Immobilienscout24 Property Search Scraper
by ecomscrape
Immobilienscout24 Property Search Scraper - Extract German real estate data automatically. Get property listings with prices, square meters, room coun...
Opens on Apify.com
About Immobilienscout24 Property Search Scraper
Immobilienscout24 Property Search Scraper - Extract German real estate data automatically. Get property listings with prices, square meters, room count, addresses, contact info & energy ratings in JSON format. Perfect for real estate analysis, market research & property investment tools.
What does this actor do?
Immobilienscout24 Property Search Scraper is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.
Key Features
- Cloud-based execution - no local setup required
- Scalable infrastructure for large-scale operations
- API access for integration with your applications
- Built-in proxy rotation and anti-blocking measures
- Scheduled runs and webhooks for automation
How to Use
- Click "Try This Actor" to open it on Apify
- Create a free Apify account if you don't have one
- Configure the input parameters as needed
- Run the actor and download your results
Documentation
Contact If you encounter any issues or need to exchange information, please feel free to contact us through the following link: My profile # Guide (English version) ## immobilienscout24 Property Search Scraper: Extract German Real Estate Data Efficiently ## Introduction immobilienscout24 stands as Germany's number #1 real estate platform, serving as the leading online marketplace for residential and commercial properties. With around 13 million users visiting the portal monthly, it represents the most comprehensive source of German property data available online. For real estate professionals, investors, researchers, and market analysts, accessing this vast database manually is time-consuming and inefficient. The immobilienscout24 Property Search Scraper addresses this challenge by automating the extraction of detailed property information, enabling users to gather market intelligence, conduct competitive analysis, and make data-driven decisions in the German real estate market. ## Overview of the Scraper The immobilienscout24 Property Search Scraper is a powerful automation tool designed to extract comprehensive property listings from Germany's premier real estate platform. This scraper efficiently navigates search result pages and collects detailed property information including pricing, specifications, location data, and contact details. The tool supports both residential and commercial property extraction, making it invaluable for market research, competitive analysis, and lead generation. Key Advantages: - Comprehensive Data Extraction: Captures over 20 detailed property attributes per listing - Scalable Processing: Handles multiple URLs and large-scale data collection - Proxy Integration: Built-in residential proxy support to avoid detection - Structured Output: Delivers clean, organized data ready for analysis - Flexible Configuration: Customizable retry limits and item counts per URL Target Users: - Real estate agencies and brokers seeking market intelligence - Property investors analyzing market trends and opportunities - Researchers studying German housing market dynamics - PropTech companies requiring property data feeds - Market analysts tracking pricing and availability trends ## Input and Output Details Example url 1: https://www.immobilienscout24.de/Suche/de/berlin/berlin/wohnung-mieten?enteredFrom=one_step_search Example url 2: https://www.immobilienscout24.de/Suche/de/schleswig-holstein/wohnung-mieten?enteredFrom=one_step_search Example url 3: https://www.immobilienscout24.de/Suche/de/bremen/wohnung-mieten?enteredFrom=one_step_search Example Screenshot of property list by query page:
### Input Format The scraper accepts a JSON configuration that defines scraping parameters and target URLs: json { "max_retries_per_url": 2, // Maximum waiting time when accessing the links you provided. "proxy": { // Add a proxy to ensure that during the data collection process, you are not detected as a bot. "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "SG" // You should choose an Country that coincides with the Country you want to collect data from }, "max_items_per_url": 20, "urls": [ // Links to property list by query pages. "https://www.immobilienscout24.de/Suche/de/berlin/berlin/wohnung-mieten?enteredFrom=one_step_search", "https://www.immobilienscout24.de/Suche/de/bremen/wohnung-mieten?enteredFrom=one_step_search", "https://www.immobilienscout24.de/Suche/de/schleswig-holstein/wohnung-mieten?enteredFrom=one_step_search" ] } Input Parameters Explained: - max_retries_per_url: Controls persistence when accessing target pages (recommended: 2-3) - proxy configuration: Essential for avoiding bot detection during large-scale scraping - max_items_per_url: Limits properties extracted per search page to manage resource usage - urls array: Contains immobilienscout24 search result URLs targeting specific locations, property types, or criteria ### Output Format You get the output from the Immobilienscout24 Property Search Scraper stored in a tab. The following is an example of the Information Fields collected after running the Actor. json [ // List of property information { "id": "158484560", "url": "https://www.immobilienscout24.de/expose/158484560", "created_at": "2025-04-10T14:03:06.000+02:00", "modified_at": "2025-05-13T12:51:14.436+02:00", "published_at": "2025-04-10T14:03:06.000+02:00", "project": { "project_id": 138772, "premium": "false", "published": "true", "virtual_tour_available": "false", "title": "Pufendorfstraße 3 d u. 3 e, 10249 Berlin", "name": "Midtown Berlin", "link": "https://www.immobilienscout24.de/neubau/pandion-servicegesellschaft-mbh/midtown-berlin/138772.html", "attributes": [ { "label": "Preis", "text": "1.342 - 3.625 €" }, { "label": "Wohnfläche", "text": "46,00 - 120,00 m²" }, { "label": "Bezugsfrei ab", "text": "01.07.2025" }, { "label": "Wohneinheiten", "text": "65" }, { "label": "Ausstattung", "text": "Gehoben" }, { "label": "Zimmer", "text": "2 - 4" } ], "picture": { "uri": "https://pictures.immobilienscout24.de/dims3/S3/http://s3-eu-west-1.amazonaws.com/pda-pro-pictures-projectpictures-8hecgpgpb9fo/94921427/2f40884d-9992-497a-a8ed-db360ccedade.jpg", "scales": { "scale_and_crop": "https://pictures.immobilienscout24.de/dims3/S3/legacy_thumbnail/{width}x{height}/format/jpg/http://s3-eu-west-1.amazonaws.com/pda-pro-pictures-projectpictures-8hecgpgpb9fo/94921427/2f40884d-9992-497a-a8ed-db360ccedade.jpg", "scale": "https://pictures.immobilienscout24.de/dims3/S3/resize/{width}x{height}%3E/http://s3-eu-west-1.amazonaws.com/pda-pro-pictures-projectpictures-8hecgpgpb9fo/94921427/2f40884d-9992-497a-a8ed-db360ccedade.jpg", "white_filling": "https://pictures.immobilienscout24.de/dims3/S3/resize/{width}x{height}%3E/extent/{width}x{height}/format/jpg/http://s3-eu-west-1.amazonaws.com/pda-pro-pictures-projectpictures-8hecgpgpb9fo/94921427/2f40884d-9992-497a-a8ed-db360ccedade.jpg" } }, "gallery_attachments": { "attachment": { "@xsi.type": "common:Picture", "@xlink.href": "https://pictures.immobilienscout24.de/dims3/S3/http://s3-eu-west-1.amazonaws.com/pda-pro-pictures-projectpictures-8hecgpgpb9fo/94921427/2f40884d-9992-497a-a8ed-db360ccedade.jpg", "floorplan": "false", "title_picture": "false", "urls": [ { "url": [ { "@scale": "SCALE", "@href": "https://pictures.immobilienscout24.de/dims3/S3/resize/%WIDTH%x%HEIGHT%%3E/quality/50/http://s3-eu-west-1.amazonaws.com/pda-pro-pictures-projectpictures-8hecgpgpb9fo/94921427/2f40884d-9992-497a-a8ed-db360ccedade.jpg" }, { "@scale": "SCALE_AND_CROP", "@href": "https://pictures.immobilienscout24.de/dims3/S3/legacy_thumbnail/%WIDTH%x%HEIGHT%/format/webp/quality/50/http://s3-eu-west-1.amazonaws.com/pda-pro-pictures-projectpictures-8hecgpgpb9fo/94921427/2f40884d-9992-497a-a8ed-db360ccedade.jpg" }, { "@scale": "WHITE_FILLING", "@href": "https://pictures.immobilienscout24.de/dims3/S3/resize/%WIDTH%x%HEIGHT%%3E/extent/%WIDTH%x%HEIGHT%/format/webp/quality/50/http://s3-eu-west-1.amazonaws.com/pda-pro-pictures-projectpictures-8hecgpgpb9fo/94921427/2f40884d-9992-497a-a8ed-db360ccedade.jpg" } ] } ] } }, "address": "Pufendorfstraße 