27 currencies.
• 📈 Scalable — Configurable concurrency, automatic retry on failures, and support for unlimited result volumes.
• 🔄 Instant Free Trial — Test the actor with real properties before committing — usage costs apply but there's no subscription fee to try.

📋 What You Get

Every scraped Airbnb listing returns 70+ fields of structured data:

Field	Type	Description	Example
id	String	Unique Airbnb listing identifier	1212782301994274588
url	String	Full listing URL	https://www.airbnb.com/rooms/1212782301994274588
title	String	Listing title as displayed	Bright and Newly Renovated Studio near Hyde Park
description	String	Full property description	Welcome to this newly refurbished, stylish studio...
propertyType	String	Type of accommodation	Entire rental unit
roomType	String	Room classification	Entire home/apt
personCapacity	Integer	Maximum guest capacity	2
price.label	String	Formatted price string	$1,081 total
price.price	String	Raw price amount	$1,081
price.qualifier	String	Price qualifier	total
price.originalPrice	String	Original pre-discount price	$1,350
price.discountedPrice	String	Discounted price	$1,081
price.breakDown.basePrice	Object	Base nightly price breakdown	{ description: "$250/night", price: "$1,000" }
price.breakDown.serviceFee	Object	Airbnb service fee	{ description: "Service fee", price: "$120" }
price.breakDown.taxes	Object	Occupancy taxes	{ description: "Occupancy taxes", price: "$80" }
price.breakDown.cleaningFee	Object	Cleaning fee	{ description: "Cleaning fee", price: "$60" }
price.breakDown.total	Object	Total price	{ description: "Total", price: "$1,260" }
price.breakDown.specialOffer	Object	Special offer discount	{ description: "Weekly stay discount", price: "-$179" }
price.breakDown.earlyBirdDiscount	Object	Early bird discount	{ description: "Early bird discount", price: "-$50" }
rating.guestSatisfaction	Number	Overall guest satisfaction score	5.0
rating.accuracy	Number	Accuracy rating	4.93
rating.cleanliness	Number	Cleanliness rating	4.80
rating.checking	Number	Check-in rating	4.93
rating.communication	Number	Communication rating	5.0
rating.location	Number	Location rating	4.93
rating.value	Number	Value rating	4.87
rating.reviewsCount	String	Total review count	15
coordinates.latitude	Number	GPS latitude	51.5167
coordinates.longitude	Number	GPS longitude	-0.1881
location	String	Location name	Greater London
locationSubtitle	String	Full location string	Greater London, England, United Kingdom
thumbnail	String	Primary listing image URL	https://a0.muscache.com/im/pictures/...
host.id	String	Host's unique identifier	4715944
host.name	String	Host's display name	Ulrich
host.profileImage	String	Host's profile photo URL	https://a0.muscache.com/im/pictures/...
host.isSuperHost	Boolean	Superhost status	true
host.isVerified	Boolean	Identity verification status	true
host.ratingAverage	Number	Host's overall rating	4.96
host.ratingCount	Integer	Host's total reviews	46
host.timeAsHost	Object	Hosting tenure	{ "years": 11, "months": 0 }
host.highlights	Array	Host achievement badges	[]
coHosts	Array	Co-host profiles	[{ "id": "...", "name": "Jane", ... }]
amenities	Array	Grouped amenities with availability	[{ title: "Kitchen and dining", values: [...] }]
highlights	Array	Property highlights	[{ title: "City view", subtitle: "...", icon: "SYSTEM_VIEW_CITY" }]
houseRules	Object	Structured house rules	{ general: [{ title: "During your stay", values: [...] }] }
cancellationPolicies	Array	Cancellation policy names	[{ policyName: "Moderate", policyId: "..." }]
images	Array	Full image gallery	[{ caption: "Living room", imageUrl: "...", orientation: "PORTRAIT" }]
breadcrumbs	Array	Navigation breadcrumbs	[{ linkText: "Vacation rentals", linkRoute: "/vacation-rentals" }]
subDescription	Object	Property summary blurb	{ title: "Rental unit in Greater London", items: ["1 bedroom", "1 bed"] }
isAvailable	Boolean	Current booking availability	true
locale	String	Language code	en
timestamp	String	Scrape timestamp (ISO)	2026-06-23T18:11:29.012Z

🔗 Related Actors

Actor	Description
Airbnb Reviews Scraper	Extract reviews, ratings, and guest data from any Airbnb listing.
Airbnb Scraper CHEAP	Fast, budget-friendly Airbnb listing details at $0.50/1k.

