# Boligsiden.dk Scraper (`rigelbytes/boligsiden-dk-scraper`) Actor Scrape Danish real estate listings from Boligsiden.dk — for sale, sold, and rental properties with pricing, details, and history. - **URL**: https://apify.com/rigelbytes/boligsiden-dk-scraper.md - **Developed by:** [Rigel Bytes](https://apify.com/rigelbytes) (community) - **Categories:** Real estate, News, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.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/platform/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 ## Boligsiden.dk Scraper Extract thousands of Danish real estate listings from Boligsiden.dk — for sale, sold, and rental properties with pricing, property details, location data, and price history — for just **$1** per 1,000 listings. --- ### What can Boligsiden.dk Scraper do for you? - **Scrape properties for sale, sold, and rentals** — Search all three sections of Boligsiden.dk (tilsalg, solgte, leje) with full filtering by property type, price, size, rooms, year built, energy label, and more. - **Enrich listings with stats and price history** — Optionally fetch detailed listing descriptions, images, municipality demographics, realtor ratings, page views, favourites, and the full price timeline for each property. - **Export structured data in any format** — Get clean JSON output that you can download as JSON, CSV, Excel, or HTML for analysis, reporting, or integration. - **Filter by 12 property types** — From villas and condos to holiday houses, farms, houseboats, and cooperative housing. - **Target by location, price, and features** — Filter by municipality, province, zip code, price range, living area, lot area, rooms, year built, days on market, open house, balcony, terrace, and elevator. - **Run at scale with residential proxies** — Supports Apify residential proxies for reliable, uninterrupted scraping. --- ### What data can you extract? | Field | Description | |-------|-------------| | 🏠 **Property Info** | Type, price, monthly expense, living area, lot area, rooms, per-area price, energy label, year built | | 📍 **Location** | Street address, zip code, city, municipality, province, coordinates | | 🏢 **Realtor** | Agency name, branch, logo, ratings, sales percentages | | 🖼️ **Media** | Property images, floor plans | | 📈 **Enriched Data** | Full description, buildings, amenities (balcony, terrace, elevator), bathrooms, toilets, floors | | 📊 **Stats** | Page views, clicks, favourites | | 💰 **Price Timeline** | Full price history with dates and event types | | 🏛️ **Municipality** | Population, schools, council tax, church tax, land value tax | --- ### Why use this scraper? - **📊 Danish property market research** — Analyze pricing trends, time on market, and price reductions across municipalities and property types for market intelligence. - **🏘️ Find investment opportunities** — Identify undervalued properties, track price drops, and monitor days on market to spot motivated sellers. - **📈 Competitive analysis for realtors** — Monitor competitor listings, pricing strategies, and sales success rates across regions. - **🤖 Automate property lead generation** — Build custom property alerts, notify clients of new listings matching their criteria, and power automated outreach. - **📋 Create custom property databases** — Build your own portal or analysis tool with structured Boligsiden.dk data, including full price history and valuation data. --- ### Pricing - **$1/1,000 listings** - No hidden fees or limits on usage. - Optional enrichment data included when enabled — pay only for what you scrape. --- ### How to use Boligsiden.dk Scraper 1. **Create a free Apify account** at [apify.com](https://apify.com) if you don't have one. 2. **Open the [Boligsiden.dk Scraper](https://apify.com/rigelbytes/boligsiden-dk-scraper)** in Apify Console. 3. **Configure your search** — choose search type (for sale, sold, or rentals), select property types, and apply filters like price range, area, rooms, or location. 