# Finn.no Real Estate Scraper (`rigelbytes/finn-no-scraper`) Actor

Scrape Norwegian real-estate listings from Finn.no with search URL or filter-based discovery, optional full details and broker contact info.

- **URL**: https://apify.com/rigelbytes/finn-no-scraper.md
- **Developed by:** [Rigel Bytes](https://apify.com/rigelbytes) (community)
- **Categories:** Real estate, Integrations, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.70 / 1,000 listings

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md).

If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).


# README

## Finn.no Real Estate Scraper

Extract thousands of Norwegian property listings from Finn.no to power market research, investment analysis, portfolio monitoring, and automated alerts — for just **$1 per 1,000 listings** (detailed results & broker info at $2/1,000).

---

### What can Finn.no Real Estate Scraper do for you?

- 🏠 **Build a complete property database** — Scrape every listing matching your criteria across all Norwegian counties
- 📊 **Track price trends over time** — Schedule daily runs to monitor asking prices, total costs, and shared expenses
- 🔍 **Filter with precision** — Use Finn.no's native filters (location, price, bedrooms, energy label, property type, ownership, facilities) or paste any search URL
- 🏘️ **Get broker & seller contacts** — Optionally extract phone numbers and emails for direct outreach
- 📸 **Download all property images** — Retrieve full-resolution photos, floor plans, and map images
- 📍 **Geo-enrich listings** — Latitude/longitude, postal codes, cadastral references, and static map URLs included

---

### What data can you extract?

| Field | Description |
|-------|-------------|
| 🖼️ **Image** | Main listing photo + all gallery images |
| 🏷️ **Title** | Listing headline (e.g. "Enebolig med 3 soverom") |
| 🔗 **URL** | Direct link to the Finn.no ad |
| 📍 **Location** | Address, neighborhood, municipality, coordinates |
| 💰 **Asking price** | Prisantydning in NOK |
| 💰 **Total price** | Prisantydning + felleskostnader |
| 💰 **Shared cost/mo** | Fellesutgifter per month |
| 📐 **Living area** | Bruksareal (m²) |
| 🛏️ **Bedrooms** | Number of bedrooms |
| 🚪 **Rooms** | Total rooms |
| 🏘️ **Property type** | Enebolig, Leilighet, Rekkehus, Tomt, etc. |
| 📜 **Ownership type** | Selveier, Andel, Aksje, Obligasjon |
| 🏗️ **Construction year** | Byggeår |
| ⚡ **Energy label** | A–G energikarakter |
| 🏢 **Broker/agency** | Meglerfirma navn & logo |
| 📅 **Published date** | When the listing went live |
| 🆔 **Finn code** | Unique ad identifier |
| 📝 **Full description** | All description sections (when `scrapeDetails=true`) |
| 🏠 **Street address** | Exact street, postal code, city |
| 🖼️ **All images** | Full array of image URLs |
| 🏷️ **Facilities** | Balkong, Heis, Garasje, Utsikt, EV-lading, etc. |
| 👁️ **Viewings** | Scheduled showing times with iCal links |
| 📞 **Broker contacts** | Name, phone, email (when `includeContactInfo=true`) |
| 📐 **Plot area** | Tomtareal (m²) |
| 💰 **Collective debt** | Fellesgjeld for housing cooperatives |
| 🏷️ **Source** | "list" or "detail" extraction mode |

---

### Why use this scraper?

- 📈 **Market research** — Analyze price per m² trends across municipalities
- 🏘️ **Portfolio monitoring** — Track new listings matching your investment criteria
- 🤖 **Automated alerts** — Feed scraped data into your CRM or notification system
- 📊 **Valuation models** — Train ML models on historical Finnish real estate data
- 🏢 **Broker intelligence** — Identify active agents, their inventory, and contact details
- ⚡ **Save weeks of manual work** — What takes hours manually runs in minutes on Apify

---

### Pricing

- **$1/1,000 listings** (Detailed Result: $2/1,000, Broker Info: $2/1,000)
- No hidden fees or limits on usage.
- Apify plan discounts apply: **Bronze** $0.90/1,000 · **Silver** $0.80/1,000 · **Gold** $0.70/1,000 (detailed/broker: $1.70/$1.50/$1.30)

---

### How to use Finn.no Real Estate Scraper

1. **Create a free Apify account** — [Sign up](https://console.apify.com/signup) (no credit card required)
2. **Open the actor** — Go to [apify.com/rigelbytes/finn-no-scraper](https://apify.com/rigelbytes/finn-no-scraper)
3. **Set your search criteria** — Paste a Finn.no search URL *or* use the visual filters (location, price, bedrooms, property type, etc.)
4. **Choose detail level** — Enable "Fetch Full Listing Details" for descriptions, images, facilities; enable "Include Broker/Seller Contact" for phone/email
5. **Start the run** — Click **Start** and wait for results
6. **Download your data** — Export as JSON, CSV, Excel, or access via API

