Airbnb Scraper

What does Airbnb Scraper do?

Airbnb Scraper extracts all available Airbnb listings for any location worldwide — complete with prices, descriptions, ratings, amenities, host info, GPS coordinates, house rules, and photos. Whether you're researching vacation rentals for travel planning or analyzing a short-term rental market, enter a city name, click Start, and get structured rental data in JSON, CSV, or Excel.

Unlike other Airbnb scrapers, this one uses price-range binary splitting to bypass Airbnb's pagination limits. Most scrapers are capped at 300 results per query — this one finds every listing in your target area, guaranteed.

It works in two modes:

• Full mode (default) — visits each listing page to extract 40+ fields: description, all amenities, host profile, 30+ photos, house rules, cancellation policies, rating breakdowns
• Search-only mode (skipDetailPages: true) — extracts data from search results only. Faster, same price per listing, but fewer fields.

Who is Airbnb Scraper for?

Real estate investors and analysts

• Compare nightly rates across neighborhoods to identify high-yield rental markets
• Track pricing trends over time by scheduling weekly or monthly scrapes
• Find undervalued properties by combining price data with rating and location data

Property managers and vacation rental hosts

• Benchmark your portfolio's pricing against local competition
• Monitor new listings entering your market
• Analyze amenity trends to improve your listing competitiveness

Travel and hospitality researchers

• Map supply and demand patterns across cities and regions
• Analyze seasonal pricing fluctuations by scraping the same locations with different date ranges
• Study host behavior patterns (Superhost density, response rates, co-hosting trends)

Data scientists and developers

• Build rental market dashboards and pricing models
• Feed Airbnb data into ML pipelines for price prediction
• Combine with review data from our Airbnb Reviews Scraper for sentiment analysis

Why use Airbnb Scraper?

• 100% listing coverage — price-range splitting bypasses Airbnb's pagination limits, finding every listing in your target area. Most competitors cap at ~300 results.
• 100% price coverage — every listing includes pricing data, extracted directly from search results. No missing prices.
• No browser needed — runs on a lightweight HTTP crawler, keeping costs low and speed high
• No API key or login required — just enter a location and go
• Two modes — get a fast market overview (search-only) or rich per-listing data (full mode)
• Flexible output — JSON, CSV, Excel, XML, or HTML table. Integrate via API, webhooks, or 100+ Apify integrations
• 30+ currencies and locales — get prices in EUR, GBP, JPY, or any currency Airbnb supports

What data can you extract from Airbnb?

Full mode (default: skipDetailPages: false)

Data point	Example
Listing ID & URL	788405891732745420, web URL + Android/iOS deep links
Title & description	Full listing name and HTML description
Price per night	Nightly rate in your chosen currency, with price breakdown (cleaning fee, service fee, total)
Coordinates	Precise GPS latitude/longitude (e.g., 38.546, -8.843)
Property & room type	"Entire rental unit", "Private room in villa"
Rating	Overall score + breakdown (cleanliness, accuracy, check-in, communication, location, value) + review count
Host info	Name, photo, Superhost status, highlights, about, co-hosts
Amenities	Full categorized list (13+ groups: kitchen, bathroom, entertainment, safety)
House rules	Check-in/out times, guest limits, pet and smoking policies
Images	All listing photos with captions (typically 15-40 per listing)
Location descriptions	Neighborhood highlights, transit info, area tips
Highlights	Featured badges (Self check-in, Great location)
Person capacity	Maximum number of guests
Cancellation policies	Policy name and terms
Superhost status	Whether the host is an Airbnb Superhost

Search-only mode (skipDetailPages: true)

A faster output with fields available directly from search results:

Data point	Included
Listing ID, URL, deep links	Yes
Title	Yes
Price per night	Yes
Coordinates (approximate)	Yes
Room type	Yes
Star rating + review count	Yes
Thumbnail image	Yes
Superhost status	Yes
Description, amenities, host info, images, house rules	No — requires detail pages

How much does it cost to scrape Airbnb?

This Actor uses pay-per-event pricing — you pay only for what you scrape. No monthly subscription required. All platform costs (compute, proxy, storage) are included in the price.

	Free plan	Starter ($49/mo)	Scale ($499/mo)
Per listing	$0.003	$0.0025	$0.002
1,000 listings	$3.00	$2.50	$2.00
10,000 listings	$30.00	$25.00	$20.00

Higher-tier Apify plans (Gold, Platinum, Diamond) get additional volume discounts down to $0.00075 per listing.

