ScrapeIt turns Norway’s leading online marketplace, FINN.no, into a source of structured property data - extracting listings, rental info, price trends, and location insights ready for direct export and analysis.
Although FINN.no is a general-purpose platform, its real estate section is one of Norway’s most comprehensive. ScrapeIt gives you structured access to this property data at scale - far beyond what casual browsing allows.
We build custom extraction flows that filter by municipality, price range, square meters, or ownership type (freehold vs cooperative). Fields in Norwegian are parsed, normalized, and translated when required. Whether you’re analyzing rental trends in Oslo or mapping coastal property sales, we deliver housing data from FINN.no in clean, ready-to-use formats like CSV, JSON, or Excel.
From urban rentals in Oslo to countryside cabins in Nordland, ScrapeIt helps you scrape FINN.no data with precision - capturing every critical detail from property listings across Norway. We extract total price or monthly rent (in NOK), property type (apartment, detached house, cabin, commercial), address and postal code, and full location hierarchy - including municipality and county.
You’ll also get area size (P-ROM and BRA), number of bedrooms, floor level, year built, and ownership type (e.g., freehold or housing cooperative). We include building condition, energy rating, heating system, whether the unit is furnished, and if common costs are listed.
Every listing comes with the original Norwegian description, contact info for the listing agent or seller, map data, and high-resolution images. The result: exportable, research-ready housing data ideal for comparison, modeling, or regional tracking.
Our FINN.no scraper uncovers embedded signals that go far beyond basic listing specs. ScrapeIt extracts visibility indicators such as highlights, traffic tags, and promotion badges - all useful for identifying properties receiving extra attention or paid boosts.
We also track dynamic changes: price drops, listing updates, and time-on-market metrics. If an open house is scheduled, the property returns to market, or it’s flagged as urgent - we capture it.
These deeper layers help analysts and real estate professionals assess listing momentum, detect competitive shifts, and understand turnover velocity in key Norwegian markets.
FINN.no is Norway’s most visited digital marketplace, and its property section is the country’s primary hub for real estate activity. Used by nearly every licensed agent and developer nationwide, the platform features listings across all categories - from residential apartments and detached homes to vacation cabins, commercial units, and raw land.
Each listing is typically enhanced with high-quality media like drone videos, 3D virtual tours, and certified energy ratings, offering prospective buyers or renters a rich, informed browsing experience. The search system supports highly localized filters - allowing users to search by municipality, zip code, school zone, and even calculate commute times.
The site also delivers live metrics such as number of views and interest level per listing, which makes it particularly valuable for real estate professionals, analysts, and relocation firms tracking regional market demand. Due to its integration with national registries and its scale, FINN.no is regularly cited in housing market reports and academic studies.
For those interested in exploring the Norwegian property landscape, the full listings can be found on the official FINN.no real estate section.
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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
FINN.no gives you access to Norway’s entire housing market - but only through a front end made for browsing, not analysis. A FINN.no scraper changes that, unlocking structured property data across all regions, property types, and price segments.
With ScrapeIt, you can track pricing trends by municipality, monitor rental availability in student zones, or compare time-on-market between detached homes and apartments. Developers use it to identify where demand is rising. Agencies use it to benchmark competitors. Investors use it to target undervalued listings with high engagement.
The data’s there - just not in a format you can work with. We fix that.
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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.”
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 specializes in custom data extraction for real estate platforms - and FINN.no is no exception. If you're looking to scrape FINN.no data, we do the heavy lifting: no tools, no dashboards - just structured, filtered datasets tailored to your specific criteria, from city-level rental trends to high-interest property segments across Norway. You don’t need to manage scrapers or worry about regional formats. We handle the parsing, standardization, and export - all based on your goals. Whether you're building a market report, powering a property search engine, or training an AI model, ScrapeIt gives you clean, actionable data, without friction.
Yes. Our extractors are designed to pull listings from all sources visible on FINN.no - no matter who published them.
Absolutely. We can track listing updates, monitor price changes, and flag reductions to help you analyze market dynamics.
Not at all. We manage the entire scraping and processing pipeline. You get clean data - no scripts, no setup, just results.
Yes. Whether you need data segmented by postal code, municipality, or metro area, we tailor it to your preferred structure.
You can choose CSV, JSON, or Excel - each formatted to support housing analytics, dashboards, or data ingestion pipelines.
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