4. **Enable enrichment** (optional) — toggle `enrichDetails` on to get full descriptions, images, stats, and price timeline. 5. **Start the scraper** — click "Run" and wait for your data. 6. **Download your dataset** — export results as JSON, CSV, Excel, or HTML. --- ### Input #### Search Scope - `searchType` (string, optional, default: `"tilsalg"`) — Section to scrape: `"tilsalg"` (For Sale), `"solgte"` (Sold), or `"leje"` (Rentals) - `searchQuery` (string, optional) — Location search text — city, municipality (e.g. København, Aarhus), neighborhood (e.g. Nørrebro), zip code (e.g. 2100), or street name (e.g. Strandvejen). Leave empty to search all of Denmark. - `addressTypes` (array, optional) — Property types to include (leave empty for all). Options: `villa`, `condo`, `terraced_house`, `holiday_house`, `cooperative`, `farm`, `hobby_farm`, `full_year_plot`, `villa_apartment`, `holiday_plot`, `houseboat`, `room` - `sortBy` (string, optional) — Sort field: `timeOnMarket`, `price`, `createdAt`, `soldDate`, `area`, `distance`, `random` - `sortAscending` (boolean, optional, default: `false`) — Sort ascending (low to high) #### Price & Size - `minPrice` / `maxPrice` (integer, optional) — Price range in DKK - `minArea` / `maxArea` (integer, optional) — Living area range in m² - `minLotArea` / `maxLotArea` (integer, optional) — Lot area range in m² #### Property Details - `minRooms` / `maxRooms` (integer, optional) — Room count range - `minYearBuilt` / `maxYearBuilt` (integer, optional) — Construction year range - `maxDaysOnMarket` (integer, optional) — Maximum days on market - `maxDaysSincePriceDrop` (integer, optional) — Maximum days since last price reduction - `hasOpenHouse` (boolean, optional, default: `false`) — Only properties with open house - `hasBalcony` (boolean, optional, default: `false`) — Only with balcony - `hasTerrace` (boolean, optional, default: `false`) — Only with terrace - `hasElevator` (boolean, optional, default: `false`) — Only with elevator - `registrationTypes` (array, optional) — Sold property registration type filters: `normal`, `family`, `auction`, `sole_owner`, `company`, `sold`, `new_construction` #### Advanced Settings - `maxItems` (integer, optional, default: `0`) — Maximum listings to scrape (0 = unlimited) - `maxPages` (integer, optional, default: `0`) — Maximum search result pages to scrape (0 = unlimited) - `enrichDetails` (boolean, optional, default: `false`) — Fetch full details, images, stats, and price timeline - `proxyConfiguration` (proxy object, optional, default: Apify RESIDENTIAL) — Proxy settings #### 📝 Copy for Use: ```json { "searchType": "tilsalg", "searchQuery": "København", "addressTypes": ["villa", "condo", "terraced_house"], "sortBy": "timeOnMarket", "sortAscending": false, "minPrice": 500000, "maxPrice": 10000000, "minArea": 50, "maxArea": 300, "minRooms": 2, "maxRooms": 6, "minYearBuilt": 1960, "maxYearBuilt": 2025, "maxDaysOnMarket": 365, "maxItems": 100, "maxPages": 0, "enrichDetails": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` *** ### Why Choose This Scraper? - **Affordable**: Pay only $1 per 1,000 listings scraped. - **Comprehensive**: Full coverage of for-sale, sold, and rental listings with 20+ filter parameters and optional enrichment with images, stats, and price history. - **Easy to Use**: Simple input configuration with clear defaults — run in minutes with no coding required. - **Reliable**: API-based architecture with Chrome TLS impersonation and built-in retries ensures stable data extraction at scale. *** ### Recommended Proxy Providers - ## **Shifter** - Reliable residential proxies all over the world. - Cheap rates - [Order Shifter Now](https://shifter.io/r/YoBB/order) - Get 10% Off any product, use coupan `rigelbytes-YoBB`. - ## **OxyLabs** - **100M+ Proxies** - Fastest proxies in the market - Real profile, human-like Residential IPs - Quality assurance framework for most reliable IPs - [Get Proxies](https://oxylabs.go2cloud.org/aff_c?offer_id=7\&aff_id=1366\&url_id=7) - ## **DataImpulse** - Covers **200+ Counties** - Reliable