Real-world cost examples:

Location	Listings found	Mode	Duration	Cost (Free tier)
Setúbal, Portugal	946	Search-only	~70 sec	~$2.84
Setúbal, Portugal	943	Full detail	~4 min	~$2.83
London, UK	12,037	Full detail	~7 min	~$36.11
Tokyo, Japan	14,007	Full detail	~7 min	~$42.02
Brooklyn, NYC	3,117	Full detail	~4 min	~$9.35
Cape Town, SA	7,407	Full detail	~6 min	~$22.22

Costs shown at Free tier ($0.003/listing). Starter and Scale tiers are 17-33% cheaper.

With the Apify Free plan, you get $5 of free usage per month — enough to scrape ~1,600 listings for free.

How to scrape Airbnb listings

1. Go to the Airbnb Scraper on Apify Store
2. Click Try for free to open the Actor in Apify Console
3. Enter your target location (e.g., "London", "Tokyo, Japan", "Miami Beach, FL")
4. Optionally set check-in/check-out dates, guest count, and filters
5. Click Start and wait for the run to complete
6. Download your data in JSON, CSV, Excel, XML, or HTML table format

The simplest input just requires a location:

{
    "locationQueries": ["London"]
}

For targeted searches with dates and filters:

{
    "locationQueries": ["Barcelona, Spain"],
    "checkIn": "2026-06-15",
    "checkOut": "2026-06-22",
    "adults": 2,
    "currency": "EUR",
    "locale": "en-US"
}

Multiple locations in a single run:

{
    "locationQueries": [
        "Paris, France",
        "Rome, Italy",
        "Berlin, Germany"
    ]
}

Fast search-only mode (no detail pages):

{
    "locationQueries": ["Tokyo, Japan"],
    "skipDetailPages": true
}

How do I scrape Airbnb listings and prices?

Parameter	Type	Default	Description
locationQueries	string[]	—	Locations to search (e.g., "London", "Paris, France")
startUrls	URL[]	—	Pre-built Airbnb search URLs (alternative to locationQueries)
checkIn	string	—	Check-in date in YYYY-MM-DD format
checkOut	string	—	Check-out date in YYYY-MM-DD format
adults	integer	1	Number of adult guests
children	integer	0	Number of children
infants	integer	0	Number of infants
pets	integer	0	Number of pets
priceMin	integer	—	Minimum price per night
priceMax	integer	—	Maximum price per night
minBeds	integer	—	Minimum number of beds
minBedrooms	integer	—	Minimum number of bedrooms
minBathrooms	integer	—	Minimum number of bathrooms
locale	string	en-US	Language/locale (en-US, de-DE, fr-FR, ja-JP, etc.)
currency	string	USD	Currency code (USD, EUR, GBP, JPY, etc.)
skipDetailPages	boolean	false	Skip detail pages for faster, cheaper scraping (less data per listing)
maxListings	integer	0	Stop after this many listings (0 = unlimited)
maxPricePerNight	integer	10000	Upper bound for price-range splitting. Increase if scraping luxury markets.
maxRequestsPerCrawl	integer	0	Limit total HTTP requests (0 = unlimited)

What data can I extract from Airbnb?

Full listing output (with detail pages):

