🏠 Airbnb Scraper — Extract Listings, Prices & Host Data

What does Airbnb Scraper do?

Airbnb Scraper extracts structured data from Airbnb listings for any location worldwide — prices, ratings, host info, amenities, GPS coordinates, and more. Search by city, region, or zip code, or pass in direct listing URLs for targeted extraction.

Why use Airbnb Scraper?

• No manual browsing — scrape hundreds of listings in minutes, not hours
• Structured JSON output — clean, analysis-ready data for spreadsheets, databases, or AI pipelines
• Dual input mode — search by destination OR scrape specific listing URLs
• Rich host data — Superhost status, response rate, response time per listing
• MCP-compatible — works seamlessly with Claude, ChatGPT, and other AI agents via the Apify MCP server

What data can Airbnb Scraper extract?

Field	Description	Example
listing_id	Airbnb's unique listing ID	12345678
listing_url	Direct URL to the listing	https://airbnb.com/rooms/12345678
name	Listing title	Cozy Downtown Loft with City Views
description	Full listing description	Welcome to our beautiful...
property_type	Home, room, hotel room, etc.	Entire home
room_type	Airbnb room type category	entire_home
price_per_night	Nightly price (numeric)	120
price_currency	Currency code	USD
original_price_per_night	Pre-discount price	150
cleaning_fee	One-time cleaning charge	45
total_price	Full stay total (when dates given)	385
rating	Average guest rating (1–5)	4.87
review_count	Number of reviews	234
host_name	Host display name	Sarah
host_id	Airbnb host ID	9876543
is_superhost	Superhost status	true
host_response_rate	% of messages responded to	100%
host_response_time	Typical response speed	within an hour
city	City	New York
state	State or region	NY
country	Country	United States
neighborhood	Neighborhood / district	Lower East Side
latitude	GPS latitude	40.7128
longitude	GPS longitude	-74.0060
bedrooms	Number of bedrooms	2
beds	Number of beds	3
bathrooms	Number of bathrooms	1.5
max_guests	Max guest capacity	4
amenities	List of amenities	["WiFi", "Kitchen", "Pool"]
thumbnail_url	Main listing photo URL	https://a0.muscache.com/...
photos	All photo URLs (array)	[...]
minimum_nights	Minimum stay required	2
cancellation_policy	Cancellation policy name	Flexible
check_in_time	Check-in time	3:00 PM
check_out_time	Check-out time	11:00 AM
is_available	Available for your dates	true
scraped_at	ISO timestamp of scrape	2026-04-09T12:00:00.000Z
source_url	URL this record was scraped from	https://airbnb.com/s/...

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Tutorial: How to Use Airbnb Scraper

Method 1 — Search by Location (most common)

1. Open the actor and fill in Location / Search Query (e.g. Miami Beach, FL)
2. Optionally set check-in/check-out dates to get accurate pricing and availability
3. Set Maximum Results (1–300 recommended per search)
4. Click Start — results arrive in the Output tab within minutes

Method 2 — Scrape Specific Listings

1. Copy the Airbnb listing URL(s) you want to scrape (e.g. https://www.airbnb.com/rooms/12345678)
2. Paste them into Direct Listing URLs
3. Leave Location / Search Query empty
4. Click Start — each listing is scraped for full detail data

Using Filters

Narrow your results with optional filters:

• Check-in / Check-out dates — filters to available properties, gives accurate pricing
• Adults / Children / Pets — filters by guest capacity and pet-friendliness
• Min / Max Price — set a nightly rate budget range
• Minimum Bedrooms — filter by bedroom count
• Property Type — Entire home, Private room, or Hotel room only

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Input Parameters

Parameter	Type	Default	Description
locationQuery	string	—	City, region, or address to search (e.g. "Paris, France")
startUrls	array	—	Direct Airbnb listing URLs to scrape
checkIn	string	—	Check-in date (YYYY-MM-DD)
checkOut	string	—	Check-out date (YYYY-MM-DD)
adults	integer	2	Number of adult guests
children	integer	0	Number of child guests
pets	integer	0	Number of pets
minPrice	integer	—	Minimum nightly price (USD)
maxPrice	integer	—	Maximum nightly price (USD)
minBedrooms	integer	—	Minimum bedroom count
propertyType	string	all	entire_home, private_room, hotel_room, or empty for all
maxResults	integer	50	Maximum number of listings to scrape
proxyConfiguration	object	Residential	Proxy settings (residential recommended)

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Pricing

This actor uses pay-per-event pricing — you only pay for listings actually scraped. No subscription, no monthly fees.

