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.
FINN.no Scraper
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.
Plans from €169 a month · Free project assessment · Reply within 1 business day
CSV · Excel · JSON · XML · FTP · SFTP · Amazon S3 · Google Cloud
finn.nowhat 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
FINN.no Web Scraping and Our FINN.no API
- You send
Finn.no 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
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.
FINN.no Data Our Scraper Extracts
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.
FINN.no Rental Listings, Price Movement and Listing Lifecycles
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.
About FINN.no, the Backbone of Norway's Property Market
- Source
- finn.no
- Category
- property portals
- Delivery
- API, JSON feed, CSV, XLSX
- Plans
- From €169 a month
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.
25Developers
500+Customers
1.5BPages extracted
15,000+Hours saved for our clients
Finn.no scraping plans and pricing
Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan detailsWhy Scrape FINN.no Property Listings
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.
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: Structured Property Intelligence, Done for You
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.
FAQ
Still unsure? Write to info@scrapeit.io
Can you include both agent-listed and privately listed properties?
Yes. Our extractors are designed to pull listings from all sources visible on FINN.no - no matter who published them.
Is it possible to detect price fluctuations over time?
Absolutely. We can track listing updates, monitor price changes, and flag reductions to help you analyze market dynamics.
Do you offer a FINN.no API for property listings?
Yes. The ScrapeIt FINN.no API returns total price or monthly rent, address and municipality, property type, area, the advertiser - an estate agent, a developer or a private seller - and price history on repeat runs as JSON from an endpoint we host, refreshed on the schedule you set. It covers every property and rental listing FINN.no shows, whoever published it. The same data also comes as CSV or XLSX files or straight into your database.
Can I receive structured outputs split by region or city?
Yes. Whether you need data segmented by postal code, municipality, or metro area, we tailor it to your preferred structure.
What file formats are available for export?
You can choose CSV, JSON, or Excel - each formatted to support housing analytics, dashboards, or data ingestion pipelines.
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