{
    "id": "788405891732745420",
    "title": "Recanto da Lima",
    "url": "https://www.airbnb.com/rooms/788405891732745420?adults=1&locale=en-US&currency=USD",
    "androidLink": "airbnb://rooms/788405891732745420",
    "iosLink": "airbnb://rooms/788405891732745420",
    "locale": "en-US",
    "language": "en",
    "price": {
        "label": "$45",
        "qualifier": "per night",
        "price": "$45",
        "originalPrice": null,
        "discountedPrice": null,
        "breakDown": {
            "nightlyPrice": "$45",
            "totalPrice": "$315",
            "cleaningFee": "$30",
            "serviceFee": "$50"
        }
    },
    "coordinates": {
        "latitude": 38.546,
        "longitude": -8.84326
    },
    "description": "Accommodation in a calm and safe residential area...",
    "seoTitle": "Recanto da Lima - Guest suites for Rent in Setúbal",
    "metaDescription": "Private room in Setúbal, Portugal. Accommodation in a calm and safe residential area...",
    "roomType": "Private room in home",
    "isSuperHost": true,
    "personCapacity": 3,
    "rating": {
        "guestSatisfaction": 4.98,
        "reviewsCount": 129,
        "cleanliness": 5,
        "accuracy": 5,
        "checking": 5,
        "communication": 5,
        "location": 4.8,
        "value": 4.9
    },
    "host": {
        "name": "Cláudia",
        "isSuperHost": true,
        "profileImage": "https://a0.muscache.com/im/pictures/user/...",
        "highlights": ["Superhost", "128 reviews", "Identity verified"],
        "about": ["Lives in Setúbal, Portugal", "Speaks English and Portuguese"]
    },
    "amenities": [
        {
            "title": "Bathroom",
            "values": [
                { "title": "Bathtub", "available": true },
                { "title": "Hair dryer", "available": true }
            ]
        }
    ],
    "houseRules": {
        "general": [
            {
                "title": "Checking in and out",
                "values": [
                    { "title": "Check-in after 3:00 PM" },
                    { "title": "Checkout before 11:00 AM" }
                ]
            }
        ]
    },
    "highlights": [
        { "title": "Great check-in experience", "subtitle": "100% of recent guests gave check-in a 5-star rating." }
    ],
    "images": [
        {
            "caption": "Photo 1",
            "imageUrl": "https://a0.muscache.com/im/pictures/hosting/.../original/4fc66ff6.jpeg"
        }
    ],
    "locationDescriptions": [
        { "title": "Setúbal, Portugal", "content": "A calm residential area..." }
    ],
    "coHosts": [],
    "isAvailable": true,
    "thumbnail": "https://a0.muscache.com/im/pictures/hosting/.../original/4fc66ff6.jpeg",
    "timestamp": "2026-01-30T17:10:00.000Z"
}

Search-only output (skipDetailPages: true):

{
    "id": "788405891732745420",
    "title": "Recanto da Lima",
    "url": "https://www.airbnb.com/rooms/788405891732745420",
    "androidLink": "airbnb://rooms/788405891732745420",
    "iosLink": "airbnb://rooms/788405891732745420",
    "locale": "en",
    "language": "en",
    "price": {
        "label": "$45",
        "qualifier": "per night",
        "price": "$45",
        "originalPrice": null,
        "discountedPrice": null
    },
    "coordinates": {
        "latitude": 38.546,
        "longitude": -8.843
    },
    "roomType": "Entire home/apt",
    "rating": {
        "guestSatisfaction": 4.98,
        "reviewsCount": 129
    },
    "thumbnail": "https://a0.muscache.com/im/pictures/hosting/.../original/4fc66ff6.jpeg",
    "coHosts": [],
    "images": [],
    "isAvailable": true,
    "timestamp": "2026-01-30T17:00:00.000Z"
}

How do I get the best results from Airbnb Scraper?

• Start small — set maxListings to 10 for a test run before scraping an entire city
• Use search-only mode (skipDetailPages: true) for fast market overviews when you only need listing counts, prices, locations, and ratings
• Run multiple locations in one run using the locationQueries array — you pay the start fee only once
• Increase maxPricePerNight above 10000 if scraping luxury markets where listings exceed $10,000/night
• Add check-in/check-out dates to get availability-specific pricing breakdowns and total costs including fees
• Use startUrls to apply Airbnb filters not available as input fields — set up your search on airbnb.com, copy the URL, and paste it into startUrls
• Schedule recurring runs to build a time series of pricing data for trend analysis

How to monitor Airbnb prices in your area

Price monitoring is one of the most popular use cases for Airbnb Scraper. By scheduling recurring runs against the same location query, you build a time series of nightly rates, occupancy signals, and new listings — without writing a single line of custom tracking code.

Step-by-step price monitoring setup:

1. Run the scraper once for your target area (e.g., "Austin, TX") in search-only mode to get a baseline dataset
2. Open the Actor in Apify Console, go to Schedules, and create a daily or weekly recurring schedule
3. Each run saves a new dataset — compare datasets over time to spot pricing trends, new competition, or seasonal shifts
4. Connect to Google Sheets via the Apify integration to get an auto-updating spreadsheet with all historical snapshots
5. Add a webhook to receive a Slack/Discord alert when each run completes, so you always know when fresh data is available

What to track:

• Average nightly price per neighborhood over time
• Number of active listings (supply changes)
• Superhost density as a proxy for market maturity
• Price gaps between listing types (entire home vs. private room)

For real estate investors and vacation rental managers, scheduling weekly scrapes of target markets is the cheapest way to track rental market movements — far cheaper than subscribing to a dedicated data provider.