---

### Input

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `startUrls` | Array[Object] | No | Preferred input. Finn.no search URLs with filters pre-applied |
| `searchQuery` | String | No | Free-text search (q parameter) |
| `publishedToday` | Boolean | No | Only listings published today |
| `locations` | Array[String] | No | Counties (Oslo, Nordland, Innlandet, etc.) or Finn codes |
| `saleStatus` | Array[String] | No | for_sale, sold_last_3_days, coming_for_sale |
| `propertyCondition` | String | No | Any, used, new |
| `priceFrom` / `priceTo` | Integer | No | Asking price range (NOK) |
| `totalPriceFrom` / `totalPriceTo` | Integer | No | Total price range (NOK) |
| `sharedCostFrom` / `sharedCostTo` | Integer | No | Shared cost/month range (NOK) |
| `areaFrom` / `areaTo` | Integer | No | Living area range (m²) |
| `minBedrooms` | Integer | No | Minimum bedrooms (1–5) |
| `constructionYearFrom` / `constructionYearTo` | Integer | No | Year built range |
| `plotAreaFrom` / `plotAreaTo` | Integer | No | Plot size range (m²) |
| `propertyTypes` | Array[String] | No | apartment, detached, townhouse, semi_detached, farm, garage, industrial, plot, multi_family, other |
| `ownershipTypes` | Array[String] | No | stock, share, bond, freeholder, other |
| `sellerTypes` | Array[String] | No | broker, private |
| `facilities` | Array[String] | No | balcony, fireplace, elevator, no_neighbors, modern, airconditioning, beachfront, hiking, garage, laundry, alarm, broadband, caretaker, view, ev_charging |
| `energyLabels` | Array[String] | No | A, B, C, D, E, F, G |
| `floors` | Array[String] | No | NOTFIRST, 1–6, BIG (above 6th) |
| `videoTypes` | Array[String] | No | Video, 360 viewing |
| `scrapeDetails` | Boolean | No | Fetch full details per listing (slower, richer) |
| `includeContactInfo` | Boolean | No | Extract broker/seller phone & email |
| `maxItems` | Integer | No | Max listings to scrape (0 = unlimited, default 50) |
| `proxyConfiguration` | Object | No | Apify Proxy settings (residential recommended) |

#### 📝 Copy for Use:

```json
{
  "startUrls": [
    { "url": "https://www.finn.no/realestate/homes/search.html?location=0.20061" }
  ],
  "scrapeDetails": true,
  "includeContactInfo": true,
  "maxItems": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}
````

***

### Output

#### Sample Output (Overview view)

| Image | Title | URL | Location | Asking price | Total price | Shared cost/mo | Area m² | Bedrooms | Rooms | Type | Ownership | Built | Energy | Organisation | Published | Finn code |
|-------|-------|-----|----------|--------------|-------------|----------------|---------|----------|-------|------|-----------|-------|--------|--------------|-----------|-----------|
| 🖼️ | Enebolig med 3 soverom… | [Link](https://www.finn.no/realestate/homes/ad.html?finnkode=470675677) | Skøelvdalen 231, 9310 Sørreisa | 1,250,000 | 1,282,340 | 0 | 172 | 3 | 4 | Enebolig | Selveier | 1958 | E | EiendomsMegler 1 Finnsnes | 2026-07-24 | 470675677 |

#### Sample Output (Details view)

Additional fields: `description`, `streetAddress`, `postalCode`, `postalName`, `latitude`, `longitude`, `imageUrls[]`, `facilities[]`, `viewings[]`, `contacts[]`, `contactPhones[]`, `sellerEmails[]`, `floor`, `plotArea`, `collectiveDebt`, `source`

***

### Why Choose This Scraper?

- **Affordable**: Pay only $1 per 1,000 listings scraped (detailed results & broker info at $2/1,000)
- **Comprehensive**: Extracts 30+ fields including images, geo-data, facilities, viewings, and contacts
- **Easy to Use**: Visual filter builder or paste any Finn.no search URL — no coding required
- **Reliable**: Runs on Apify's residential proxy network; handles pagination, rate limits, and retries automatically

***

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#### Running via Apify Console

You can run this actor from the Apify Console by providing the necessary input parameters.

#### Running via API

You can trigger this actor using the Apify API, passing the required input in the request body.

***

### API Examples

#### Python

```python
from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")

run_input = {
    "startUrls": [{"url": "https://www.finn.no/realestate/homes/search.html?location=0.20061"}],
    "scrapeDetails": True,
    "includeContactInfo": True,
    "maxItems": 5,
    "proxyConfiguration": {"useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"]},
}

run = client.actor("rigelbytes/finn-no-scraper").call(run_input=run_input)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)
```

#### JavaScript (Node.js)

```javascript
const { ApifyClient } = require('apify-client');

const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });

const run = await client.actor('rigelbytes/finn-no-scraper').call({
    startUrls: [{ url: 'https://www.finn.no/realestate/homes/search.html?location=0.20061' }],
    scrapeDetails: true,
    includeContactInfo: true,
    maxItems: 5,
    proxyConfiguration: { useApifyProxy: true, apifyProxyGroups: ['RESIDENTIAL'] },
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

#### cURL

