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Airbnb Scraping: The Complete Guide 2025

Scrape smart, stay ahead

Airbnb Scraping: The Complete Guide 2025

Iana Aksenova

AI Expert

Reading time
November 21, 2025

Scrolling through endless Airbnb options gives you an unusual mix of feelings: a sense of belonging, happiness, a spirit of adventure... and nervousness. Yep, finding the perfect Airbnb sometimes feels like playing a mini detective game. You open ten tabs, compare prices, read reviews, check amenities, scroll through photos, and then forget which listing had the balcony. Hosts feel the same pain but from the opposite side: they want to understand competitors, pricing, and trends without spending hours clicking.

Good news: you don’t need superpowers to do all that. Airbnb scrapers collect all the data automatically and bring clarity to the chaos.  

What Is Airbnb Scraping?

Using a web scraper feels like having a personal helper. It does the hard and tedious part for you: finds necessary data, collects it, and makes the final report automatically. Instead of clicking through each card manually, you use a scraping tool that scans the website and pulls all the details into a clean spreadsheet. Of course, we speak about public data that is available to all users. On the Airbnb, you can collect: listing title, prices per night and price range, total ratings, host information, cleaning and service fees, location and neighborhood hints, availability calendar, description text, guest review text, cancellation policy, and some other details. You don’t need to download tons of info. Just tell your scraper what details you need, and it will do everything on its own.  

Why People Use Airbnb Scraping  

Traveling isn't just a wonderful way to relax and unwind, it's also a profitable business. Travelers need to understand where they're going and what conditions they're facing, while owners want to know how to improve their brand and make more money. So, scrapers are needed by both sides of this industry and are suitable not only for leisure but also for complex business needs.

For Travellers

Choosing the right place to stay isn’t just about your joy and new experience, but about your safety and money-saving as well. Make sure you know all the details of your choice and are sure of its reliability. Travelers use Airbnb scraping to:

  • Compare prices across multiple neighborhoods;
  • Spot hidden fees (cleaning, service, taxes);
  • Identify peak season patterns;
  • Detect fake or suspicious listings;
  • Find the best-value stay for the lowest price.

For Hosts

Airbnb reviews are a real growth fuel. Learning about competitor pricing and understanding amenities that boost bookings give hosts a considerable advantage. Here are some other reasons to use scrapers:

  • Track local demand;
  • Compare ratings and reviews of similar listings;
  • Adjust strategy for seasonal trends;
  • Optimize cleaning and service fees;
  • Detect new offers entering the market.

In a highly competitive environment, data means booking. And booking gives money.  

For Businesses

No wonder that data can be used in multiple ways. Agencies, analysts, and rental investment companies can scrape Airbnb to study market trends and pricing patterns. Scaping will also be suitable, if you want to:  

  • Find profitable locations for short-term rentals;
  • Build dashboards or market reports;
  • Collect datasets for research, analytics, or automation;
  • Monitor multiple cities simultaneously.

Airbnb scraping for hosts, travelers, and businesses

Is Airbnb Scraping Legal?

Well, yes. It is legal for you to gather data. Yet make sure you collect only publicly available materials and don’t scrape personal info. Do your best to avoid sending thousands of requests at once. And use the data only for research, analysis, or comparison. Most legal issues happen when people use bots that overload the website. Use AI tools to browse websites smartly.

Main Methods of Airbnb Scraping

Let’s quickly review all available scraping methods. You can combine them or use just the one you like most. It’s up to you.  

Manual Copy/Paste (a prehistoric mode): this option is really easy for very small datasets and needs no special tools. Yet it’s extremely slow and impossible to scale. Manual copying can lead to mistakes and information gaps. And the process is painful, boring, and takes an incredible amount of time.

Browser Extensions: special settings are a good way to capture data. It’s easy to install, requires no coding, and OK for small tasks. But be ready to face these limitations: extensions can trigger blocks and are slow when scraping many listings.

Python Scrapers: if you are looking for a customizable solution, then it is what you need. Write your own code the way you like and get full control over the workflow. That way, you can handle big projects. But this solution has a problem: python scrapers require coding knowledge and additional proxies. It is really time-consuming and sometimes may break because of Airbnb updates layouts.

AI Agents: these tools are becoming the default choice among more and more users. They combine power, simplicity, and safety. It is a perfect solution for newbies (you need no coding skills to start working with an AI helper). AI Agents work for huge datasets and have scheduling and automation features.

Nextbrowser for Airbnb Scraping

This tool is the most advanced AI Agent for scraping Airbnb in 2025. Imagine having a smart assistant that works 24/7 in the cloud, never gets blocked, and requires zero coding skills. It sounds like a dream!

How to Scrape Airbnb Listings with the AI Agent

In fact, you need only a few minutes to start your Nextbrowser routine:

Step #1. Create an account: visit the Nextbrowser website and log in. The registration process takes just a few minutes.  

Step #2. Describe what you want: write a detailed prompt. Tell your AI assistants what data you need. The more details you give, the better results you will get. For example:

“Scrape Airbnb listings in Barcelona. Collect: listing title, price per night, fees, host name, rating, number of reviews, amenities list, location hints, and link. Extract 3 results and export to CSV.”

If you’re unsure what to write, use a cool Nexbrowser tool: the prompt enhancer.

Scraping Airbnb with Nextbrowser

Step #3. Run the task: sit back and watch how the data is gathered. Nextbrowser will open Airbnb, load all listings, open each page, scroll for details, and extract structured data.  

Everything happens in the cloud, so you can close your laptop and grab a cup of coffee. Don’t worry about blocks: Nexbrowser behaves like a real user.  

Step #4. Download the results: get the file with a structured table and all necessary data. The task will be saved in your profile, so you can check later.  

Results of Airbnb scraping

Airbnb isn’t the only option for data scraping. Nextbrowser is a multifunctional tool. It’s suitable for data extraction from different websites. You can find perfect offers with an eBay scraper and explore restaurants in different cities with a Google Maps scraper.

Advanced Airbnb Scraping Tips

There is also a way to make your everyday scraping routine a little bit better. Try these:

  • Add several locations in one task to increase the number of data sources;
  • Use keywords that are suitable to your topic;
  • Scrape multiple seasons: compare winter and summer pricing;
  • Track competitors on schedule (daily, weekly, or monthly);
  • Scrape nearby attractions for travel research.

Reaching the Destination: Smarter Airbnb Scraping

Airbnb scraping is a cool source of information and insights. Whether you’re a traveler, a host, a researcher, or a business owner, data gives you a real advantage. Great AI tools like Nexbrowser make the scraping process simple and hassle-free.