Residential Proxies for just $1/GB - [Get Residential Proxies](https://dataimpulse.com/?aff=89421) ### [![Learn More About Proxies](https://img.shields.io/badge/Learn_More-About_Proxies-blue?style=for-the-badge)](#understanding-proxies) ### 🙌 Why Buy Through Our Affiliate Link? - Exclusive Deals: Some providers may offer special discounts or bonuses when you use our link. - Support Our Work: Each purchase helps us maintain and improve the tools and services we provide. - No Extra Cost: You pay the same price, but part of it goes to supporting our efforts. #### 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 #### Python ```shell from apify_client import ApifyClient client = ApifyClient("YOUR-APIFY-TOKEN") run_input = { "searchType": "tilsalg", "searchQuery": "København", "addressTypes": ["villa", "condo", "terraced_house"], "sortBy": "timeOnMarket", "sortAscending": False, "minPrice": 500000, "maxPrice": 10000000, "minArea": 50, "maxArea": 300, "minRooms": 2, "maxRooms": 6, "maxItems": 100, "maxPages": 0, "enrichDetails": True, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"] } } run = client.actor("rigelbytes/boligsiden-dk-scraper").call(run_input=run_input) dataset = client.dataset(run["defaultDatasetId"]).list_items().items ``` #### JavaScript ```shell import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'YOUR-APIFY-TOKEN' }); const runInput = { searchType: "tilsalg", searchQuery: "København", addressTypes: ["villa", "condo", "terraced_house"], sortBy: "timeOnMarket", sortAscending: false, minPrice: 500000, maxPrice: 10000000, minArea: 50, maxArea: 300, minRooms: 2, maxRooms: 6, maxItems: 100, maxPages: 0, enrichDetails: true, proxyConfiguration: { useApifyProxy: true, apifyProxyGroups: ["RESIDENTIAL"] } }; const run = await client.actor("rigelbytes/boligsiden-dk-scraper").call(runInput); const { items } = await client.dataset(run.defaultDatasetId).listItems(); ``` #### cURL ```shell curl -X POST "https://api.apify.com/v2/acts/rigelbytes/boligsiden-dk-scraper/runs?token=YOUR-APIFY-TOKEN" \ -H "Content-Type: application/json" \ -d '{ "searchType": "tilsalg", "searchQuery": "København", "addressTypes": ["villa", "condo", "terraced_house"], "sortBy": "timeOnMarket", "sortAscending": false, "minPrice": 500000, "maxPrice": 10000000, "minArea": 50, "maxArea": 300, "minRooms": 2, "maxRooms": 6, "maxItems": 100, "maxPages": 0, "enrichDetails": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } }' ``` *** ### 🚀 Other Tools by Rigel Bytes Explore **69** more scraping tools by Rigel Bytes, organized by use case: #### 📱 Social Media Scrape Instagram, TikTok, LinkedIn, and more for content research and marketing intelligence. - **[Export Instagram Reels](https://apify.com/rigelbytes/export-instagram-reels)** — Extract posts, profiles, and engagement data from Instagram for content research, influencer tracking, and marketing analytics. - **[Facebook Ads Scraper](https://apify.com/rigelbytes/facebook-ads-scraper)** — Extract posts, profiles, and engagement data from Facebook for content research, influencer tracking, and marketing analytics. - **[Instagram Analytics Tool](https://apify.com/rigelbytes/instagram-analytics-tool)** — Extract posts, profiles, and engagement data from Instagram for content research, influencer tracking, and marketing analytics. - **[Instagram Comment Scraper](https://apify.com/rigelbytes/instagram-comment-scraper)** — Extract posts, profiles, and engagement data from Instagram for content research, influencer tracking, and marketing analytics. - **[Instagram Creator Stats](https://apify.com/rigelbytes/instagram-creator-stats)** — Extract posts, profiles, and engagement data from Instagram for content research, influencer tracking, and marketing analytics. - **[Instagram Engagement Tool](https://apify.com/rigelbytes/instagram-engagement-tool)** — Extract posts, profiles, and engagement data from Instagram for content research, influencer tracking, and marketing analytics. - **[Instagram Post