3d, 10249 Berlin", "is_presale": "false" }, "title": "Neubau Erstbezug * 3 Zi. Wohnung im 5.OG * Gäste-WC * Balkon * TG Stellplatz", "address": { "street": "Pufendorfstraße", "house_number": "3A-3E", "postcode": "10249", "city": "Berlin", "quarter": "Friedrichshain (Friedrichshain)", "wgs84_coordinate": { "latitude": 52.52193, "longitude": 13.43821 }, "precise_house_number": "true", "description": { "text": "Pufendorfstraße 3A-3E, Friedrichshain, Berlin" } }, "attributes": [ { "attribute": [ { "label": "Kaltmiete", "value": "2.410,42 €" }, { "label": "Wohnfläche", "value": "79,51 m²" }, { "label": "Zimmer", "value": 3 } ] } ], "floorplan": "true", "private_offer": "false", "contact_details": { "salutation": "MALE", "firstname": "Thomas", "lastname": "Bernhard", "phone_number": "030 200074935", "cell_phone_number": "0162 1774183", "company": "PANDION Servicegesellschaft mbH" }, "realtor_company_name": "PANDION Servicegesellschaft mbH", "spotlight_listing": "true", "price": { "value": 2410.42, "currency": "EUR", "marketing_type": "RENT", "price_interval_type": "MONTH" }, "living_space": 79.51, "number_of_rooms": 3, "energy_performance_certificate": "true", "energy_efficiency_class": "B", "built_in_kitchen": "true", "balcony": "true", "garden": "false", "calculated_total_rent": { "total_rent": { "value": 2874.42, "currency": "EUR", "marketing_type": "RENT", "price_interval_type": "MONTH" }, "calculation_mode": "SUMMARIZED" }, "construction_year": 2025, "tags": [ "Balkon/Terrasse", "Einbauküche", "Keller", "Gäste-WC", "Aufzug" ], "from_url": "https://www.immobilienscout24.de/Suche/de/berlin/berlin/wohnung-mieten?enteredFrom=one_step_search" }, // ... Many other property details ] The scraper delivers structured property data with comprehensive details: Core Identification Fields: - ID: Unique immobilienscout24 property identifier for tracking and reference - URL: Direct link to the individual property listing page - Created At/Modified At/Published At: Temporal data for tracking listing lifecycle Property Details: - Title: Property headline as displayed on immobilienscout24 - Address: Complete location information including street, district, and postal code - Attributes: Comprehensive property characteristics and features - Project: Development or building complex name (for new constructions) Financial Information: - Price: Base rental or purchase price in EUR - Calculated Total Rent: Includes additional costs like utilities and maintenance (for rentals) - Living Space: Property size in square meters - Number of Rooms: Total room count including bedrooms and living areas Property Features: - Built-in Kitchen: Boolean indicating if kitchen is included/equipped - Balcony/Garden: Outdoor space availability indicators - Construction Year: Building age for assessing property condition and value - Energy Performance Certificate: Energy efficiency rating (mandatory in Germany) - Energy Efficiency Class: Classification from A+ (most efficient) to H (least efficient) Marketing and Contact Data: - Contact Details: Property manager, landlord, or agent information - Realtor Company Name: Real estate agency handling the listing - Private Offer: Indicates if listed by individual owner vs. professional agent - Spotlight Listing: Premium placement status affecting visibility - Floorplan: Availability of property layout diagrams - Tags: Categorization labels and special features This comprehensive output structure enables users to perform detailed market analysis, compare properties across multiple criteria, and identify trends in pricing, features, and availability within the German real estate market. ## Usage Instructions Step-by-Step Implementation: 1. Configure Input Parameters: Set appropriate retry limits (2-3 recommended) and item counts based on your data volume needs 2. Setup Proxy Settings: Enable residential proxies