Airbnb Scraper

High-speed, production-grade Airbnb Scraper built by Mikolabs. Extract structured vacation rental data from any destination, city, or custom search URL in seconds. Built on modern Crawlee and Playwright with intelligent parallel cursor navigation, resource blocking, and anti-blocking residential proxy integration.

---

⚡ What Makes Mikolabs Airbnb Scraper Better?

Unlike traditional scrapers that crawl listings sequentially and take minutes to finish, this Actor is optimized from the ground up:

• 🚀 Ultra-Fast Parallel Architecture (10 Concurrent Workers): Collect 50 listings in under 18–35 seconds. Instead of waiting for pages one by one, our cursor engine discovers all pagination tokens on Page 1 and scrapes pages concurrently.
• 🌐 90% Less Bandwidth & Memory: Automatically blocks non-essential media (images, fonts, video streams, ad trackers) during crawl execution, ensuring lightning-fast page rendering and massive savings on proxy bandwidth costs.
• 🎯 Full Filter Support: Query by destinations or apply custom granular filters: exact check-in/out dates, price ranges, guest counts, room configurations (beds, baths, bedrooms), currencies, and languages.
• 📍 Precise Geolocation & Rich Metadata: Extracts latitude, longitude coordinates, room details, pricing breakdowns, star ratings, accessibility labels, and direct listing links.
• 🛡️ Built-in Anti-Bot Bypass: Native integration with Apify Residential Proxies and randomized fingerprinting avoids blocks, CAPTCHAs, and IP bans.

---

📌 What Data Does It Extract?

Every record in the dataset is normalized into clean, structured JSON ready for analytics, spreadsheets, or machine learning pipelines:

Field	Type	Description
id	String	Unique Airbnb property / room identifier.
url	String	Direct canonical URL to the Airbnb listing (https://www.airbnb.com/rooms/...).
name	String	Full title / localized display name of the accommodation.
title	String	Subtitle / property category (e.g., Entire home in London).
roomType	String	Accommodation type (e.g., Entire rental unit, Private room).
price	String	Display price (e.g., $120, ₹4,500, €95).
priceQualifier	String	Price qualifier (e.g., per night, for 5 nights, total before taxes).
rating	String	Average customer review rating (e.g., 4.92, New).
ratingA11yLabel	String	Full accessibility rating label with review context.
coordinates	Object	Geolocation object containing { latitude, longitude }.
roomDetails	Array	Structured list of room specs (e.g., ["2 bedrooms", "2 beds", "1 bath"]).
images	Array	High-resolution listing photo URLs.
checkIn	String	Configured check-in date (YYYY-MM-DD).
checkOut	String	Configured check-out date (YYYY-MM-DD).

---

🚀 How to Use Airbnb Scraper to Its Full Potential

You can run this Actor in three distinct modes depending on your workflow:

Mode 1: Search by Destination Queries (Easiest)

Simply provide a list of cities or locations. The Actor automatically forms Airbnb search queries:

{
  "locationQueries": ["London, UK", "Paris, France", "Tokyo, Japan"],
  "maxResults": 50
}

Mode 2: Granular Filters (Dates, Guests, Budget, Currency)

Fine-tune search results with Airbnb's booking engine parameters:

{
  "locationQueries": ["Miami Beach, FL"],
  "checkIn": "2026-12-01",
  "checkOut": "2026-12-07",
  "priceMin": 100,
  "priceMax": 350,
  "adults": 2,
  "children": 1,
  "minBedrooms": 2,
  "minBeds": 2,
  "minBathrooms": 1,
  "currency": "USD",
  "locale": "en-US",
  "maxResults": 100
}

Mode 3: Direct Airbnb Search URLs (Maximum Control)

Go to Airbnb.com, perform any search with your custom filters, amenities (e.g., pool, beachfront, pet-friendly), or map zoom, then paste the URL directly into startUrls:

{
  "startUrls": [
    {
      "url": "https://www.airbnb.com/s/Wakad--Pune--Maharashtra/homes?guest_favorite=true&min_beds=2"
    }
  ],
  "maxResults": 100
}

