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.
Aruodas Scraper for Lithuanian Property Listings
Every Aruodas ad address ends in a category code and an ad id, and many ads add the registry RC number. Our Aruodas scraper keeps both on each row, run after run.
Plans from €169 a month · Free project assessment · Reply within 1 business day
CSV · Excel · JSON · XML · FTP · SFTP · Amazon S3 · Google Cloud
aruodas.ltwhat 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
Aruodas Listings Scraper as a Managed Service
- You send
Aruodas 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 set the scope - categories, municipalities or single microdistricts, sale or rent, how often - and we build the Aruodas crawler, run it and repair it whenever the site changes. Pacing, proxy rotation and CAPTCHA handling are part of what we do, not something you arrange.
Each Lithuanian label is mapped to an English column and documented, values such as heating or building type keep the original wording with a translation beside it, and euro amounts arrive as numbers. Files go out as CSV, XLSX or JSON, to Amazon S3, Google Drive or by e-mail, once or on a daily or weekly schedule.
Aruodas Data Scraper: Fields on Every Ad
Our Aruodas data scraper reads the ad page field by field and keeps the Lithuanian label next to an English column name, so Kambarių sk. (number of rooms) or Pastato tipas (building type) never loses its meaning. The ad address ends in a category code - 1 for a flat for sale, 4 for a flat for rent, 11 for a plot - and then the ad id; together they hold a row steady between runs.
- Identityad id, category code, URL, title, and the Unikalus daikto numeris (RC number), the Registrų centras property number, when the seller fills it in.
- Locationmunicipality, microdistrict and street from the ad header, plus Namo numeris (house number) and Buto numeris (flat number) where given.
- Priceasking price in euro, price per m2 - per are for plots - monthly rent for rentals, and the price change in percent that an ad shows once its price has moved.
- Building and unitPlotas (area), rooms, Aukštas and Aukštų sk. (floor and floors in the building), Metai (year built), building type such as brick or panel, Šildymas (heating), Įrengimas (fit-out, from partial finish to fully equipped) and the building energy class, such as A++ on recent new builds.
- Plots and premisesplot size in ares, land purpose such as residential, and the purpose of premises: office, services, other.
- Ad timelineĮdėtas (posted), Redaguotas (last edited), Aktyvus iki (active until), the Įsiminė count of users who saved the ad, and Peržiūrėjo views, in total and today.
- Surroundingsdistance to the nearest kindergarten, school, shop and public transport stop as the ad states it.
- Advertiserbroker or agency, or a private seller; names of private persons are left out by default, and a phone number the ad shows openly is delivered only when the project needs it.
- Flagsthe Naujas projektas (new project) badge, an open house date, and whether the ad has a video or 3D tour.
Some ads sell only a share of a flat - Objektas: Buto dalis - and we flag them, so a partial share does not drag down a district's average price per m2.
Aruodas Price Tracker, Brokers and New Projects
One pass is a snapshot; scheduled passes are a market. Run after run, each ad id collects a price history, its saved and view counters turn into a demand curve, and the Įdėtas date plus the day the ad vanishes measure how long a property took to sell or let. An ad deleted as sold stays visible for three days with a Parduota or Išnuomota (sold, rented) marker, which lets the tracker tell a sale from a withdrawal when a run catches that window.
- NT specialistaithe broker catalogue: role, the Tapatybė patvirtinta (identity confirmed) mark, the TOP brokeris badge, active ads per category and the number of recommendations.
- Nauji projektaidevelopments with the area and price ranges of their units and the construction start and completion the project page gives.
- Linked adsAruodas shows ads it recognises as the same or a very similar property as linked, and we keep that link, so a flat listed by several brokers is not counted twice.
- Ieško NTwanted ads in which buyers and tenants describe what they are looking for - a rare view of the demand side.
