# Changelog of FINN.no Property Scraper - Norway Real Estate Data (`sian.agency/finn-no-property-scraper`) Actor

- **URL**: https://apify.com/sian.agency/finn-no-property-scraper/changelog.md
- **Full Actor documentation**: https://apify.com/sian.agency/finn-no-property-scraper.md

## Changelog

All notable changes to the FINN.no Property Scraper will be documented in this file.

### \[2026-08-30]

#### 🎉 FINN.no Property Scraper — Launch!

- **Seven Eiendom Sections In One Actor** — homes for sale, homes to rent, new builds, plots, holiday homes, holiday plots and property abroad. 87,500 live Norwegian listings, one dropdown.
- **Areas By Name, Not By Code** — type Oslo, Bergen, Trondheim or Bærum. Names are matched against FINN's own live area tree, and a raw FINN area code still works.
- **Both Norwegian Prices On Every Row** — Prisantydning and Totalpris, plus monthly felleskostnader. They are different numbers, and Norwegian buyers compare all three.
- **Rental Economics On The Lettings Section** — monthly rent, deposit and furnishing state, so a yield calculation needs no second source.
- **Full Ad Detail On Request** — the complete Norwegian description, facilities list, energy label, construction year, cadastre numbers, viewing times and the agent's phone number.
- **Paste A FINN Search URL** — build the search on finn.no with FINN's own filters, paste the address bar, and every parameter is used as-is.
- **$1.20 Per 1,000 Listings** — under every other FINN property actor on the Apify Store, with no proxy bill attached.

#### 💎 User Benefits

- Norwegian housing data lands in a spreadsheet in about a minute, with no FINN account, API key or proxy to arrange.
- Prices and areas arrive as numbers rather than strings, and FINN's "not stated" zeros are nulled so they never drag an average down.
- You are charged per listing returned. A search that matches nothing, and any ad that cannot be read, costs nothing.
- Every row carries a direct FINN link taken from the ad itself, so it still resolves after the listing moves section.

#### 🎯 Use Cases

- A property analyst computing price per square metre across Oslo's districts, weekly, at a granularity no Norwegian index publishes.
- An estate agency pulling the private sellers currently listing without representation, with address, price and phone.
- A landlord benchmarking asking rent against this month's live comparables instead of last year's report.
- A developer tracking new-build price ranges and plot cadastres to see where Norwegian supply is coming from.
- A valuer pricing a cabin on shoreline, plot and road access, which is what actually moves a hytte price.