with Germany-appropriate countries (DE, AT, CH recommended for best results) 3. Prepare Target URLs: Collect immobilienscout24 search URLs with your desired filters (location, price range, property type) 4. Execute Scraping: Run the tool during off-peak hours to minimize detection risk 5. Process Output: Import the structured data into your analysis platform or database Best Practices: - Respect Rate Limits: Space requests appropriately to avoid overwhelming the platform - Use Specific Search Queries: Target precise locations and criteria to maximize data relevance - Monitor Success Rates: Track failed requests and adjust retry settings accordingly - Validate Data Quality: Implement checks for missing or inconsistent information Common Error Handling: - CAPTCHA Challenges: Residential proxies significantly reduce occurrence - Rate Limiting: Implement delays between requests and rotate proxy IPs - Data Inconsistencies: Cross-reference extracted data with multiple sources when possible ## Benefits and Applications Time Efficiency: Automates hours of manual browsing and data collection into minutes of automated processing, enabling real-time market monitoring and rapid competitive analysis. Real-World Applications: - Market Research: Track pricing trends, availability patterns, and feature preferences across German cities - Investment Analysis: Identify undervalued properties and emerging neighborhoods through comprehensive data comparison - Lead Generation: Discover new property opportunities and contact information for direct outreach - Competitive Intelligence: Monitor competitor listings, pricing strategies, and market positioning Business Value: Provides data-driven insights that inform strategic decisions, reduce research costs, and accelerate deal identification in Germany's competitive real estate market. ## Conclusion The immobilienscout24 Property Search Scraper transforms manual property research into an automated, scalable process that delivers comprehensive market intelligence. By extracting detailed property data from Germany's leading real estate platform, users gain competitive advantages through faster market analysis, broader property coverage, and deeper insights into pricing and availability trends. Ready to streamline your German real estate research? Start extracting valuable property data today and gain the competitive edge your business needs. # Einführung (deutsche Version) ## immobilienscout24 Property Search Scraper: Extrahieren Sie deutsche Immobiliendaten effizient ## Einführung immobilienscout24 ist Deutschlands Immobilienplattform Nummer 1 und dient als führender Online-Marktplatz für Wohn- und Gewerbeimmobilien. Mit rund 13 Millionen Nutzern, die das Portal monatlich besuchen, stellt es die umfassendste Quelle für Immobiliendaten aus Deutschland dar, die online verfügbar ist. Für Immobilienfachleute, Investoren, Forscher und Marktanalysten ist der manuelle Zugriff auf diese riesige Datenbank zeitaufwendig und ineffizient. Der immobilienscout24 Property Search Scraper löst dieses Problem, indem er die Extraktion detaillierter Immobilieninformationen automatisiert. Damit können Nutzer Marktdaten gewinnen, Konkurrenzanalysen durchführen und datenbasierte Entscheidungen auf dem deutschen Immobilienmarkt treffen. ## Überblick über den Scraper Der immobilienscout24 Property Search Scraper ist ein leistungsstarkes Automatisierungstool zur Extraktion umfassender Immobilienanzeigen von Deutschlands führender Immobilienplattform. Dieser Scraper navigiert effizient durch die Suchergebnisseiten und sammelt detaillierte Immobiliendaten wie Preise, Spezifikationen, Standortdaten und Kontaktdetails. Das Tool unterstützt sowohl Wohn- als auch Gewerbeimmobilien und ist somit unverzichtbar für Marktforschung, Konkurrenzanalyse und Lead-Generierung. Wesentliche Vorteile: - Umfassende Datenerfassung: Erfasst mehr als 20 detaillierte Eigenschaften pro Anzeige - Skalierbare Verarbeitung: Unterstützt mehrere URLs und groß angelegte Datensammlungen - Proxyeinbindung: