Extract Accommodation Detail from Airbnb

What Data Can Be Scraped From Airbnb Accommodation Details?

Public Airbnb accommodation pages contain a wide range of information that can be scraped, such as:

• Property Information: Titles, descriptions, locations, prices per night, and guest capacity.
• Host Information: Name, status (e.g., Superhost), and duration of hosting.
• Amenities and Highlights: Features like Wi-Fi, kitchen, pools, dedicated workspace, and more.
• Property Features: Number of bedrooms, beds, bathrooms, and specific room details.
• Guest Policies: Check-in/check-out times, maximum guest limits, and cancellation policies.
• Ratings and Reviews: Total number of reviews, average ratings, and category-specific ratings (cleanliness, location, communication, etc.).
• Neighborhood Insights: Descriptions of the surrounding area and proximity to attractions.

This kind of data can power applications like:

• Price comparison tools for travelers.
• Real estate investment analysis dashboards.
• Travel recommendation engines.
• Dynamic pricing solutions for hosts and property managers.

How does it work?

Getting started with Mrscraper’s ScrapeGPT is simple and user-friendly. Just follow these steps:

1. Create Your Account: Sign up or log in to your account on MrScraper. It’s quick, easy, and free to get started.

2. Initiate Scraping: On the homepage, select “New ScrapeGPT” and paste the Airbnb page URL you wish to scrape.

3. Process the Page: Let ScrapeGPT process the selected page. The tool will analyze the page to identify and extract relevant data.

4. Enter a Prompt: Type in your prompt, such as “Get all the data”, and ScrapeGPT will handle the rest seamlessly.

5. Download Your Data: Once the scraping is complete, download the data in your preferred format—JSON or CSV—for easy analysis and integration into your workflow.

Input URL

Example URL

Sample Output

The data extracted can be provided in JSON formats, ensuring compatibility with your workflow. For example:

Sample Output (JSON)

{
    "listing_title": "Cozy Mezzanine Tiny Villa 4 mins from Beach",
    "price_per_night": "$93",
    "rating": 4.89,
    "location": "Pantai Nyanyi, Indonesia",
    "guest_capacity": "2 guests",
    "bedrooms": 1,
    "beds": 1,
    "bathrooms": 1,
    "host_name": "Irene",
    "host_status": "Superhost",
    "hosting_duration": "2 years",
    "listing_highlights": [
        "Dedicated workspace",
        "Great check-in experience",
        "Superhost"
    ],
    "description": "Welcome to our charming Tiny Villa, located in a peaceful and picturesque neighborhood. This cozy and thoughtfully designed space is perfect for solo travelers or couples looking for a unique and comfortable stay. The Tiny Villa is a fully furnished, self-contained unit with everything you need to feel at home during your stay.",
    "space_details": {
        "bedroom": "Mezzanine level with king-sized bed",
        "bathroom": "Private bathroom with shower and bathtub",
        "living_area": "Bright and airy with floor-to-ceiling windows, kitchenette, and dining area",
        "outdoor_space": "Private pool and garden"
    },
    "guest_access": "Exclusive access to the entire property including bedrooms, living areas, kitchen, and outdoor amenities.",
    "other_notes": "Not suitable for children and elderly guests due to a narrow ladder leading to the mezzanine bedroom. Ongoing construction nearby may cause noise during the day.",
    "amenities": [
        "Kitchen",
        "Wifi",
        "Dedicated workspace",
        "Free parking on premises",
        "Private outdoor pool"
    ],
    "check_in": "After 3:00 PM",
    "check_out": "Before 11:00 AM",
    "max_guests": 2,
    "cancellation_policy": "Cancel before Mar 30 for a partial refund. After that, this reservation is non-refundable.",
    "reviews": {
        "total_reviews": 89,
        "average_rating": 4.89,
        "cleanliness_rating": 4.8,
        "accuracy_rating": 4.9,
        "check_in_rating": 4.9,
        "communication_rating": 4.9,
        "location_rating": 4.6,
        "value_rating": 4.7
    },
    "neighborhood_description": "Pantai Nyanyi is characterized by beautiful scenery and serene ambiance, with a peaceful black sand beach nearby. The area offers opportunities for leisurely strolls, local cafes, and attractions like Tanah Lot Temple and adventure activities such as surfing and trekking."
}

Is Scraped Data from Airbnb Legal?