📥 Input

Input	Type	Required	Default	Description
locationQueries	string[]	No*	[]	Cities or neighborhoods to search. Example: ["London", "Paris"]
startUrls	object[]	No*	[]	Direct listing URLs or Airbnb search URLs
checkIn	string	No	null	Check-in date in YYYY-MM-DD format
checkOut	string	No	null	Check-out date in YYYY-MM-DD format
adults	number	No	1	Number of adult guests
children	number	No	0	Number of children
infants	number	No	0	Number of infants
pets	number	No	0	Number of pets
locale	string	No	en-US	Language and region (11 options)
currency	string	No	USD	Price currency (27 options)
priceMin	number	No	null	Minimum nightly price filter
priceMax	number	No	null	Maximum nightly price filter
minBeds	number	No	null	Minimum number of beds
minBedrooms	number	No	null	Minimum number of bedrooms
minBathrooms	number	No	null	Minimum number of bathrooms
maxResults	number	No	null	Maximum listings to scrape (all if unset)
concurrency	number	No	5	Concurrent requests for detail pages

*You must provide at least one of locationQueries or startUrls.

Example Input: Search by Location

{
  "locationQueries": ["London", "Paris"],
  "maxResults": 20,
  "checkIn": "2026-07-01",
  "checkOut": "2026-07-05",
  "adults": 2,
  "currency": "USD",
  "locale": "en-US",
  "priceMin": 100,
  "priceMax": 500,
  "minBeds": 1
}

Example Input: Scrape Specific Listings

{
  "startUrls": [
    { "url": "https://www.airbnb.com/rooms/1212782301994274588" },
    { "url": "https://www.airbnb.com/rooms/87654321" }
  ],
  "checkIn": "2026-08-01",
  "checkOut": "2026-08-07",
  "adults": 2,
  "currency": "EUR",
  "locale": "fr-FR"
}

Example Output (Single Listing)