Scraper](https://apify.com/rigelbytes/instagram-post-scraper)** — Extract posts, profiles, and engagement data from Instagram for content research, influencer tracking, and marketing analytics. - **[instagram-posts](https://apify.com/rigelbytes/instagram-posts)** — Extract posts, profiles, and engagement data from Instagram for content research, influencer tracking, and marketing analytics. - **[Instagram Profile Scraper](https://apify.com/rigelbytes/instagram-profile-scraper)** — Extract posts, profiles, and engagement data from Instagram for content research, influencer tracking, and marketing analytics. - **[Instagram Reel Scraper](https://apify.com/rigelbytes/instagram-reel-scraper)** — Extract posts, profiles, and engagement data from Instagram for content research, influencer tracking, and marketing analytics. - **[linkedin-company-details](https://apify.com/rigelbytes/linkedin-company-details)** — Extract posts, profiles, and engagement data from LinkedIn for content research, influencer tracking, and marketing analytics. - **[Linkedin Company Scraper](https://apify.com/rigelbytes/linkedin-company-scraper)** — Extract posts, profiles, and engagement data from LinkedIn for content research, influencer tracking, and marketing analytics. - **[LinkedIn Profile Scraper](https://apify.com/rigelbytes/linkedin-profile-scraper)** — Extract posts, profiles, and engagement data from LinkedIn for content research, influencer tracking, and marketing analytics. - **[Scrape Instagram Creators](https://apify.com/rigelbytes/scrape-instagram-creators)** — Extract posts, profiles, and engagement data from Instagram for content research, influencer tracking, and marketing analytics. - **[Tiktok Comment Scraper](https://apify.com/rigelbytes/tiktok-comment-scraper)** — Extract posts, profiles, and engagement data from TikTok for content research, influencer tracking, and marketing analytics. - **[Tiktok Creator Stats](https://apify.com/rigelbytes/tiktok-creator-stats)** — Extract posts, profiles, and engagement data from TikTok for content research, influencer tracking, and marketing analytics. - **[Tiktok Engagement Rate](https://apify.com/rigelbytes/tiktok-engagement-rate)** — Extract posts, profiles, and engagement data from TikTok for content research, influencer tracking, and marketing analytics. - **[TikTok Profile Scraper](https://apify.com/rigelbytes/tiktok-profile-scraper)** — Extract posts, profiles, and engagement data from TikTok for content research, influencer tracking, and marketing analytics. #### 🏠 Real Estate Extract property listings, prices, and agent data from top real estate platforms. - **[Airbnb Address Finder](https://apify.com/rigelbytes/airbnb-address-finder)** — Scrape property listings and market data from Airbnb for market research, price monitoring, and investment analysis. - **[Airbnb Availability Calendar](https://apify.com/rigelbytes/airbnb-availability-calendar)** — Scrape property listings and market data from Airbnb for market research, price monitoring, and investment analysis. - **[Airbnb Detailed Scraper - Search & Listing Details](https://apify.com/rigelbytes/airbnb-detailed-scraper)** — Scrape property listings and market data from Airbnb for market research, price monitoring, and investment analysis. - **[Airbnb Images Downloader](https://apify.com/rigelbytes/airbnb-images-downloader)** — Scrape property listings and market data from Airbnb for market research, price monitoring, and investment analysis. - **[Airbnb Listing](https://apify.com/rigelbytes/airbnb-listing)** — Scrape property listings and market data from Airbnb for market research, price monitoring, and investment analysis. - **[Airbnb Listing Urls](https://apify.com/rigelbytes/airbnb-listing-urls)** — Scrape property listings and market data from Airbnb for market research, price monitoring, and investment analysis. - **[Airbnb Property Details](https://apify.com/rigelbytes/airbnb-property-details)** — Scrape property listings and market data from Airbnb for market research, price monitoring, and