Pricing

from $1.00 / 1,000 results

Finn.no Real Estate Scraper (Norway)

Scrape Norwegian property listings from Finn.no real-estate search by URL: address, price, total price, m2, bedrooms, ownership type, agent, photos. Export JSON/CSV/Excel.

Pricing

from $1.00 / 1,000 results

Rating

0.0

(0)

Developer

lysum

Actor stats

Bookmarked

Total users

Monthly active users

5 days ago

Last modified

🇳🇴 Finn.no Real Estate Scraper

Scrape property listings from Finn.no (Norway) by search URL — fast, reliable, and pay-per-result. Paste one or more Finn.no search-result URLs and export clean structured data as JSON, CSV, or Excel, or pull it via the Apify API.

What it does

Give it a Finn.no search URL (with whatever filters you set on the site) and it returns one row per listing with:

address
city
price (NOK)
total price
living area (m²)
bedrooms
property type
agent
image
listing URL

It handles pagination automatically, deduplicates by listing URL, and runs behind an Apify residential Norway proxy to avoid datacenter-IP blocking.

How to use it

Go to Finn.no, apply the filters you want (location, price, category, …).
Copy the resulting search-result URL.
Paste it into Search URLs, set Max listings, and click Start.

Example input

{
  "startUrls": [{ "url": "https://www.finn.no/realestate/homes/search.html?location=0.20061" }],
  "maxItems": 100
}

Output

Each item is a flat JSON object with the fields listed above, plus the source search URL and a scrape timestamp — ready for spreadsheets, databases, market analysis, or lead generation.

Notes

Energy label and full description are detail-page only. Project/plot listings legitimately omit area/bedrooms on the list page.
Keep the residential Norway proxy enabled (prefilled). A run that suddenly returns 0 items usually means IP blocking, not broken selectors.
This Actor collects only publicly available listing data. Use responsibly and in line with Finn.no's terms and applicable law.

Pricing

Pay-per-result — you're charged per listing returned. Run a small maxItems first to preview the data before scaling up.

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