How to download Airbnb listing data without coding

You don't need any programming knowledge to get structured Airbnb data. The entire workflow runs in your browser via Apify Console.

No-code walkthrough:

1. Go to Airbnb Scraper and click Try for free
2. In the input form, type your target location (e.g., "Miami Beach, FL") into the Location queries field
3. Optionally set check-in and check-out dates to get availability-specific pricing
4. Click Start — the run takes 1–10 minutes depending on market size
5. When it finishes, click Export and choose your format: CSV (Excel-compatible), JSON, or Excel (XLSX)
6. Open the CSV in Google Sheets or Microsoft Excel for instant analysis

Tips for non-technical users:

• Use search-only mode (toggle skipDetailPages to true) for a faster, cheaper run if you only need prices and ratings
• Set maxListings to 100 for a quick preview before committing to a full city scrape
• The Apify Free plan gives you $5/month in credit — enough for ~1,600 listings at no cost

No API keys, no code, no setup beyond creating a free Apify account.

Airbnb market analysis: how to compare listings

Airbnb Scraper is purpose-built for competitive market analysis. Here's how to use the data to compare listings, identify pricing opportunities, and benchmark your property against the competition.

Key metrics to extract and compare:

Metric	Field in output	Why it matters
Nightly price	price.price	Core competitive benchmark
Rating breakdown	rating.*	Identify where top performers score vs. average
Superhost density	isSuperHost	Signals market competitiveness
Review count	rating.reviewsCount	Proxy for booking velocity
Amenity gaps	amenities[].values	Find amenities that top listings share but yours lacks
Room type mix	roomType	Understand supply structure

Workflow for a competitive analysis:

1. Scrape your target neighborhood in full mode to get all 40+ fields per listing
2. Export to CSV and open in Excel or Google Sheets
3. Filter by roomType = "Entire rental unit" to compare apples to apples
4. Sort by rating.guestSatisfaction descending — study the top 20 listings' amenities and pricing
5. Create a pivot table grouping by price range to see rating distributions at each tier
6. Use coordinates to build a map visualization in Google Sheets or Tableau

Pair Airbnb Scraper with the Airbnb Reviews Scraper to add sentiment analysis — see what guests praise and complain about across competing listings, and use that to improve your own listing copy and amenities.

Integrations

Airbnb Scraper connects with any cloud service or web app through Apify integrations.

Common workflows:

• Airbnb to Google Sheets — automatically export listing data to a spreadsheet for collaborative analysis and price tracking
• Airbnb to Slack/Discord — get notified when a scraping run completes or when new listings appear in your market
• Airbnb to Make/Zapier — trigger downstream workflows: update a CRM, send email alerts, populate a database
• Airbnb to BigQuery/Snowflake — pipe listing data into your data warehouse via Airbyte for large-scale analytics
• Scheduled runs — set up daily, weekly, or monthly scrapes to track pricing trends over time
• Webhooks — receive results via HTTP POST as soon as the run finishes for real-time processing

Using the Apify API

The Apify API gives you programmatic access to run this Actor, retrieve datasets, and automate scraping workflows.

Node.js:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });
const run = await client.actor('automation-lab/airbnb-listing').call({
    locationQueries: ['London'],
    currency: 'GBP',
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python:

from apify_client import ApifyClient

client = ApifyClient('YOUR_API_TOKEN')
run = client.actor('automation-lab/airbnb-listing').call(run_input={
    'locationQueries': ['London'],
    'currency': 'GBP',
})
items = client.dataset(run['defaultDatasetId']).list_items().items
print(items)

cURL:

curl "https://api.apify.com/v2/acts/automation-lab~airbnb-listing/runs" \
  -X POST \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -d '{"locationQueries": ["London"], "currency": "GBP"}'

Check out the Apify API reference for full documentation.

Use with AI agents via MCP

Airbnb Scraper is available as a tool for AI assistants that support the Model Context Protocol (MCP). This lets you scrape Airbnb data using natural language — just ask your AI assistant to "get Airbnb listings in Tokyo" and it will configure and run the scraper for you.

Setup for Claude Code

$claude mcp add --transport http apify "https://mcp.apify.com"

Setup for Claude Desktop, Cursor, or VS Code

Add this to your MCP config file:

{
    "mcpServers": {
        "apify": {
            "url": "https://mcp.apify.com"
        }
    }
}

Your AI assistant will use OAuth to authenticate with your Apify account on first use.