investment analysis. - **[Airbnb Reviews](https://apify.com/rigelbytes/airbnb-reviews)** — Scrape property listings and market data from Airbnb for market research, price monitoring, and investment analysis. - **[Airbnb Scraper - Search & Listing Details](https://apify.com/rigelbytes/airbnb-scraper)** — Scrape property listings and market data from Airbnb for market research, price monitoring, and investment analysis. - **[Bayut Scraper](https://apify.com/rigelbytes/bayut-scraper)** — Scrape property listings and market data from Bayut for market research, price monitoring, and investment analysis. - **[dubai-listing-scraper](https://apify.com/rigelbytes/dubai-listing-scraper)** — Extract unlimited property listings from Bayut.com — the UAE's largest real estate platform. Get detailed property... - **[Export Airbnb Calendar](https://apify.com/rigelbytes/export-airbnb-calendar)** — Scrape property listings and market data from Airbnb for market research, price monitoring, and investment analysis. - **[Furnished Finder Fast](https://apify.com/rigelbytes/furnished-finder-fast)** — Scrape property listings and market data from Furnished Finder for market research, price monitoring, and investment analysis. - **[Extract Furnished Finder Hosts](https://apify.com/rigelbytes/furnished-finder-hosts)** — Scrape property listings and market data from Furnished Finder for market research, price monitoring, and investment analysis. - **[FurnishedFinder](https://apify.com/rigelbytes/furnishedfinder)** — Scrape property listings and market data from Furnished Finder for market research, price monitoring, and investment analysis. - **[Hemnet.se Scraper - Swedish Real Estate Listings](https://apify.com/rigelbytes/hemnet-se-scraper)** — Scrape property listings from Hemnet.se including for-sale, upcoming, and sold homes. Search by URL or location... - **[Immobiliare Italy Real Estate Scraper](https://apify.com/rigelbytes/immobiliare-it-scraper)** — Scrape property listings and market data from real estate portals for market research, price monitoring, and investment analysis. - **[Immobilienscout24](https://apify.com/rigelbytes/immobilienscout24)** — Scrape property listings and market data from real estate portals for market research, price monitoring, and investment analysis. - **[Immobilienscout24-scraper](https://apify.com/rigelbytes/immobilienscout24-scraper)** — Scrape property listings and market data from real estate portals for market research, price monitoring, and investment analysis. - **[Immoweb Scraper - Belgium Property Listings](https://apify.com/rigelbytes/immoweb-scraper)** — Scrapes property listings from Immoweb.be. Supports search result extraction with optional property detail enrichment. - **[Immowelt Property Scraper](https://apify.com/rigelbytes/immowelt-property-scraper)** — The Immowelt Scraper helps you extract unlimited real estate listings from Immowelt with complete details including... - **[Immowelt Scraper](https://apify.com/rigelbytes/immowelt-scraper)** — The Immowelt Scraper helps you extract unlimited real estate listings from Immowelt with complete details including... - **[Land.com Scraper](https://apify.com/rigelbytes/landdotcom-scraper)** — Scrape property listings and market data from Land.com for market research, price monitoring, and investment analysis. - **[Outdoorsy Scraper](https://apify.com/rigelbytes/outdoorsy-scraper)** — Scrape property listings and market data from Outdoorsy for market research, price monitoring, and investment analysis. - **[Propertyfinder Scraper](https://apify.com/rigelbytes/propertyfinder-scraper)** — Scrape property listings and market data from Property Finder for market research, price monitoring, and investment analysis. - **[Redfin Scraper](https://apify.com/rigelbytes/redfin-scraper)** — Scrape property listings and market data from Redfin for market research, price monitoring, and investment