{
  "id": "1212782301994274588",
  "url": "https://www.airbnb.com/rooms/1212782301994274588",
  "title": "Bright and Newly Renovated Studio near Hyde Park",
  "description": "Welcome to this newly refurbished, stylish studio in a secure, portered complex...",
  "propertyType": "Entire rental unit",
  "roomType": "Entire home/apt",
  "personCapacity": 2,
  "price": {
    "label": "$1,081 total",
    "price": "$1,081",
    "qualifier": "total",
    "breakDown": {
      "basePrice": null,
      "serviceFee": null,
      "taxes": null,
      "total": null,
      "cleaningFee": null,
      "specialOffer": null,
      "earlyBirdDiscount": null
    }
  },
  "rating": {
    "accuracy": 4.93,
    "checking": 4.93,
    "cleanliness": 4.80,
    "communication": 5.0,
    "location": 4.93,
    "value": 4.87,
    "guestSatisfaction": 5.0,
    "reviewsCount": "15"
  },
  "coordinates": {
    "latitude": 51.5167,
    "longitude": -0.1881
  },
  "location": "Greater London",
  "locationSubtitle": "Greater London, England, United Kingdom",
  "thumbnail": "https://a0.muscache.com/im/pictures/miso/Hosting-1212782301994274588/original/027ae6f2-aaa3-4bc4-b6cf-a54f55719630.jpeg",
  "host": {
    "id": "4715944",
    "name": "Ulrich",
    "profileImage": "https://a0.muscache.com/im/pictures/user/82c4ae13-01aa-4e32-991f-e127fba2ea46.jpg",
    "isSuperHost": true,
    "isVerified": true,
    "ratingAverage": 4.96,
    "ratingCount": 46,
    "timeAsHost": { "years": 11, "months": 0 },
    "highlights": [],
    "hostDetails": ["Reviews: 46", "Rating: 4.96", "Years hosting: 11"]
  },
  "coHosts": [],
  "amenities": [
    {
      "title": "Kitchen and dining",
      "values": [
        { "title": "Kitchen", "subtitle": "Space where guests can cook their own meals", "icon": "SYSTEM_COOKING_BASICS", "available": true },
        { "title": "Refrigerator", "subtitle": "", "icon": "SYSTEM_REFRIGERATOR", "available": true },
        { "title": "Microwave", "subtitle": "", "icon": "SYSTEM_MICROWAVE", "available": true }
      ]
    },
    {
      "title": "Bathroom",
      "values": [
        { "title": "Hair dryer", "subtitle": "", "icon": "SYSTEM_HAIRDRYER", "available": true },
        { "title": "Hot water", "subtitle": "", "icon": "SYSTEM_HOT_WATER", "available": true }
      ]
    }
  ],
  "highlights": [
    { "title": "City view", "subtitle": "Soak up the view during your stay.", "icon": "SYSTEM_VIEW_CITY", "type": "LISTING_VIEWS_AMENITY" },
    { "title": "Ulrich is a Superhost", "subtitle": "Superhosts are experienced, highly rated Hosts.", "icon": "SYSTEM_SUPERHOST", "type": "LISTING_SUPER_HOST" }
  ],
  "houseRules": {
    "general": [
      {
        "title": "Checking in and out",
        "values": [
          { "title": "Check-in after 3:00 PM", "icon": "SYSTEM_CLOCK", "additionalInfo": null },
          { "title": "Checkout before 11:00 AM", "icon": "SYSTEM_CLOCK", "additionalInfo": null }
        ]
      },
      {
        "title": "During your stay",
        "values": [
          { "title": "2 guests maximum", "icon": "SYSTEM_FAMILY", "additionalInfo": null },
          { "title": "No pets", "icon": "SYSTEM_NO_PETS", "additionalInfo": null },
          { "title": "No parties or events", "icon": "SYSTEM_NO_EVENTS", "additionalInfo": null },
          { "title": "No smoking", "icon": "SYSTEM_SMOKING_NOT_ALLOWED", "additionalInfo": null }
        ]
      }
    ]
  },
  "cancellationPolicies": [],
  "images": [
    { "caption": null, "imageUrl": "https://a0.muscache.com/im/pictures/miso/Hosting-1212782301994274588/original/027ae6f2-aaa3-4bc4-b6cf-a54f55719630.jpeg", "orientation": "PORTRAIT" },
    { "caption": null, "imageUrl": "https://a0.muscache.com/im/pictures/miso/Hosting-1212782301994274588/original/44ec18a2-dc41-43f0-ba6e-cbb2394c5d8e.jpeg", "orientation": "PORTRAIT" }
  ],
  "breadcrumbs": [],
  "subDescription": {
    "title": "Rental unit in Greater London",
    "items": ["1 bedroom", "1 bed", "1 private bath"]
  },
  "isAvailable": true,
  "locale": "en",
  "language": "en",
  "timestamp": "2026-06-23T18:11:29.012Z",
  "checkIn": "2026-07-01",
  "checkOut": "2026-07-05"
}

💡 Use Cases

📊 Real Estate Investment & ROI Analysis

A real estate investor evaluating a property in a new market needs accurate, current data to build a reliable financial model. Relying on generic neighborhood averages or the listing agent's pro-forma numbers often leads to overpaying for an asset that doesn't cash-flow. With this Airbnb scraper, you extract actual pricing data from competing listings — not aspirational asking prices, but the real total a guest pays including cleaning fees, service fees, and taxes.

Start by running the scraper for your target neighborhood with specific checkIn and checkOut dates and various personCapacity configurations. The price.breakDown object gives you line-item visibility into what guests actually pay: the basePrice tells you nightly revenue potential, cleaningFee reveals operational costs guests subsidize, and total confirms the all-in guest payment. Cross-reference these against the listing's rating.guestSatisfaction and rating.reviewsCount to gauge whether high prices are supported by quality.

Build a competitive set by filtering on propertyType, minBeds, and minBedrooms to match only comparable units. Export the dataset to Excel, calculate average revenue per available night (RevPAN), adjust for isAvailable signals and seasonal variance, and model your pro-forma with confidence. The output transforms vague "this neighborhood is popular" instincts into a data-backed investment thesis.

📈 Competitive Pricing Intelligence for Hosts

Airbnb hosts who set and forget their prices leave money on the table. Seasonal demand shifts, local events, and new competitor listings all affect optimal nightly rates. Running this scraper weekly on your own neighborhood gives you a living map of the competitive landscape — which properties are raising prices, which are discounting, and where your listing sits in the quality/price matrix.

