You name the searches that matter - a province, a shortlist of barrios, a rental band, one agency profile - and we build the crawlers for idealista.com, idealista.it and idealista.pt. Because one Idealista search only pages so far, we cut a large province into barrio, price band and tipologia queries so the whole set is covered rather than the first pages of it. We run them hourly, daily or weekly, map habitaciones, numero di locali and T-tipologia into one schema, keep superficie construida and superficie util in separate columns, deduplicate the same flat advertised by several agencies, and repair the extraction when Idealista changes its markup. Output comes back as CSV, JSON, XLSX, a direct load into your database, or an API.
A standard Idealista extraction returns, per advert:
Repeat crawling produces the columns Idealista never prints on the advert:
Tell us which of these you want and they arrive as columns in the same file, not as a separate analysis project.
Idealista is the leading property portal in Spain and one of the largest in Italy and Portugal. It runs as separate national sites under one brand - idealista.com in Spain, idealista.it in Italy and idealista.pt in Portugal - and every price on all of them is quoted in euros.
The catalogue goes well past flats for sale. Idealista carries venta and alquiler, habitaciones (single rooms in shared flats), obra nueva promotions sold off plan, and then garages, trasteros, locales, oficinas, naves, land and traspasos. Listings are written in the language of their market: Spanish on the .com domain, Italian on .it, Portuguese on .pt. The interface is translated, the free-text description is not.
Every advert is stamped with the type of seller behind it - a profesional agency with its own branded profile and reference codes, or a particular selling privately. That flag decides what the rest of the record can carry. A profesional advert brings an agency name, an agency reference code and a profile URL that ties the flat to the rest of that agency stock; a particular advert has none of those, so the same property has to be recognised from superficie, planta and photos instead.
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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
Asking prices in Spain, Italy and Portugal are set in public on Idealista, which makes it the reference series for anyone pricing property in those markets.
Valuation teams train and back-test models on price per square metre by barrio, tipologia and condition, and have to decide advert by advert whether the metre count on the page is superficie construida or superficie util. Agencies watch which competitor took which mandate, how long stock sits and who cuts first. Investors screen for yield by pairing venta asking prices with alquiler asking prices in the same distrito, and use the habitaciones section to model room-by-room letting in Madrid, Barcelona, Milan and Lisbon. Developers benchmark obra nueva promotions against the resale stock a few streets away. Appraisers check their own valuations against comparable adverts with the same certificado energetico letter and year built.
One snapshot does none of that. Idealista prints the price it is asking today and an actualizado date; it does not print what the flat was asking in March, how long it has really been on the portal, or that the same property is also running under a second listing id from a second agency. Those only appear if the same adverts are crawled again and again until they disappear.
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Learn MoreLearn how to use web scraping to solve data problems for your organization
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.”
Real estate web scraping: a powerful tool for data collection and analysis. Learn how to choose the right data collection method and benefit from real estate web scraping
ScrapeIt is a fully managed web scraping service. You name the target sites and the fields you need; we build the crawlers, run them, maintain them when the target changes, and deliver structured data on your schedule. You run no infrastructure and write no code.
We collect public data only, hold a GDPR and CCPA posture, sign confidentiality agreements, and respect trademarks and site names. Plans start from EUR 199. Idealista is a trademark of its owner and we are not affiliated with it.
idealista.com in Spain, idealista.it in Italy and idealista.pt in Portugal - venta, alquiler, habitaciones and obra nueva, delivered in one schema.
Only what Idealista publishes openly on the advert, such as agency name, agency reference code and profile URL. No logins, no paywalls, no private personal data.
Everything lands in one schema. Portuguese T-tipologia, Italian numero di locali and Spanish habitaciones are mapped onto the same columns, gastos de comunidad and spese condominiali onto one recurring cost field, and the original description is kept as written.
Yes. Search results render dynamically, rate limits are tight, and one search only pages so far, so a province has to be sliced by barrio, price band and tipologia. We absorb that and rebuild the crawler when the layout moves.
CSV, JSON, XLSX, straight into your database or via API. Plans start from EUR 199 and include ongoing maintenance of the crawlers.
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.
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
REGON: 523384582