---

⚙️ Input Configuration Reference

Parameter	Type	Default	Description
locationQueries	array	["London"]	Target cities or regions to search. Example: ["New York", "Barcelona"].
startUrls	array	[]	Exact Airbnb search result URLs with custom filters.
maxResults	integer	50	Maximum listings to collect across the run.
checkIn	string	""	Arrival date in YYYY-MM-DD format (uses calendar picker).
checkOut	string	""	Departure date in YYYY-MM-DD format (uses calendar picker).
currency	string	"USD"	Target pricing currency (USD, EUR, GBP, INR, AUD, CAD, JPY, etc.).
locale	string	"en-US"	Display language & locale (en-US, en-GB, fr-FR, de-DE, es-ES, etc.).
priceMin	integer	0	Minimum nightly price filter.
priceMax	integer	0	Maximum nightly price filter.
adults	integer	0	Number of adult guests.
children	integer	0	Number of children.
infants	integer	0	Number of infants.
pets	integer	0	Number of pets allowed.
minBeds	integer	0	Minimum number of beds.
minBedrooms	integer	0	Minimum number of bedrooms.
minBathrooms	integer	0	Minimum number of bathrooms.

---

📊 Sample Output Data

{
  "id": "1192847192837192",
  "url": "https://www.airbnb.com/rooms/1192847192837192",
  "name": "Luxury Central Penthouse with Skyline Terrace",
  "title": "Entire rental unit in Westminster",
  "roomType": "Entire rental unit",
  "price": "$280",
  "priceQualifier": "per night",
  "rating": "4.96",
  "ratingA11yLabel": "4.96 out of 5 stars, 142 reviews",
  "coordinates": {
    "latitude": 51.4995,
    "longitude": -0.1332
  },
  "roomDetails": [
    "4 guests",
    "2 bedrooms",
    "2 beds",
    "2 baths"
  ],
  "images": [
    "https://a0.muscache.com/im/pictures/hosting/Hosting-1192847192837192/original/a1b2c3d4-e5f6-7890.jpeg"
  ],
  "checkIn": "2026-12-01",
  "checkOut": "2026-12-07"
}

---

💼 Practical Use Cases

• 📈 Short-Term Rental Market Research: Track pricing dynamics, occupancy trends, and supply in emerging tourist hotspots.
• 🏷️ Real Estate Investing & Arbitrage: Identify high-performing property types, bed-to-bath ratios, and average nightly rates (ADR).
• 🥊 Competitor Price Monitoring: Automatically monitor competitor listings and adjust dynamic pricing for your vacation rental portfolio.
• 🗺️ Travel & Hospitality Aggregators: Populate travel booking websites, itinerary planners, and comparison portals with live Airbnb data.
• 🤖 AI & Machine Learning: Build models to predict listing demand, optimal pricing algorithms, and guest review sentiment.

---

🔄 Integrations & Export Formats

Mikolabs Airbnb Scraper connects seamlessly with your existing data stack:

• Export Formats: Download data directly from Apify Console in JSON, CSV, Excel (XLSX), XML, or HTML table.
• No-Code Automation: Connect directly to Make, Zapier, Google Sheets, Slack, and Airtable.
• Webhooks: Set up real-time webhooks to trigger downstream cloud functions or database imports upon crawl completion.

---

💻 Programmatic API Access

You can trigger and integrate this scraper directly from your applications using Apify's official client libraries:

Node.js / JavaScript

import { ApifyClient } from 'apify-client';

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

const run = await client.actor('mikolabs/airbnb-scraper').call({
    locationQueries: ['London, UK'],
    maxResults: 50,
    currency: 'USD',
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Retrieved ${items.length} listings:`, items);

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run = client.actor("mikolabs/airbnb-scraper").call(
    run_input={
        "locationQueries": ["Paris, France"],
        "maxResults": 50,
        "currency": "EUR",
    }
)

dataset_items = client.dataset(run["defaultDatasetId"]).list_items().items
print(f"Scraped {len(dataset_items)} listings.")

---

❓ Frequently Asked Questions (FAQ)

How fast is this scraper?

Thanks to Mikolabs' parallel cursor batching and asset blocking, this Actor scrapes 50 listings in ~18–35 seconds.

Do I need my own proxies?

No. The Actor comes pre-configured with Apify Residential Proxies (RESIDENTIAL group), ensuring seamless rotation and maximum success rate. When running locally without a paid proxy plan, it automatically falls back gracefully.

Can I scrape thousands of listings?

Yes. Simply adjust maxResults to your desired volume. For large datasets (e.g., 500+ listings), we recommend splitting queries across multiple sub-locations (e.g., neighborhood names) to bypass Airbnb's internal ~300-listing search query ceiling.

---

📬 Support & Feedback

Maintained by Mikolabs. We continuously maintain and optimize this Actor to adapt to Airbnb's frequent layout and API changes.

Have a feature request, question, or need a custom enterprise scraping solution?

• Open an issue in the Issues tab.
• Contact our team through Mikolabs on Apify.