```bash
curl -X POST \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer <YOUR_API_TOKEN>" \
  -d '{
    "startUrls": [{"url": "https://www.finn.no/realestate/homes/search.html?location=0.20061"}],
    "scrapeDetails": true,
    "includeContactInfo": true,
    "maxItems": 5,
    "proxyConfiguration": {"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}
  }' \
  "https://api.apify.com/v2/acts/rigelbytes~finn-no-scraper/runs?token=<YOUR_API_TOKEN>"
```

***

### 📸 Output Preview

![Finn.no Real Estate Scraper Output](https://github.com/faizanalii/apify-images/blob/main/Finn.no%20Real%20Estate%20Scraper.gif?raw=true)

***

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- **[Realtor.com Agent Scraper](https://apify.com/rigelbytes/realtor-agent-scraper)** — Scrape real estate agents from Realtor.com by city or ZIP code. Optionally fetch full agent profiles and reviews.
- **[Realtor.com Scraper](https://apify.com/rigelbytes/realtor-scraper)** — Scrape Realtor.com property listings with full search filters via GraphQL. Supports price, beds/baths, property type, and more.
- **[Redfin Scraper](https://apify.com/rigelbytes/redfin-scraper)** — Scrape property listings and market data from Redfin for market research, price monitoring, and investment analysis.
- **[RE/MAX Germany Scraper](https://apify.com/rigelbytes/remax-scraper)** — Scrapes residential and commercial real estate listings from remax.de by German Bundesland. Extracts prices, areas, images, and agent contacts.
- **[Rent.com Scraper](https://apify.com/rigelbytes/rent-com-scraper)** — Scrape rental listings from rent.com — search by location query or URL. Extracts property details, photos, floor plans, and amenities.
- **[Rightmove Scraper](https://apify.com/rigelbytes/rightmove-scraper)** — Scrape property listings and market data from Rightmove for market research, price monitoring, and investment analysis.
- **[RVshare Scraper](https://apify.com/rigelbytes/rvshare-scraper)** — Scrape property listings and market data from RVshare for market research, price monitoring, and investment analysis.
- **[Savills Property Scraper — Extract Listings by Location](https://apify.com/rigelbytes/savills-scraper)** — Scrape residential and commercial property listings from Savills by city. Get prices, addresses, sizes, bedrooms, and agent details.
- **[Unlimited Redfin Scraper](https://apify.com/rigelbytes/unlimited-redfin-scraper)** — Scrape property listings and market data from Redfin for market research, price monitoring, and investment analysis.
- **[Wüstenrot Immobilien Scraper — German Property Listings API](https://apify.com/rigelbytes/wuestenrot-immobilien)** — Scrape property listings and market data from real estate portals for market research, price monitoring, and investment analysis.
- **[Zillow Detail Scraper](https://apify.com/rigelbytes/zillow-detail-scraper)** — Scrape property listings and market data from Zillow for market research, price monitoring, and investment analysis.
- **[Zillow Scraper](https://apify.com/rigelbytes/zillow-scraper)** — Scrape property listings and market data from Zillow for market research, price monitoring, and investment analysis.
- **[Zoopla Scraper](https://apify.com/rigelbytes/zoopla-scraper)** — Scrape property listings and market data from Zoopla for market research, price monitoring, and investment analysis.

#### ✈️ Travel & Hospitality

Monitor rentals, bookings, and travel listings at scale.

- **[Autotrader Scraper](https://apify.com/rigelbytes/autotrader-scraper)** — Scrapes car listings from Autotrader.com with advanced search filters, pagination, and detailed vehicle data.
- **[CarMax Scraper](https://apify.com/rigelbytes/carmax-scraper)** — Scrapes used car listings from CarMax.com with search URL, zip code filtering, and pagination support.
- **[Cars.com Scraper](https://apify.com/rigelbytes/cars-scraper)** — Scrapes car listings from Cars.com using their GraphQL API. Extracts detailed vehicle data including price, specs, and dealer info.
- **[Cars & Bids Scraper](https://apify.com/rigelbytes/carsandbids-scraper)** — Scrape live, upcoming, and past car auctions from Cars & Bids. Extract vehicle details, bids, photos, comments, and more.
- **[Ticketmaster Scraper](https://apify.com/rigelbytes/ticketmaster-scraper)** — Collect rental and travel listings from Ticketmaster for pricing intelligence and availability tracking.