analysis. - **[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. - **[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. - **[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. - **[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. - **[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.... #### 📩 Lead Generation Find business contacts, leads, and company data for sales and outreach. - **[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. Get detailed... - **[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. Collect... - **[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... - **[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. #### ⭐ 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. - **[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. - **[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... *** ### 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 [ { "caseID": "f8df46de-9098-444b-8a67-4e8f49f1b9c6", "addressType": "villa", "priceCash": 595000, "monthlyExpense": 1028, "housingArea": 179, "lotArea": 843, "numberOfRooms": 6, "perAreaPrice": 3115, "energyLabel": "e", "yearBuilt": 1972, "roadName": "Søndervænget", "houseNumber": "46", "zipCode": 7790, "cityName": "Thyholm", "municipality": "Struer", "province": "Vestjylland", "realtorName": "Nybolig", "daysListed": 4719, "descriptionTitle": "Her er den rummelige villa til børnefamilien!", "status": "open", "hasBalcony": false, "hasTerrace": false, "hasElevator": false, "stats": { "pageViews": 5290, "totalClickCount": 2877, "totalFavourites": 68 }, "priceTimeline": [ { "date": "2013-07-19T00:00:00Z", "price": 595000, "eventType": "open" } ] }, { "caseID": "add1986b-329f-488b-9e81-89ed36f14cd5", "addressType": "villa", "priceCash": 1295000, "priceChangePercentage": -23.6, "monthlyExpense": 2665, "housingArea": 228, "lotArea": 1554, "numberOfRooms": 5, "perAreaPrice": 5307, "energyLabel": "f", "yearBuilt": 1955, "roadName": "Johs Buchholtz Vej", "houseNumber": "2", "zipCode": 7600, "cityName": "Struer", "municipality": "Struer", "province": "Vestjylland", "realtorName": "EDC", "daysListed": 4701, "status": "open", "stats": { "pageViews": 4602, "totalClickCount": 3281, "totalFavourites": 96 }, "priceTimeline": [ { "date": "2013-08-06T16:24:00Z", "price": 1695000, "eventType": "open" }, { "date": "2025-09-10T14:10:12Z", "price": 1295000, "eventType": "price_change" } ] } ] ``` # Actor input Schema ## `searchType` (type: `string`): Which section of Boligsiden.dk to scrape ## `searchQuery` (type: `string`): Location search text — city, municipality (e.g. København, Aarhus), neighborhood (e.g. Nørrebro), zip code (e.g. 2100), or street name (e.g. Strandvejen). Resolved via the Boligsiden location API. Leave empty to search all of Denmark. ## `addressTypes` (type: `array`): Filter by property types (leave empty for all) ## `sortBy` (type: `string`): How to sort the results (note: only timeOnMarket, price, and random work for tilsalg; price, timeOnMarket, and soldDate for solgte; createdAt for leje) ## `sortAscending` (type: `boolean`): Sort from lowest to highest (false = highest to lowest) ## `minPrice` (type: `integer`): Minimum price in Danish Kroner ## `maxPrice` (type: `integer`): Maximum price in Danish Kroner ## `minArea` (type: `integer`): Minimum living area in square meters ## `maxArea` (type: `integer`): Maximum living area in square meters ## `minLotArea` (type: `integer`): Minimum lot/plot area in square meters ## `maxLotArea` (type: `integer`): Maximum lot/plot area in square meters ## `minRooms` (type: `integer`): Minimum number of rooms ## `maxRooms` (type: `integer`): Maximum number of rooms ## `minYearBuilt` (type: `integer`): Earliest construction year ## `maxYearBuilt` (type: `integer`): Latest construction year ## `maxDaysOnMarket` (type: `integer`): Only properties listed for at most this many days ## `maxDaysSincePriceDrop` (type: `integer`): Only properties with a price reduction within this many days ## `hasOpenHouse` (type: `boolean`): Only properties with scheduled open house viewings ## `hasBalcony` (type: `boolean`): Only properties with a