Use the scraper with checkIn and checkOut spanning different seasons (summer peak, winter off-peak, conference dates) to build a pricing heatmap. The price.originalPrice vs price.discountedPrice fields reveal which hosts use promotional pricing and by how much. The rating object tells you what guests value in your market — if competitors with high rating.cleanliness command a premium, that's a signal to invest in deeper cleaning rather than cutting rates.

Cross-reference your own listing's amenities (amenities array) against top-rated competitors. If the top-5 listings in your area all have "Dedicated workspace" (search the amenities[].values[].title field) but yours doesn't, you've found a high-impact upgrade. The structured amenity data makes this comparison programmatic at scale — no manual scrolling through 50 listing pages.

🏢 Hospitality Market Research & Strategy

Hotel chains and hospitality groups expanding into the short-term rental space need granular market intelligence before committing capital. A city like London has thousands of Airbnb listings, but the distribution of propertyType (entire homes vs. private rooms), roomType, and personCapacity varies dramatically by neighborhood. Running this scraper with location queries covering all target boroughs reveals supply composition at a glance.

Analyze the coordinates data to build geographic density maps — which blocks are saturated with vacation rentals and which have untapped potential. The price.breakDown data across 27 currency options lets international operators normalize pricing in their home currency for portfolio-level analysis. The locale parameter enables research in local languages, surfacing listings that might not appear in English-language searches.

For a complete market study, run the scraper weekly for 3-6 months to track price trends over time, correlate with rating changes after renovations or management changes, and identify emerging micro-neighborhoods before they hit mainstream travel guides. Present findings to stakeholders with exported CSV data ready for Tableau or Power BI dashboards.

🎯 Travel & Tourism Data for Destination Marketing

Destination marketing organizations (DMOs) and tourism boards need to understand who is visiting and where they're staying. Airbnb supply data is a leading indicator of tourism demand — when listings fill up (signal: price increases combined with reduced isAvailable), it's time to launch marketing campaigns for shoulder-season travel.

Use the scraper to monitor your destination monthly. The location and locationSubtitle fields identify precisely which neighborhoods are absorbing demand. The rating.reviewsCount growth rate signals which areas are gaining popularity. The propertyType distribution tells you whether your market skews toward family-sized entire homes (suggesting leisure travel) or compact private rooms (suggesting budget-conscious or business travelers).

Build a public-facing data dashboard showing average price per neighborhood, most common amenities (WiFi, kitchen, parking — yes/no flags are extractable from the structured amenities data), and top-rated host.name profiles. This transparency builds traveler trust and positions your DMO as data-driven — a competitive advantage in an era of overtourism concerns.

🔍 Academic & Urban Planning Research

Urban planners, housing policy researchers, and academics studying the impact of short-term rentals on housing affordability need systematic, reproducible data collection. Airbnb's own API provides limited access, and manual data collection doesn't scale. This scraper offers a consistent, documented extraction methodology that can be cited in research methodology sections.

Design a panel study by running the scraper on the same set of location queries at regular intervals (daily, weekly, or monthly). The timestamp field ensures every observation is precisely dated. The coordinates data enables spatial econometric analysis — linking listing density to rent increases, eviction rates, or transit accessibility. The host.timeAsHost field distinguishes professional operators (multiple listings, long tenure) from casual hosts, a key variable in policy debates about commercial vs. peer-to-peer rentals.

For reproducibility, document your input configuration (which locationQueries, which locale and currency, the maxResults setting) and export raw JSON for your data repository. The structured houseRules and cancellationPolicies fields support research on host flexibility and consumer protection — a growing area of regulatory interest worldwide.

💼 Short-Term Rental Portfolio Management

Property managers running 10+ Airbnb listings need operational intelligence, not just booking notifications. Which of your units is underperforming on rating.cleanliness? Which competitor just added a pool and is stealing your summer bookings? Are your price.breakDown.cleaningFee amounts aligned with market expectations?

Run this scraper on the neighborhoods where you operate, filtering by propertyType: "Entire rental unit" and minBeds matching your portfolio. The rating object gives you a scorecard for every dimension of guest satisfaction — if your rating.communication lags behind competitors, invest in automated messaging. If rating.value is below market, your pricing may be out of alignment with the amenities you offer.

The highlights array is particularly valuable: Airbnb surfaces features like "Great location" or "Perfect ratings for long stays" only when a listing genuinely excels there. If competitors in your market have highlight badges you don't, you've found concrete, actionable improvement targets. Track these over time to measure the impact of operational changes — did installing a new washer boost your amenities and improve rating.cleanliness within 30 days?