Scraping public data is legal when done ethically and within the boundaries of the platform’s terms of service. Here are some best practices to consider:

• Scrape Only Public Information: Avoid any pages that require login or bypassing CAPTCHA.
• Respect Robots.txt: Always check whether the site's robots.txt file allows scraping on specific paths.
• Throttle Requests: Imitate human behavior with delays and avoid aggressive scraping.
• Avoid PII: Do not collect personally identifiable information such as emails or phone numbers.

MrScraper helps you stay compliant by offering proxy rotation, fingerprint masking, and other tools that align with ethical scraping practices.

Conclusion

Extracting accommodation details from Airbnb opens up new possibilities for data-driven travel solutions and market insights. Whether you're a developer, analyst, or startup founder, using scraping tools like MrScraper lets you access critical data points at scale—legally and efficiently.

Frequently Asked Questions

What is an Airbnb accommodation scraper used for?

An Airbnb accommodation scraper extracts structured listing data—prices, amenities, host details, ratings, and availability—from public listing pages. Travel startups, real estate investors, and market researchers use it to build price comparison tools, dynamic pricing models, investment analysis dashboards, and travel recommendation engines.

What data can you extract from an Airbnb listing?

You can extract the listing title, price per night, location, guest capacity, bedroom and bathroom counts, host name and Superhost status, amenities, check-in/check-out policies, cancellation terms, and rating breakdowns (cleanliness, communication, location, value). This supports pricing analysis, market research, and travel app development.

What format is scraped Airbnb data exported in?

Airbnb listing data is typically exported as JSON or CSV. JSON works well for feeding structured listing data into apps, dashboards, or pricing models, while CSV suits spreadsheet-based comparison of prices, amenities, and ratings across multiple properties or neighborhoods.

How do I avoid getting blocked while scraping Airbnb?

Airbnb runs active bot-detection systems and explicitly prohibits automated access in its terms, so blocking risk and legal risk go hand in hand here. Beyond technical measures—rate limiting, proxy rotation, avoiding aggressive request patterns—the underlying issue is contractual, so any scraping should be weighed against Airbnb's current Terms of Service first.

Can I scrape Airbnb without coding skills?

Yes, from a technical standpoint. No-code tools remove the need to write Python or manage proxies and browser fingerprinting yourself—for example, MrScraper's ScrapeGPT lets you paste a listing URL, type a prompt like "Get all the data," and download JSON or CSV. The legal considerations above still apply regardless of tooling.

Can I extract host contact information from Airbnb listings?

No. Public listing pages show the host's name, profile, and Superhost status, but not private contact details like phone numbers or email addresses—those are only revealed after a booking is confirmed, through Airbnb's messaging system. Attempting to collect personal identifiable information beyond what's publicly displayed adds privacy risk on top of scraping risk.

How current is scraped Airbnb pricing and availability data?

Scraped data reflects pricing and availability at the exact moment of extraction. Since hosts adjust prices and calendars frequently—especially with dynamic pricing tools—a single scrape is a snapshot rather than a live feed. Tracking trends over time requires scraping the same listings on a recurring schedule.

How is scraping Airbnb different from scraping Booking.com or Vrbo?

The type of data—price, amenities, host or property details, reviews—is similar across short-term rental platforms, but each site has its own page structure, anti-bot defenses, and Terms of Service. Airbnb's explicit anti-scraping clause and active bot detection make it one of the more restrictive platforms to scrape compared to some alternatives.