Imoradar24 folds the ads of several Romanian portals into unique properties and shows each one with its sources and price history. Our Imoradar24 scraper delivers that view as data.
Plans from €169/month · Free project assessment · Reply within 1 business day
You describe the slice of the market in Romania that you need - counties or cities, sale or rent, apartments, houses, land or commercial space, all sellers or owner listings only - and the rest is our job. ScrapeIt works as a managed service: our team develops the Imoradar24 crawlers, runs them one-off or on a schedule of your choosing, and fixes them whenever the site changes.
Result lists come thirty cards to a page and a large city runs to hundreds of pages, so each run is split by location and category to stay complete. Request pacing, proxy rotation and page rendering are handled on our side. We begin with a free assessment of the project, you can order a sample first, and the delivery includes documentation that ties every Romanian label to a column. Plans start from EUR 169 a month, or EUR 199 for a one-time extract.
Imoradar24 does not show an ad; it shows a property, with the ads that describe it attached. Our Imoradar24 scraper keeps that shape: one row per unique property, keyed on the site's numeric property id, with its sellers and sources nested underneath.
Cards on result pages already carry most of these fields. A property advertised on Imoradar24 itself adds a full page with specifications, a map and its surroundings.
Three things on the site go further than a single portal does.
Result pages contribute a layer of their own: the number of ads, of unique properties and of owner listings for the search and, on some searches, a short market summary with the average price and typical size. A private advertiser's name and phone number count as personal data, which we leave out by default; agency names stay, because an agency is a business.
Imoradar24 is a Romanian property search site that presents itself as the site with all the property ads in Romania. It does not depend on its own advertisers alone: it scans ads published across the web, groups those that describe the same home into one unique property and removes the duplicates. The home page keeps three running counters - ads scanned, unique properties and owners. The site is part of Imobiliare.ro, in the portfolio of the Ringier group.
The catalogue has two halves, De vânzare and De închiriat, and a short category tree: apartments with studios and penthouses, houses with detached houses and duplexes, land for construction or agriculture, commercial space and offices. Location runs from counties through cities to neighbourhoods - in Bucharest, sectors and neighbourhoods - and every level is part of the page address. One more path segment narrows a search to owner listings, and proximity pages gather properties around a landmark or a residential complex.
Each card says where its ad lives. Many link out to the source portal - Imobiliare.ro, OLX, Publi24, LaJumate - while properties posted on Imoradar24 itself open a full page. That mix is the reason to collect it: one crawl reads a market that otherwise sits on several sites.
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Developers
Customers worldwide
Pages extracted
Hours saved for our clients
€199 / one-time
setup fee - included
€169 / mo
setup fee €499
€229 / mo
setup fee €499
€349 / mo
setup fee €499
€549 / mo
setup fee €799
Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan details →Romanian property ads are heavily duplicated: one flat is posted by its owner and by several agencies, often at different prices. Imoradar24 has already done the matching, and that changes what the data is good for.
The end product is a comparables table in euro per square metre of usable area, neighbourhood by neighbourhood.
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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.
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.”
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.
ScrapeIt is a web scraping agency that does the whole job for the client: design of the crawlers, daily operation, repairs and delivery of the dataset, with nothing for you to install or maintain. An aggregator like Imoradar24 needs a different schema from an ordinary portal - a property with several ads beneath it, each from another source - and we model it that way instead of flattening it. We never log in and never go behind a paywall: the time-on-market figure the site shows only after sign-in is not in the dataset, but each ad's posted and updated dates are. GDPR governs how we handle personal data.
Yes. The ScrapeIt Imoradar24 API serves property id, price, usable area, year built, seller type, source portal and price history in JSON; the endpoint is hosted by us and updated daily, weekly or on demand. If you would rather have files, the same tables arrive as CSV or Excel, or load directly into your database.
Yes. Result pages, property pages, seller lists and price history charts are shown to anyone who opens Imoradar24, no sign-in needed. We collect only publicly available data - what any visitor to the site sees on those pages - and we collect it legally. Agencies are named in the dataset; private advertisers are not.
No, and the dataset says so row by row. A property advertised on Imoradar24 itself has a page with specifications, a map and points of interest. A property found on another portal is shown as a card with price, size, floor, year, seller type and a link to the original ad, so those rows carry the card fields and the source address.
As far as the site's own chart for that property: dated points with the lowest and highest asking price among its ads. Not every property has a chart. From your first run onward we add our own observations, daily or weekly, so the series continues at the resolution you need.
One table of unique properties and two child tables - sellers with their sources, and price points - joined on the property id. Files come as CSV, Excel or JSON to SFTP, Amazon S3, Google Drive or e-mail, or as a load into your database. A national run can be split by county or by sale and rent.
Step 1 - Make a Request
You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.
Step 2 - Configuring Custom Web Crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Step 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.
Step 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.
Imoradar24 data from €169/month. Free project assessment, reply within 1 business day.
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
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