balcony ## `hasTerrace` (type: `boolean`): Only properties with a terrace ## `hasElevator` (type: `boolean`): Only properties with an elevator in the building ## `registrationTypes` (type: `array`): Filter sold properties by registration type (normal, auction, family transfer, etc.) ## `maxItems` (type: `integer`): Maximum number of listings to scrape (0 = unlimited) ## `maxPages` (type: `integer`): Maximum number of search result pages to scrape (0 = unlimited) ## `enrichDetails` (type: `boolean`): Fetch listing details (images, buildings, description, realtor ratings), stats (page views, favourites, clicks), and price timeline for each listing ## `maxConcurrency` (type: `integer`): How many listings to enrich in parallel when enrichDetails is enabled (1–50). Higher values are faster but use more proxy bandwidth. ## `proxyConfiguration` (type: `object`): Proxy settings for anti-bot protection ## Actor input object example ```json { "searchType": "tilsalg", "addressTypes": [ "villa", "condo", "terraced_house" ], "sortAscending": false, "hasOpenHouse": false, "hasBalcony": false, "hasTerrace": false, "hasElevator": false, "maxItems": 100, "maxPages": 0, "enrichDetails": false, "maxConcurrency": 10, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `results` (type: `string`): Dataset containing scraped property listings # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "searchQuery": "", "addressTypes": [ "villa", "condo", "terraced_house" ], "maxItems": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("rigelbytes/boligsiden-dk-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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "searchQuery": "", "addressTypes": [ "villa", "condo", "terraced_house", ], "maxItems": 100, } # Run the Actor and wait for it to finish run = client.actor("rigelbytes/boligsiden-dk-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 '{ "searchQuery": "", "addressTypes": [ "villa", "condo", "terraced_house" ], "maxItems": 100 }' | apify call rigelbytes/boligsiden-dk-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=rigelbytes/boligsiden-dk-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Boligsiden.dk Scraper", "description": "Scrape Danish real estate listings from Boligsiden.dk — for sale, sold, and rental properties with pricing, details, and history.", "version": "1.0", "x-build-id": "bh00fdksvxETbcYib" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/rigelbytes~boligsiden-dk-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-rigelbytes-boligsiden-dk-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/rigelbytes~boligsiden-dk-scraper/runs": { "post": { "operationId": "runs-sync-rigelbytes-boligsiden-dk-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/rigelbytes~boligsiden-dk-scraper/run-sync": { "post": { "operationId": "run-sync-rigelbytes-boligsiden-dk-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchType": { "title": "Search Type", "enum": [ "tilsalg", "solgte", "leje" ], "type": "string", "description": "Which section of Boligsiden.dk to scrape", "default": "tilsalg" }, "searchQuery": { "title": "Search Query", "type": "string", "description": "Location search text — city, municipality (e.g. København, Aarhus), neighborhood (e.g. Nørrebro), zip code (e.g. 2100), or street name (e.g. Strandvejen). Resolved via the Boligsiden location API. Leave empty to search all of Denmark." }, "addressTypes": { "title": "Property Types", "type": "array", "description": "Filter by property types (leave empty for all)", "items": { "type": "string", "enum": [ "villa", "condo", "terraced_house", "holiday_house", "cooperative", "farm", "hobby_farm", "full_year_plot", "villa_apartment", "holiday_plot", "houseboat", "room" ], "enumTitles": [ "Villa / House", "Condominium / Apartment", "Terraced House", "Holiday House", "Cooperative", "Farm", "Hobby Farm", "Full Year Plot", "Villa Apartment", "Holiday Plot", "Houseboat", "Room" ] } }, "sortBy": { "title": "Sort By", "enum": [ "timeOnMarket", "price", "createdAt", "soldDate", "area", "distance", "random" ], "type": "string", "description": "How to sort the results (note: only timeOnMarket, price, and random work for tilsalg; price, timeOnMarket, and soldDate for solgte; createdAt for leje)" }, "sortAscending": { "title": "Sort Ascending", "type": "boolean", "description": "Sort from lowest to highest (false = highest to lowest)", "default": false }, "minPrice": { "title": "Min Price (DKK)", "minimum": 0, "type": "integer", "description": "Minimum price in Danish Kroner" }, "maxPrice": { "title": "Max Price (DKK)", "minimum": 0, "type": "integer", "description": "Maximum price in Danish Kroner" }, "minArea": { "title": "Min Living Area (m²)", "minimum": 0, "type": "integer", "description": "Minimum living area in square meters" }, "maxArea": { "title": "Max Living Area (m²)", "minimum": 0, "type": "integer", "description": "Maximum living area in square meters" }, "minLotArea": { "title": "Min Lot Area (m²)", "minimum": 0, "type": "integer", "description": "Minimum lot/plot area in square meters" }, "maxLotArea": { "title": "Max Lot Area (m²)", "minimum": 0, "type": "integer", "description": "Maximum lot/plot area in square meters" }, "minRooms": { "title": "Min Rooms", "minimum": 1, "type": "integer", "description": "Minimum number of rooms" }, "maxRooms": { "title": "Max Rooms", "minimum": 1, "type": "integer", "description": "Maximum number of rooms" }, "minYearBuilt": { "title": "Min Year Built", "minimum": 1600, "maximum": 2030, "type": "integer", "description": "Earliest construction year" }, "maxYearBuilt": { "title": "Max Year Built", "minimum": 1600, "maximum": 2030, "type": "integer", "description": "Latest construction year" }, "maxDaysOnMarket": { "title": "Max Days on Market", "minimum": 0, "type": "integer", "description": "Only properties listed for at most this many days" }, "maxDaysSincePriceDrop": { "title": "Max Days Since Price Drop", "minimum": 0, "type": "integer", "description": "Only properties with a price reduction within this many days" }, "hasOpenHouse": { "title": "Has Open House", "type": "boolean", "description": "Only properties with scheduled open house viewings", "default": false }, "hasBalcony": { "title": "Has Balcony", "type": "boolean", "description": "Only properties with a balcony", "default": false }, "hasTerrace": { "title": "Has Terrace", "type": "boolean", "description": "Only properties with a terrace", "default": false }, "hasElevator": { "title": "Has Elevator", "type": "boolean", "description": "Only properties with an elevator in the building", "default": false }, "registrationTypes": { "title": "Registration Types", "type": "array", "description": "Filter sold properties by registration type (normal, auction, family transfer, etc.)", "items": { "type": "string", "enum": [ "normal", "family", "auction", "sole_owner", "company", "sold", "new_construction" ], "enumTitles": [ "Normal Sale", "Family Transfer", "Auction / Foreclosure", "Sole Owner", "Company", "Sold", "New Construction" ] } }, "maxItems": { "title": "Max Items", "minimum": 0, "type": "integer", "description": "Maximum number of listings to scrape (0 = unlimited)", "default": 0 }, "maxPages": { "title": "Max Pages", "minimum": 0, "type": "integer", "description": "Maximum number of search result pages to scrape (0 = unlimited)", "default": 0 }, "enrichDetails": { "title": "Enrich With Stats & Timeline", "type": "boolean", "description": "Fetch listing details (images, buildings, description, realtor ratings), stats (page views, favourites, clicks), and price timeline for each listing", "default": false }, "maxConcurrency": { "title": "Max Concurrency", "minimum": 1, "maximum": 50, "type": "integer", "description": "How many listings to enrich in parallel when enrichDetails is enabled (1–50). Higher values are faster but use more proxy bandwidth.", "default": 10 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for anti-bot protection", "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 } } } } } } } } } } ```