About Aruodas.lt and Its Sections
- Source
- aruodas.lt
- Category
- property portals
- Delivery
- API, JSON feed, CSV, XLSX
- Plans
- From €169 a month
Aruodas.lt is a Lithuanian property classifieds portal, written in Lithuanian with English and Russian versions at en.aruodas.lt and ru.aruodas.lt. Its sections follow the object and the deal: butai (flats for sale), namai (houses), sklypai (plots), patalpos (commercial premises), garažai (garages and parking spaces), separate rental sections for flats, houses and premises, trumpalaikė nuoma (short-term rent) and Ieško NT, where buyers and tenants post requests.
Search narrows by municipality, microdistrict and street, and the addresses follow the same ladder: a street page in Vilnius lists the flats on that one street. The home page shows private adverts apart from the rest, and its cards mark new-build offers, open house days with their date, and ads with a video or 3D tour.
Around the ads sit Nauji projektai (new projects) for developments, Užsienio objektai for property abroad, a Co-living section, the NT specialistai catalogue of brokers, a price statistics tool and monthly NT rinka reports with asking price per m2 by microdistrict for Vilnius, Kaunas and Klaipeda. The footer links sister portals Skelbiu.lt, Autoplius.lt and CVbankas.lt.
25Developers
500+Customers
1.5BPages extracted
15,000+Hours saved for our clients
Aruodas scraping plans and pricing
Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan detailsWhy Scrape Aruodas Property Data
Lithuanian housing is priced street by street, and Aruodas publishes the street. That makes its ads fit for work that needs fine geography:
- Valuation and lendingasking price per m2 by microdistrict, year built, building type and energy class give banks and valuers comparables for a flat in Žirmūnai or a house in the Vilnius district.
- New-build trackingdevelopers watch competing projects - unit prices, fit-out level and how quickly the ads of a project disappear.
- Rental yieldsale and rent ads matched by microdistrict and room count show gross yield before an investor commits.
- Demand signalsviews and saved counts show which ads draw attention, often well before a price cut.
- Brokerage analysisactive ads per broker and per category show who leads which segment of the market.
- Registry matchingthe RC number joins an ad to the property records a bank or valuer already holds.
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
Learn how to use web scraping to solve data problems for your organization
Scraping Property Portals by Region: Best Real Estate Platforms That Actually Matter
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 is a managed web scraping company: we build, run and repair the crawlers, and clients receive the data. Classifieds portals with deep location ladders and local-language labels, like Aruodas, are everyday work for us - each label becomes a documented field, and the mapping holds when the site changes. Field documentation comes with every dataset, and each project starts with a free assessment and a sample. Plans start from EUR 169 a month, or EUR 199 for a one-time extract.
FAQ
Still unsure? Write to info@scrapeit.io
Do you offer an Aruodas API for listing data?
Yes. The ScrapeIt Aruodas API returns ad id, RC number, price, price per m2, rooms, floor and year built as JSON from an endpoint we host, refreshed on the schedule you set. The same rows also come as CSV or XLSX files, a JSON feed or a load into your database.
Is it legal to scrape Aruodas?
Yes. Prices, areas, building details, ad dates and view counters are shown to every visitor of Aruodas without an account. We collect only publicly available data - everything a visitor can see on Aruodas - and we collect it legally. Personal data is handled under GDPR, and private sellers' names stay out of the dataset by default.
Can an Aruodas dataset cover all of Lithuania?
Yes. Scope is set by category and location: one city, a list of municipalities or the whole country, from flats and houses to plots, garages and short-term rentals. Every row keeps municipality, microdistrict and street, so a national file still filters down to a single street.
How often should Aruodas listings be refreshed?
Weekly suits valuation work; daily suits price tracking and new-build monitoring, because edits, price changes and removals happen every day. Ads also carry an active-until date and drop out when they lapse or sell, so the gap between runs decides how precisely time on market is measured.
Do you translate the Lithuanian field values?
Yes. Column names are English, and values such as building type, heating and fit-out come in the original Lithuanian with an English translation beside them. Free-text descriptions stay in the language the advertiser wrote them in.
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