❓ Frequently Asked Questions

How do I search for listings in a specific city? Simply pass the city name in the locationQueries array. For example, ["London"], ["Brooklyn, NY"], or ["Tokyo, Shibuya"]. The scraper accepts natural language location strings exactly as you'd type them into Airbnb's search bar. For more targeted results, use neighborhood names like "Le Marais, Paris" or "Kreuzberg, Berlin." You can pass multiple locations in one run — each location is searched independently and results are merged into a single dataset.

How many listings can I scrape in one run? There is no hard limit. The maxResults parameter controls the maximum; if you don't set it, the scraper will paginate through all available search results for your queries. Each location query pages through up to 15 pages of search results (approximately 300-450 listings per query, depending on Airbnb's current result count). For large-scale extractions spanning multiple cities, set concurrency to a higher value (10-20) to speed up detail-page scraping.

Do I need an Airbnb account or API key? No. The scraper works entirely with publicly accessible Airbnb data. No login, no API key, no special access required. Airbnb's data is available through their public web interface, and this scraper extracts what's visible to any normal website visitor. You can run it immediately after creating your Apify account — zero setup friction.

Which countries and regions does this work in? All of them. Airbnb operates in 220+ countries and regions, and this scraper works everywhere Airbnb has listings. The locale parameter controls the language and regional formatting of results (11 options from en-US to ar-XX), while the currency parameter normalizes prices into any of 27 supported currencies. Search for "Bali, Indonesia" in IDR with bahasa Indonesia locale, or "Cape Town, South Africa" in ZAR — the scraper returns localized results just like the Airbnb website.

How fresh is the data? Every run fetches live data from Airbnb in real time. Search results come from Airbnb's internal GraphQL API at the moment of execution, and each listing's detail page is fetched concurrently at scrape time. The timestamp field on every output record tells you exactly when the data was collected. There is no caching, no stale snapshots — what you get is what a guest would see if they visited Airbnb right now.

What export formats are supported? Apify provides built-in export to JSON, CSV, Excel (XLSX), XML, HTML Table, and RSS. You can download results directly from the Apify Console, access them via the Apify API, or set up integrations with Google Sheets, Google Drive, Slack, Make (formerly Integromat), Zapier, and Airbyte. The structured JSON output is also ideal for direct ingestion into databases, data warehouses, and analytics pipelines.

How is this different from other Airbnb scrapers on the Apify Store? Four key differences: Price — at $0.50/1,000 results, it's the most cost-effective option. Depth — 70+ fields including full pricing breakdown with individual fees and taxes, structured amenities with icons, property highlights, co-host data, breadcrumbs, and cancellation policies that competitors miss. Flexibility — 11 locales and 27 currencies for truly global research. Free trial — you can test with real properties immediately without a subscription commitment. Many competitors cap results at 1,000 or don't expose line-item pricing.

Can I scrape reviews with this actor? This actor focuses on listing-level data (property details, pricing, host info, amenities). For dedicated review extraction with full pagination support, use our companion Airbnb Reviews Scraper, which extracts all guest reviews, ratings, reviewer profiles, and host responses from any listing URL.

📚 Technical Details

How It Works — The scraper fetches publicly available listing data from Airbnb and extracts 70+ structured fields per property. It handles search pagination, concurrent detail-page scraping, and multi-source price extraction automatically.

Error Handling

• Failed detail page fetches — Individual page failures are caught and logged without aborting the entire run. The scraper continues with remaining URLs.
• Missing data fields — Every field defaults to null or its type-appropriate empty value, so downstream analysis never breaks on missing keys.
• Invalid or missing input — Validates that at least one locationQueries or startUrls is provided before starting.

Data Integrity

• Deduplication — Duplicate URLs (same listing appearing in multiple location queries) are automatically removed before scraping.
• Price merging — Search-result prices are mapped to detail-page results by listing ID, ensuring price data even when the detail page doesn't embed pricing in the HTML.
• Configurable limits — The maxResults parameter provides precise control over data volume; the concurrency parameter controls how many detail pages are fetched simultaneously.

SEO Keywords

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⚠️ Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Airbnb, Airbnb Inc., or any of their subsidiaries. All trademarks are the property of their respective owners.

This Actor accesses only publicly available listing data on airbnb.com. You are solely responsible for ensuring your use complies with the site's Terms of Service and applicable laws.