Example prompts

Once connected, try asking your AI assistant:

• "Get all Airbnb listings in downtown Miami under $200/night"
• "How many Airbnb listings are available in Tokyo for next month?"
• "Scrape Airbnb data for Paris, Rome, and Berlin and compare average prices"
• "Find all Superhosts with 4.9+ ratings in Barcelona"

Learn more in the Apify MCP documentation.

How many Airbnb listings are there by city?

Airbnb hosts over 8 million active listings in 220+ countries. Here are listing counts from real scraping runs using this actor (2026 data):

City	Listings found	Scrape time	Cost
Tokyo, Japan	14,007	~7 min	~$42
London, UK	12,037	~7 min	~$36
Cape Town, SA	7,407	~6 min	~$22
Brooklyn, NYC	3,117	~4 min	~$9

These numbers represent all available listings — not the 300-result cap most other Airbnb scrapers return. The price-range binary splitting algorithm discovers every listing in a target area, making this data suitable for market sizing, investment analysis, and academic research.

FAQ

What's the difference between full mode and search-only mode?

Full mode (skipDetailPages: false, the default) extracts rich data for each listing: full description, all amenities, host profile, 30+ photos, house rules, and cancellation policies. It takes longer because it visits each listing page individually.

Search-only mode (skipDetailPages: true) extracts data from search results only. You get: ID, title, URL, price, coordinates, room type, star rating, review count, and a thumbnail. It's roughly 5x faster — ideal for market sizing, location mapping, or when you just need listing counts with prices. Both modes cost the same per listing.

How does this compare to other Airbnb scrapers?

Most Airbnb scrapers on the market are limited by Airbnb's pagination — they return at most 300 results per query. This scraper uses price-range binary splitting to find every listing in your target area, no matter how many there are. In our tests, London returned 12,000+ listings, Tokyo 14,000+, and Cape Town 7,400+. Every result includes pricing data.

How much does it cost?

You pay $3 per 1,000 listings on the Apify Free plan. Higher Apify subscription tiers get volume discounts (down to $0.75 per 1,000 on Diamond). All platform costs are included — no surprise compute or proxy charges. With the Free plan's $5 monthly credit, you can scrape ~1,600 listings at no cost.

How many listings can this scraper find?

There is no hard cap. The price-range splitting algorithm discovers all listings in your target area. In our tests: London returned 12,000+ listings, Tokyo 14,000+, and Cape Town 7,400+.

Can I scrape multiple cities at once?

Yes. Add multiple locations to the locationQueries array and they'll all be scraped in a single run.

Why does every listing have a price?

The scraper extracts prices from search results where Airbnb always includes pricing data. This means 100% price coverage regardless of whether you use full mode or search-only mode.

Can I filter by property type, amenities, or other criteria?

You can filter by price range, number of bedrooms/beds/bathrooms, and guest count directly in the input. For property type and amenity filtering, use startUrls with a pre-filtered Airbnb search URL from your browser.

What if some listings are missing or the run seems slow?

• Make sure your location name is specific enough. "London" works, but "London, UK" is better to avoid ambiguity.
• For cities with 10,000+ listings, a full run may take 5-10 minutes — this is normal.
• If you're scraping luxury markets, increase maxPricePerNight above 10000 to ensure high-end listings are included.
• Check the run log in Apify Console for any specific errors.

Is it legal to scrape Airbnb?

Our scrapers are ethical and do not extract any private user data. They only extract what Airbnb has chosen to make publicly available on listing pages. We believe that our scrapers, when used for ethical purposes, are safe. However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers. You can also read our blog post on the legality of web scraping.

Legality

Airbnb Scraper only accesses publicly available listing data from Airbnb. It does not bypass any login walls, CAPTCHAs, or access controls. The data collected is the same as what any visitor can see when browsing Airbnb listings without an account.

Web scraping of publicly available data is generally legal, but results may contain personal data protected by GDPR and other regulations. You should not scrape personal data unless you have a legitimate reason to do so. Review Airbnb's Terms of Service and applicable laws in your jurisdiction. You can read more about the legality of web scraping.

Related scrapers

• Airbnb Reviews Scraper — Extract all reviews for any Airbnb listing with ratings, sorting, and topic filters
• Booking.com Scraper — Scrape hotels, prices, and ratings from Booking.com
• TripAdvisor Scraper — Scrape reviews, ratings, and business details from TripAdvisor
• Google Maps Reviews Scraper — Extract reviews and ratings from Google Maps business listings
• Trustpilot Scraper — Search for businesses and scrape reviews from Trustpilot