Sahibinden Land Listings: 226K Plots for Sale, Plus 86K from HepsiEmlak
Land for sale across Turkey from Sahibinden and HepsiEmlak for a land investor: 226,000 plots in the first file and 86,200 HepsiEmlak rows.
AirDNA Scraper for Public Short-Term Rental Market Data
AirDNA publishes free market pages with occupancy, ADR, RevPAR and a Market Score, refreshed monthly. Our AirDNA scraper turns those pages into one table per month.
Plans from €169 a month · Free project assessment · Reply within 1 business day
CSV · Excel · JSON · XML · FTP · SFTP · Amazon S3 · Google Cloud
airdna.cowhat you get
Typical fields for property portals
addresspriceproperty_typebedroomsarea_m2agentlisted_at
Delivery
API, JSON feed or CSV, XLSX and JSON files
ScheduleOne-time, monthly, weekly, daily or 3 times a day
How We Scrape AirDNA Market Pages
- You send
AirDNA pages, filters, fields and a schedule
- We run the scrapers
Built, monitored and repaired by our team
- You receive the data
API, JSON feed or CSV, XLSX and JSON files
You pick the countries, states or individual markets, and we map them to AirDNA's public market pages, collect every headline figure and subscore, and repeat the run after each monthly refresh. Rendering, CAPTCHA handling, pacing and proxy rotation stay with us, and so does repairing the crawler when AirDNA changes a page.
What we collect stops where the AirDNA app starts. Neighbourhood figures, comp sets, Rentalizer reports and the for-sale search live there, behind an account, and we do not offer them. When a project needs property-level numbers, we collect the underlying listings from Airbnb and Vrbo directly - nightly rates, calendar availability, bedrooms, ratings and review counts - so you can run the same kind of analysis on your own terms.
AirDNA Market Data: Fields on Every Market Page
Each market page has a path made of the country code, the state or region and the market name - /vacation-rental-data/app/us/florida/orlando/overview is one - and states its own Updated date and the month of data behind it. We key rows on that path plus the coverage month, so a market's figures line up from one refresh to the next.
- Market identitymarket name, state or region, country, page URL, Updated date and coverage month.
- Headline metricsactive listings, annual revenue of a typical listing, occupancy rate, average daily rate (ADR) and RevPAR, all measured over the trailing twelve months.
- Year-over-year changethe percentage change in revenue, occupancy, ADR, RevPAR and active listings given in the market summary.
- Market ScoreAirDNA's grade from 40 to 100 and its five subscores: rental demand, revenue growth, seasonality, regulation and investability.
- Listing mixhow active listings split by rental type, rental size, channel and annual availability.
- Seasonalityannual occupancy and the seasonality score out of 100.
- Contextthe other markets AirDNA links from the same state and the breadcrumb from country to market.
Country and state hub pages add the number of markets and regions per country and the list of market pages inside each, which is how a complete crawl is planned. Abbreviated amounts are expanded to full numbers with their currency, and the field documentation repeats AirDNA's own definition of every metric, so occupancy means booked nights over available nights in every row.
Rankings, Property Managers and Monthly History
Market pages are the core, but AirDNA publishes several public rankings that belong in the same dataset. The Best Property Managers list ranks US companies operating 100 or more active listings by aggregate guest review score across Airbnb, Vrbo and Booking.com, with each company's primary market, states, listing count and review count. The Best Places to Invest report scores markets on demand, revenue growth and investability, then breaks results out by purchase budget and by demand driver - beaches, ski resorts, national parks, universities, wineries - ranked by yield. The home page adds a Trending markets board with rank, score, RevPAR change, listings, supply change and a Hotness figure.
Because each market page reflects a trailing window and refreshes monthly, one crawl is a snapshot. Monthly runs build the history the free pages do not keep: how a market's occupancy, ADR and Market Score moved across a year of refreshes. Pair that series with listing-level Airbnb and Vrbo data and you can see which property types drive the change.
About AirDNA and Its Free Market Pages
- Source
- airdna.co
- Category
- property portals
- Delivery
- API, JSON feed, CSV, XLSX
- Plans
- From €169 a month
AirDNA is a short-term rental analytics company headquartered in Denver, Colorado, with a European office in Barcelona; its team has tracked the market since 2015. Its products are aimed at hosts, investors, property managers, lenders, hotels and tourism boards, and alongside its app it runs a public site of market data that anyone can read without an account.
That public site is organised by country, then by state or region, then by market. Each market page summarises a trailing twelve-month window: how many homes were active on Airbnb, Vrbo and Booking.com, what a typical one earned, how often it was booked and at what nightly rate. AirDNA counts a home listed on several channels once, and it explains on the page how each metric is calculated.