#### 🛒 E-commerce

Scrape products, prices, and marketplace data for competitive research.

- **[Amazon Product Scraper](https://apify.com/rigelbytes/amazon-product-scraper)** — Scrape products, prices, and seller data from Amazon for competitor monitoring, pricing, and product research.
- **[Amazon Search Scraper](https://apify.com/rigelbytes/amazon-scraper)** — Scrape products, prices, and seller data from Amazon for competitor monitoring, pricing, and product research.
- **[AutoScout24 Scraper](https://apify.com/rigelbytes/autoscout24-scraper)** — Scrape car listings from AutoScout24 with full filter support. Extract makes, models, prices, mileage, seller info, and images.
- **[Daraz](https://apify.com/rigelbytes/daraz)** — Scrape products, prices, and seller data from Daraz for competitor monitoring, pricing, and product research.
- **[Etsy Scraper](https://apify.com/rigelbytes/etsy-scraper)** — Scrape products, prices, and seller data from Etsy for competitor monitoring, pricing, and product research.
- **[Homedepot Scraper](https://apify.com/rigelbytes/homedepot-scraper)** — HomeDepot Products Scraper lets you extract product data from homedepot.com using a collection URL and delivery ZIP.
- **[Kleinanzeigen Scraper](https://apify.com/rigelbytes/kleinanzeigen-scraper)** — Scrape listings from kleinanzeigen.de — search results and detail pages for any category (electronics, vehicles, real estate, and more).
- **[Otodom Scraper - Polish Real Estate Listings](https://apify.com/rigelbytes/otodom-scraper)** — Scrapes property listings from Otodom.pl, Poland's leading real estate marketplace. Supports filters for transaction type and property features.

#### 💼 Jobs & Recruitment

Collect job listings and company hiring data for market analysis.

- **[StepStone Jobs Scraper — Extract German/DACH Job Listings](https://apify.com/rigelbytes/stepstone-jobs-scraper)** — Scrape thousands of job listings from StepStone (DE, AT, BE, NL) with salary, skills, remote status & more.
- **[Upwork Jobs Scraper](https://apify.com/rigelbytes/upwork-jobs-scraper)** — Scrapes Upwork freelance job listings by keyword with full search filters (sort, experience, job type, budget, and more).
- **[ZipRecruiter Job Scraper](https://apify.com/rigelbytes/ziprecruiter-scraper)** — Scrape job listings from ZipRecruiter with search queries, locations, and radius filters. Extracts title, company, salary, and description.

#### 📩 Lead Generation

Find business contacts, leads, and company data for sales and outreach.

- **[Booli.se Scraper](https://apify.com/rigelbytes/booli-se-scraper)** — Scrapes Swedish real estate listings from Booli.se — for sale, sold prices, and new construction. Supports search and filter-based discovery.
- **[Company Service Finder](https://apify.com/rigelbytes/company-service-finder)** — The Company Service Finder uses AI to extract and analyze company services from Google Search & Maps.
- **[Doctify Scraper](https://apify.com/rigelbytes/doctify-scraper)** — Doctify Scraper lets you extract doctor and practice data from doctify.com using a search results URL.
- **[Doctolib Scraper](https://apify.com/rigelbytes/doctolib-scraper)** — Scrape doctor profiles, availability, and practice details from Doctolib.de — Germany's largest medical appointment booking platform.
- **[FindLaw Law Firm Scraper - Attorney & Law Firm Data Extraction](https://apify.com/rigelbytes/findlaw-scraper)** — Scrape law firm profiles from FindLaw.com. Extract detailed attorney and firm information including contact details.
- **[Google Maps Scraper](https://apify.com/rigelbytes/google-maps-scraper)** — Find business leads and contact details from Google Maps for outbound sales, prospecting, and CRM enrichment.
- **[Website Services Finder](https://apify.com/rigelbytes/website-services-finder)** — Automatically extract and analyze company services from any business website using advanced AI. Choose from 5 AI models.
- **[Zillow Agents](https://apify.com/rigelbytes/zillow-agents)** — Find business leads and contact details from Zillow for outbound sales, prospecting, and CRM enrichment.
- **[Zillow Agents Phone](https://apify.com/rigelbytes/zillow-agents-phone)** — Find business leads and contact details from Zillow for outbound sales, prospecting, and CRM enrichment.