Volume	Cost
100 listings	$0.20
500 listings	$1.00
1,000 listings	$2.00
10,000 listings	$20.00

All costs include compute, proxy, and storage — no surprises.

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Code Examples

JavaScript / Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });

const run = await client.actor('khadinakbar/airbnb-scraper').call({
    locationQuery: 'Miami Beach, FL',
    checkIn: '2026-06-01',
    checkOut: '2026-06-07',
    adults: 2,
    maxResults: 100,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Scraped ${items.length} listings`);
console.log(items[0]);

Python

from apify_client import ApifyClient

client = ApifyClient('YOUR_API_TOKEN')

run = client.actor('khadinakbar/airbnb-scraper').call(run_input={
    'locationQuery': 'Miami Beach, FL',
    'checkIn': '2026-06-01',
    'checkOut': '2026-06-07',
    'adults': 2,
    'maxResults': 100,
})

items = list(client.dataset(run['defaultDatasetId']).iterate_items())
print(f'Scraped {len(items)} listings')
print(items[0])

Via API (cURL)

curl -X POST "https://api.apify.com/v2/acts/khadinakbar~airbnb-scraper/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "locationQuery": "Miami Beach, FL",
    "maxResults": 50
  }'

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Use Cases

Real estate investment research — Compare nightly rates across neighborhoods to identify high-performing vacation rental markets. Export to Excel and calculate projected annual revenue.

Competitive pricing analysis — Property managers can benchmark their listing against comps in the same area, same bedroom count, same guest capacity.

Travel market research — Researchers and analysts can track pricing trends, seasonal availability, and Superhost density across destinations.

AI-powered travel assistants — With the Apify MCP server, Claude and other AI agents can call this scraper directly in response to queries like "find me pet-friendly 2-bedroom listings in Austin under $200/night."

Hospitality industry data — Track inventory levels, average ratings, and amenity trends across specific markets for hotel and property management companies.

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Works Great With

• Apify Shopify Scraper — For e-commerce data alongside your rental research
• Apify Dataset → Google Sheets integration — Export results directly to spreadsheets
• Apify Scheduler — Run weekly to track price trends over time

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FAQ

How many results can I get per search? Airbnb typically surfaces up to 300 results per search query. To get more, run multiple searches with different filters (price ranges, neighborhoods, etc.).

Does this require Airbnb login? No — this actor scrapes publicly available listing data. No Airbnb account or credentials required.

How accurate are the prices? Prices are most accurate when you provide check-in/check-out dates. Without dates, you'll see the base nightly rate but not cleaning fees or total stay costs.

Why did I get fewer results than expected? Airbnb may return fewer listings than requested if there aren't enough listings matching your filters. Try broadening your search (remove price filters, reduce guest count, expand the location).

Can I scrape reviews? The current version extracts the rating score and review count. Detailed individual reviews are not included in this version.

What proxy do I need? The actor uses Apify's residential proxy pool by default, which works well for Airbnb. Datacenter proxies may be blocked — residential is recommended.

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Legal Disclaimer

This actor is intended for lawful data collection from publicly available information on Airbnb. Users are responsible for compliance with applicable laws, Airbnb's Terms of Service, and data protection regulations (GDPR, CCPA, etc.). The author does not condone unauthorized data collection or any use that violates platform terms. Always use scraped data responsibly.

Export scraped data, run the scraper via API, schedule and monitor runs, or integrate with other tools.