The free layer stops at market level. Neighbourhood data, individual listing performance, Rentalizer address reports and comp sets are app features. Besides English, the main site has German, Spanish, French, Italian, Dutch and Brazilian Portuguese versions, and its research - the Outlook Report and the monthly US and EU market reviews - is published beside the market pages.
25Developers
500+Customers
1.5BPages extracted
15,000+Hours saved for our clients
AirDNA scraping plans and pricing
Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan detailsUses for AirDNA Occupancy, ADR and RevPAR Figures
Market-level numbers answer where-to-look questions; they rarely settle a single deal on their own.
- Market screening for investorsRank every market in a state by RevPAR, occupancy and Market Score, then filter on the investability and regulation subscores before opening a single listing.
- Tourism reportingDestination teams follow active listings and occupancy month by month next to hotel figures and event calendars.
- Lending and valuationAnnual revenue and ADR for a market give a reference point for an applicant's projected short-term rental income.
- Property manager prospectingThe ranked manager list, with listing counts, review counts and review score, shows which operators run large portfolios, how guests rate them and in which states they work.
- Supply monitoringYear-over-year change in active listings flags markets where new supply outruns demand - visible when listings rise faster than occupancy.
When the question narrows to one street or one property type, the work continues on listing data we collect from Airbnb and Vrbo for the same markets.
Related case studies
Apartments.com Data: Unit Prices for 3,000 Buildings Every Day
A daily apartments.com feed for a US apartment locator: about 3,000 buildings from the client's own list, down to each unit's rent and floor plan.
Housing.com Data: 315K Project Pages with Photos and Floor Plans
A one-time Housing.com collection for a real-estate company in India: project cards plus every photo and floor plan, uploaded straight to its cloud drive.
From our blog
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Real estate teams work in a fragmented data landscape. The sites that drive demand in Boston look nothing like the ones that matter in Berlin, São Paulo, Dubai, or Mumbai.
7 Real Estate Websites to Scrape in 2026: Plus 2 Hidden Gems
Real estate teams are operating in a data environment that is bigger, faster, and more fragmented than ever. Listings go live and disappear in hours, price cuts happen quietly, and the portals that matter most in each country are rarely the same global “top 5.”
Benefits of Web Scraping for Real Estate: 6 Use Cases From Our Projects
Six jobs that scraped property data does, each backed by a ScrapeIt project: seller leads, listing monitoring, image datasets, weekly market supply, sold records and unit-level rentals. For every use case - the fields it needs and how often to refresh them.
About ScrapeIt
ScrapeIt collects data from travel and property platforms for analysts who need it inside their own systems rather than in someone else's dashboard. For AirDNA that means a market table you own, refreshed monthly, with definitions attached; for deeper work it means Airbnb and Vrbo listings collected directly. Host names and reviewer details stay out by default, personal data is handled under GDPR, and delivery goes to Amazon S3, Google Cloud Storage, a JSON feed or your database.
FAQ
Still unsure? Write to info@scrapeit.io
Do you offer an AirDNA API for market data?
Yes. The ScrapeIt AirDNA API returns each market's active listings, annual revenue, occupancy, ADR, RevPAR and Market Score as JSON via an endpoint we run, refreshed after each monthly update or on any schedule you set. The same table is available as CSV or XLSX files, or as a direct load into your database.
Is it legal to scrape AirDNA?
Yes. The market pages, country and state hubs and rankings we collect are published for anyone to read, with no account needed. We take only publicly available data - the figures AirDNA shows every visitor - and we take it legally.
Which AirDNA data is free to collect without an account?
Market-level figures: active listings, annual revenue, occupancy, ADR, RevPAR, the Market Score with its five subscores, year-over-year changes and the listing mix for every market AirDNA publishes, plus country and state hubs and the public rankings. Neighbourhood data, listing-level performance and Rentalizer reports belong to the AirDNA app, and we leave them out.
Where does AirDNA get its data, and can you collect the same sources?
AirDNA says it tracks listings on Airbnb, Vrbo and Booking.com, supplemented by partner properties from property management systems, channel managers and direct host integrations. We go to the first two directly: Airbnb and Vrbo listings with nightly prices, availability calendars, bedrooms, ratings and review counts, collected for exactly the markets you name.
How often is AirDNA market data updated?
AirDNA refreshes its market pages monthly, and every headline metric covers the trailing twelve months, so figures shift gradually rather than overnight. We schedule the crawl just after the refresh, stamp each row with the Updated date and coverage month, and keep earlier months, so you get a time series instead of an overwritten table.
How it works
- 1
Make a request
You share your needs, expectations, and desired timeframe. We'll suggest the best solution based on your request and budget.
- 2
We configure the crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
- 3
Collect and deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
- 4
Maintain and support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
Request a quote
Tell us which sites, which fields and how often. A couple of lines is enough to start.
- We reply within 1 business day
- A sample dataset before the full run
- We sign an NDA on request
- Delivery by API, JSON feed or files