- **[Zillow Agents Vault](https://apify.com/rigelbytes/zillow-agents-vault)** — Find business leads and contact details from Zillow for outbound sales, prospecting, and CRM enrichment.

#### ⭐ Reviews & Ratings

Monitor reviews and reputation data across review platforms.

- **[Airbnb Listing Reviews](https://apify.com/rigelbytes/airbnb-listing-reviews)** — Collect reviews and ratings from Airbnb for reputation monitoring and customer insights.
- **[BBB Scraper](https://apify.com/rigelbytes/bbb-scraper)** — Collect reviews and ratings from BBB for reputation monitoring and customer insights.
- **[Costco Product Scraper](https://apify.com/rigelbytes/costco-scraper)** — Scrapes product data from Costco.com including prices, descriptions, ratings, and availability.
- **[HRS Hotel Reviews Scraper](https://apify.com/rigelbytes/hrs-hotel-reviews-scraper)** — Extract hotel details, room offers, and guest reviews from HRS hotel URLs.
- **[HRS Hotel Scraper](https://apify.com/rigelbytes/hrs-scraper)** — Scrapes hotel listings, prices, ratings, and amenities from HRS (hrs.com) by location and travel dates.
- **[Rottentomatoes Reviews Scraper](https://apify.com/rigelbytes/rottentomatoes-reviews-scraper)** — Collect reviews and ratings from Rotten Tomatoes for reputation monitoring and customer insights.
- **[Trustpilot Reviews Scraper](https://apify.com/rigelbytes/trustpilot-reviews)** — Collect reviews and ratings from Trustpilot for reputation monitoring and customer insights.

#### 🍔 Food & Delivery

Extract restaurant, grocery, and delivery platform data.

- **[Instacart Scraper](https://apify.com/rigelbytes/instacart-scraper)** — Scrape menus, stores, and delivery data from Instacart for data-driven research and automation.
- **[Publix Scraper](https://apify.com/rigelbytes/publix-scraper)** — Scrape menus, stores, and delivery data from Publix for data-driven research and automation.

#### 🛠️ Developer Tools

General-purpose scraping and automation tools.

- **[EU Tenders Scraper](https://apify.com/rigelbytes/eu-tenders-scraper)** — Scrape EU public procurement notices from TED (Tenders Electronic Daily) with advanced search filters, pagination, and data export.
- **[Web Crawler](https://apify.com/rigelbytes/webcrawler)** — This web crawler is designed to provide users with complete flexibility by allowing them to use their own crawling logic.

***

### Understanding Proxies:

When scraping data or browsing anonymously, proxies are essential. They act as intermediaries, masking your original IP address and allowing you to send requests from another location.

#### Why Use Proxies?

- Avoid IP Blocks: By routing requests through proxies, you prevent the target website from recognizing your IP as a scraper or spammer.
- Access Geo-restricted Content: Proxies let you access content or websites restricted by location.
- Enhance Anonymity: Hide your actual IP, ensuring privacy while scraping or browsing.

#### Types of Proxies

1. Residential Proxies
   - Real IP addresses provided by ISPs to home users.
   - They mimic regular users, making them harder to detect.
   - Best for: Long-term, undetectable scraping, and avoiding blocks.
2. Data Center Proxies
   - IP addresses from servers in data centers.
   - Faster and cheaper than residential proxies but easier to detect and block.
   - Best for: High-speed scraping, but with a higher risk of detection.
3. Mobile Proxies
   - IPs provided by mobile carriers (3G/4G/5G networks).
   - Very difficult to detect, as they appear as regular mobile users.
   - Best for: Mobile-related scraping or avoiding sophisticated blocks.

#### Rotating Proxies vs. Straight Proxies

- Rotating Proxies: Every request you send goes through a different proxy, making it harder for websites to detect patterns.
- Straight Proxies: All requests are sent through the same proxy, making it easier to track your IP.

***

### About Rigel Bytes

Rigel Bytes specializes in web scraping, automation, and data analytics. We help businesses extract and leverage valuable data for informed decision-making.

***

### Contact Us

Ready to unlock the power of data? Reach out to us at (contact@rigelbytes.com) or [book an appointment](https://cal.com/faizanali/appointments) with us to learn more about how we can help you achieve your data goals.

***

### Detailed Data

```json
[
  {
    "id": "470675677",
    "url": "https://www.finn.no/realestate/homes/ad.html?finnkode=470675677",
    "title": "Enebolig med 3 soverom | Balkong, terrasse og garasje | Ligger landlig til i Skøelvdalen",
    "location": "Skøelvdalen 231, 9310 Sørreisa",
    "priceSuggestion": 1250000,
    "priceTotal": 1282340,
    "priceSharedCost": 0,
    "areaUsable": 172,
    "bedrooms": 3,
    "rooms": 4,
    "propertyType": "Enebolig",
    "ownershipType": "Selveier",
    "constructionYear": 1958,
    "energyLabel": "E",
    "organisationName": "EiendomsMegler 1 Finnsnes",
    "publishedAt": "2026-07-24T17:42:00+00:00",
    "imageUrl": "https://images.finncdn.no/dynamic/default/2026/7/vertical-2/24/7/470/675/677_8685aebe-5ba0-4089-aa60-1321d855748a.jpg",
    "latitude": 69.11598185054471,
    "longitude": 18.018504483094624,
    "source": "detail"
  },
  {
    "id": "470534294",
    "url": "https://www.finn.no/realestate/homes/ad.html?finnkode=470534294",
    "title": "Koselig eiendom med utsikt mot fjorden | Stor terrasse og naturskjønne omgivelser",
    "location": "Labergshaugen 17, 9350 Sjøvegan",
    "priceSuggestion": 850000,
    "priceTotal": 872340,
    "priceSharedCost": 0,
    "areaUsable": 45,
    "bedrooms": 1,
    "rooms": 2,
    "propertyType": "Enebolig",
    "ownershipType": "Selveier",
    "constructionYear": 1996,
    "energyLabel": "D",
    "organisationName": "EiendomsMegler 1 Finnsnes",
    "publishedAt": "2026-07-24T17:25:19+00:00",
    "imageUrl": "https://images.finncdn.no/dynamic/default/2026/7/vertical-2/22/4/470/534/294_541649e9-1529-4254-8033-c850366a98e3.jpg",
    "latitude": 68.86034948568887,
    "longitude": 17.81477817989547,
    "source": "detail"
  }
]
```

# Actor input Schema

## `startUrls` (type: `array`):

Preferred input. Finn.no real-estate search page URLs (search.html with any filters already applied), e.g. https://www.finn.no/realestate/homes/search.html?location=0.20061\&property\_type=3. When provided, these take priority over structured filters below.

## `searchQuery` (type: `string`):

Free-text search in Finn Eiendom (q). Used when building a search from filters (or ignored when startUrls already encode the query).

## `publishedToday` (type: `boolean`):

Only listings published today (published=1 / Nye i dag).

## `locations` (type: `array`):

Norwegian counties or Finn location codes. Names (Oslo, Nordland, Innlandet, Finnmark, …) are mapped to Finn codes; you can also paste codes such as 0.20061.

## `saleStatus` (type: `array`):

Salgsstatus: for sale, sold last 3 days, or coming for sale.

## `propertyCondition` (type: `string`):

Tilstand: used housing or new construction.

## `priceFrom` (type: `integer`):

Minimum asking price in NOK (price\_from).

## `priceTo` (type: `integer`):

Maximum asking price in NOK (price\_to).

## `totalPriceFrom` (type: `integer`):

Minimum total price in NOK (price\_collective\_from).

## `totalPriceTo` (type: `integer`):

Maximum total price in NOK (price\_collective\_to).

## `sharedCostFrom` (type: `integer`):

Minimum common expenses per month in NOK (rent\_from / fellesutgifter).

## `sharedCostTo` (type: `integer`):

Maximum common expenses per month in NOK (rent\_to).

## `areaFrom` (type: `integer`):

Minimum living area in square meters (area\_from).

## `areaTo` (type: `integer`):

Maximum living area in square meters (area\_to).

## `minBedrooms` (type: `integer`):

Minimum number of bedrooms (1–5 maps to Finn min\_bedrooms).

## `constructionYearFrom` (type: `integer`):

Earliest construction year (construction\_year\_from).

## `constructionYearTo` (type: `integer`):

Latest construction year (construction\_year\_to).

## `plotAreaFrom` (type: `integer`):

Minimum plot / tomt size (plot\_area\_from).

## `plotAreaTo` (type: `integer`):

Maximum plot / tomt size (plot\_area\_to).

## `propertyTypes` (type: `array`):

Boligtype filters (apartment, detached, townhouse, semi-detached, farm, etc.).

## `ownershipTypes` (type: `array`):

Eierform: stock, share, bond, freeholder, other.

## `sellerTypes` (type: `array`):

Privat/Megler filter.

## `facilities` (type: `array`):

Fasiliteter such as balcony, elevator, garage, view, EV charging, etc.

## `energyLabels` (type: `array`):

Energikarakter A–G.

## `floors` (type: `array`):

Etasje filter values: NOTFIRST, 1–6, or BIG (over 6th floor).

## `videoTypes` (type: `array`):

Digitale visninger: video and/or 360°.

## `scrapeDetails` (type: `boolean`):

When enabled, opens each listing and extracts full details (description, all images, facilities, viewings, cadastre, etc.). Slower but much richer output.

## `includeContactInfo` (type: `boolean`):

When enabled, extracts agent/broker or private seller contact information (phone, email). Performs a detail page fetch per listing.

## `maxItems` (type: `integer`):

Maximum number of listings to scrape (0 = unlimited).

## `proxyConfiguration` (type: `object`):

Apify proxy settings. Residential proxies are recommended for Finn.no.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.finn.no/realestate/homes/search.html?location=0.20061"
    }
  ],
  "publishedToday": false,
  "propertyCondition": "",
  "scrapeDetails": false,
  "includeContactInfo": false,
  "maxItems": 50,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `results` (type: `string`):

Dataset containing scraped Finn.no real-estate listings

## `runStats` (type: `string`):

Key-value store record with recordsScraped and run timestamps

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "startUrls": [
        {
            "url": "https://www.finn.no/realestate/homes/search.html?location=0.20061"
        }
    ],
    "searchQuery": "",
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("rigelbytes/finn-no-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "startUrls": [{ "url": "https://www.finn.no/realestate/homes/search.html?location=0.20061" }],
    "searchQuery": "",
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("rigelbytes/finn-no-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "startUrls": [
    {
      "url": "https://www.finn.no/realestate/homes/search.html?location=0.20061"
    }
  ],
  "searchQuery": "",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call rigelbytes/finn-no-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=rigelbytes/finn-no-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Finn.no Real Estate Scraper",
        "description": "Scrape Norwegian real-estate listings from Finn.no with search URL or filter-based discovery, optional full details and broker contact info.",
        "version": "1.0",
        "x-build-id": "cmLbFUVG91i8SRoOS"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/rigelbytes~finn-no-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-rigelbytes-finn-no-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/rigelbytes~finn-no-scraper/runs": {
            "post": {
                "operationId": "runs-sync-rigelbytes-finn-no-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/rigelbytes~finn-no-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-rigelbytes-finn-no-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "properties": {
                    "startUrls": {
                        "title": "Search URLs",
                        "type": "array",
                        "description": "Preferred input. Finn.no real-estate search page URLs (search.html with any filters already applied), e.g. https://www.finn.no/realestate/homes/search.html?location=0.20061&property_type=3. When provided, these take priority over structured filters below.",
                        "items": {
                            "type": "object",
                            "required": [
                                "url"
                            ],
                            "properties": {
                                "url": {
                                    "type": "string",
                                    "title": "URL of a web page",
                                    "format": "uri"
                                }
                            }
                        }
                    },
                    "searchQuery": {
                        "title": "Search Query",
                        "type": "string",
                        "description": "Free-text search in Finn Eiendom (q). Used when building a search from filters (or ignored when startUrls already encode the query)."
                    },
                    "publishedToday": {
                        "title": "New Today",
                        "type": "boolean",
                        "description": "Only listings published today (published=1 / Nye i dag).",
                        "default": false
                    },
                    "locations": {
                        "title": "Areas / Counties",
                        "uniqueItems": true,
                        "type": "array",
                        "description": "Norwegian counties or Finn location codes. Names (Oslo, Nordland, Innlandet, Finnmark, …) are mapped to Finn codes; you can also paste codes such as 0.20061.",
                        "items": {
                            "type": "string",
                            "enum": [
                                "Oslo",
                                "Akershus",
                                "Østfold",
                                "Innlandet",
                                "Buskerud",
                                "Vestfold",
                                "Telemark",
                                "Agder",
                                "Rogaland",
                                "Vestland",
                                "Møre og Romsdal",
                                "Trøndelag",
                                "Nordland",
                                "Troms",
                                "Finnmark",
                                "Svalbard"
                            ]
                        }
                    },
                    "saleStatus": {
                        "title": "Sale Status",
                        "uniqueItems": true,
                        "type": "array",
                        "description": "Salgsstatus: for sale, sold last 3 days, or coming for sale.",
                        "items": {
                            "type": "string",
                            "enum": [
                                "for_sale",
                                "sold_last_3_days",
                                "coming_for_sale"
                            ],
                            "enumTitles": [
                                "For sale (Til salgs)",
                                "Sold last 3 days (Solgt siste 3 dager)",
                                "Coming for sale (Kommer for salg)"
                            ]
                        }
                    },
                    "propertyCondition": {
                        "title": "Condition",
                        "enum": [
                            "",
                            "used",
                            "new"
                        ],
                        "type": "string",
                        "description": "Tilstand: used housing or new construction.",
                        "default": ""
                    },
                    "priceFrom": {
                        "title": "Min Price (Prisantydning)",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Minimum asking price in NOK (price_from)."
                    },
                    "priceTo": {
                        "title": "Max Price (Prisantydning)",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Maximum asking price in NOK (price_to)."
                    },
                    "totalPriceFrom": {
                        "title": "Min Total Price",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Minimum total price in NOK (price_collective_from)."
                    },
                    "totalPriceTo": {
                        "title": "Max Total Price",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Maximum total price in NOK (price_collective_to)."
                    },
                    "sharedCostFrom": {
                        "title": "Min Shared Cost / Month",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Minimum common expenses per month in NOK (rent_from / fellesutgifter)."
                    },
                    "sharedCostTo": {
                        "title": "Max Shared Cost / Month",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Maximum common expenses per month in NOK (rent_to)."
                    },
                    "areaFrom": {
                        "title": "Min Size (m²)",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Minimum living area in square meters (area_from)."
                    },
                    "areaTo": {
                        "title": "Max Size (m²)",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Maximum living area in square meters (area_to)."
                    },
                    "minBedrooms": {
                        "title": "Minimum Bedrooms",
                        "minimum": 1,
                        "maximum": 5,
                        "type": "integer",
                        "description": "Minimum number of bedrooms (1–5 maps to Finn min_bedrooms)."
                    },
                    "constructionYearFrom": {
                        "title": "Min Year of Construction",
                        "minimum": 1800,
                        "maximum": 2100,
                        "type": "integer",
                        "description": "Earliest construction year (construction_year_from)."
                    },
                    "constructionYearTo": {
                        "title": "Max Year of Construction",
                        "minimum": 1800,
                        "maximum": 2100,
                        "type": "integer",
                        "description": "Latest construction year (construction_year_to)."
                    },
                    "plotAreaFrom": {
                        "title": "Min Plot Size (m²)",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Minimum plot / tomt size (plot_area_from)."
                    },
                    "plotAreaTo": {
                        "title": "Max Plot Size (m²)",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Maximum plot / tomt size (plot_area_to)."
                    },
                    "propertyTypes": {
                        "title": "Housing Type",
                        "uniqueItems": true,
                        "type": "array",
                        "description": "Boligtype filters (apartment, detached, townhouse, semi-detached, farm, etc.).",
                        "items": {
                            "type": "string",
                            "enum": [
                                "apartment",
                                "detached",
                                "townhouse",
                                "semi-detached",
                                "farm",
                                "garage",
                                "industrial",
                                "plot",
                                "multi-family",
                                "other"
                            ],
                            "enumTitles": [
                                "Apartment (Leilighet)",
                                "Detached house (Enebolig)",
                                "Townhouse (Rekkehus)",
                                "Semi-detached (Tomannsbolig)",
                                "Farm / smallholding (Gårdsbruk/Småbruk)",
                                "Garage / parking",
                                "Production / industrial",
                                "Plot (Tomt)",
                                "Multi-family (Bygård)",
                                "Other"
                            ]
                        }
                    },
                    "ownershipTypes": {
                        "title": "Ownership",
                        "uniqueItems": true,
                        "type": "array",
                        "description": "Eierform: stock, share, bond, freeholder, other.",
                        "items": {
                            "type": "string",
                            "enum": [
                                "stock",
                                "share",
                                "bond",
                                "freeholder",
                                "other"
                            ],
                            "enumTitles": [
                                "Stock (Aksje)",
                                "Share (Andel)",
                                "Bond (Obligasjon)",
                                "Freeholder (Selveier)",
                                "Other (Annet)"
                            ]
                        }
                    },
                    "sellerTypes": {
                        "title": "Private / Broker",
                        "uniqueItems": true,
                        "type": "array",
                        "description": "Privat/Megler filter.",
                        "items": {
                            "type": "string",
                            "enum": [
                                "broker",
                                "private"
                            ],
                            "enumTitles": [
                                "Broker (Megler)",
                                "Private seller (Privat)"
                            ]
                        }
                    },
                    "facilities": {
                        "title": "Facilities",
                        "uniqueItems": true,
                        "type": "array",
                        "description": "Fasiliteter such as balcony, elevator, garage, view, EV charging, etc.",
                        "items": {
                            "type": "string",
                            "enum": [
                                "balcony",
                                "fireplace",
                                "elevator",
                                "no_neighbors",
                                "modern",
                                "airconditioning",
                                "beachfront",
                                "hiking",
                                "garage",
                                "laundry",
                                "alarm",
                                "broadband",
                                "caretaker",
                                "view",
                                "ev_charging"
                            ],
                            "enumTitles": [
                                "Balcony / terrace",
                                "Fireplace",
                                "Elevator",
                                "No neighbors opposite",
                                "Modern",
                                "Air conditioning",
                                "Beachfront",
                                "Hiking terrain",
                                "Garage / parking",
                                "Shared laundry",
                                "Alarm",
                                "Broadband",
                                "Caretaker / security",
                                "View",
                                "EV charging"
                            ]
                        }
                    },
                    "energyLabels": {
                        "title": "Energy Label",
                        "uniqueItems": true,
                        "type": "array",
                        "description": "Energikarakter A–G.",
                        "items": {
                            "type": "string",
                            "enum": [
                                "A",
                                "B",
                                "C",
                                "D",
                                "E",
                                "F",
                                "G"
                            ]
                        }
                    },
                    "floors": {
                        "title": "Floor",
                        "uniqueItems": true,
                        "type": "array",
                        "description": "Etasje filter values: NOTFIRST, 1–6, or BIG (over 6th floor).",
                        "items": {
                            "type": "string",
                            "enum": [
                                "NOTFIRST",
                                "1",
                                "2",
                                "3",
                                "4",
                                "5",
                                "6",
                                "BIG"
                            ],
                            "enumTitles": [
                                "Not 1st floor",
                                "1st floor",
                                "2nd floor",
                                "3rd floor",
                                "4th floor",
                                "5th floor",
                                "6th floor",
                                "Above 6th floor"
                            ]
                        }
                    },
                    "videoTypes": {
                        "title": "Digital Viewings",
                        "uniqueItems": true,
                        "type": "array",
                        "description": "Digitale visninger: video and/or 360°.",
                        "items": {
                            "type": "string",
                            "enum": [
                                "1",
                                "2"
                            ],
                            "enumTitles": [
                                "Video",
                                "360 viewing"
                            ]
                        }
                    },
                    "scrapeDetails": {
                        "title": "Fetch Full Listing Details",
                        "type": "boolean",
                        "description": "When enabled, opens each listing and extracts full details (description, all images, facilities, viewings, cadastre, etc.). Slower but much richer output.",
                        "default": false
                    },
                    "includeContactInfo": {
                        "title": "Include Broker / Seller Contact",
                        "type": "boolean",
                        "description": "When enabled, extracts agent/broker or private seller contact information (phone, email). Performs a detail page fetch per listing.",
                        "default": false
                    },
                    "maxItems": {
                        "title": "Max Items",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Maximum number of listings to scrape (0 = unlimited).",
                        "default": 50
                    },
                    "proxyConfiguration": {
                        "title": "Proxy Configuration",
                        "type": "object",
                        "description": "Apify proxy settings. Residential proxies are recommended for Finn.no.",
                        "default": {
                            "useApifyProxy": true,
                            "apifyProxyGroups": [
                                "RESIDENTIAL"
                            ]
                        }
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