Integrierte Unterstützung für Residential Proxies zur Umgehung von Erkennung - Strukturierte Ausgabe: Liefert saubere, organisierte Daten, die sofort analysiert werden können - Flexible Konfiguration: Anpassbare Retry-Limits und Item-Anzahl pro URL Zielgruppen: - Immobilienagenturen und Makler, die Markteinsichten suchen - Immobilieninvestoren, die Markttrends und -chancen analysieren - Forscher, die die Dynamik des deutschen Wohnungsmarkts untersuchen - PropTech-Unternehmen, die Immobilien-Datenfeeds benötigen - Marktanalysten, die Preis- und Verfügbarkeitsentwicklungen verfolgen ## Details zu Eingabe und Ausgabe Beispiel-URL 1: https://www.immobilienscout24.de/Suche/de/berlin/berlin/wohnung-mieten?enteredFrom=one_step_search Beispiel-URL 2: https://www.immobilienscout24.de/Suche/de/schleswig-holstein/wohnung-mieten?enteredFrom=one_step_search Beispiel-URL 3: https://www.immobilienscout24.de/Suche/de/bremen/wohnung-mieten?enteredFrom=one_step_search Beispiel-Screenshot der Immobilienliste nach Suchabfrage:
### Eingabeformat Der Scraper akzeptiert eine JSON-Konfiguration, die die Scraping-Parameter und Ziel-URLs definiert: json { "max_retries_per_url": 2, // Maximum waiting time when accessing the links you provided. "proxy": { // Add a proxy to ensure that during the data collection process, you are not detected as a bot. "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "SG" // You should choose an Country that coincides with the Country you want to collect data from }, "max_items_per_url": 20, "urls": [ // Links to property list by query pages. "https://www.immobilienscout24.de/Suche/de/berlin/berlin/wohnung-mieten?enteredFrom=one_step_search", "https://www.immobilienscout24.de/Suche/de/bremen/wohnung-mieten?enteredFrom=one_step_search", "https://www.immobilienscout24.de/Suche/de/schleswig-holstein/wohnung-mieten?enteredFrom=one_step_search" ] } Erläuterung der Eingabeparameter: - max_retries_per_url: Steuert die Anzahl der Zugriffsversuche auf Zielseiten (empfohlen: 2-3) - Proxy-Konfiguration: Wichtig, um bei groß angelegtem Scraping eine Bot-Erkennung zu vermeiden - max_items_per_url: Begrenzt die Anzahl der pro Suchseite extrahierten Immobilien zur Ressourcensteuerung - URLs-Array: Enthält immobilienscout24-Suchergebnis-URLs für bestimmte Standorte, Immobilientypen oder Suchkriterien ### Ausgabeformat Sie erhalten die Ausgabe des Immobilienscout24 Property Search Scrapers in einem Tabellendokument. Untenstehend sehen Sie ein Beispiel für die Informationsfelder, die nach Ausführung des Actors gesammelt werden. json [ // List of property information { "id": "158484560", "url": "https://www.immobilienscout24.de/expose/158484560", "created_at": "2025-04-10T14:03:06.000+02:00", "modified_at": "2025-05-13T12:51:14.436+02:00", "published_at": "2025-04-10T14:03:06.000+02:00", "project": { "project_id": 138772, "premium": "false", "published": "true", "virtual_tour_available": "false", "title": "Pufendorfstraße 3 d u. 3 e, 10249 Berlin", "name": "Midtown Berlin", "link": "https://www.immobilienscout24.de/neubau/pandion-servicegesellschaft-mbh/midtown-berlin/138772.html", "attributes": [ { "label": "Preis", "text": "1.342 - 3.625 €" }, { "label": "Wohnfläche", "text": "46,00 - 120,00 m²" }, { "label": "Bezugsfrei ab", "text": "01.07.2025" }, { "label": "Wohneinheiten", "text": "65" }, { "label": "Ausstattung", "text": "Gehoben" }, { "label": "Zimmer", "text": "2 - 4" } ], "picture": { "uri": "https://pictures.immobilienscout24.de/dims3/S3/http://s3-eu-west-1.amazonaws.com/pda-pro-pictures-projectpictures-8hecgpgpb9fo/94921427/2f40884d-9992-497a-a8ed-db360ccedade.jpg", "scales": { "scale_and_crop": "https://pictures.immobilienscout24.de/dims3/S3/legacy_thumbnail/{width}x{height}/format/jpg/http://s3-eu-west-1.amazonaws.com/pda-pro-pictures-projectpictures-8hecgpgpb9fo/94921427/2f40884d-9992-497a-a8ed-db360ccedade.jpg", "scale": "https://pictures.immobilienscout24.de/dims3/S3/resize/{width}x{height}%3E/http://s3-eu-west-1.amazonaws.com/pda-pro-pictures-projectpictures-8hecgpgpb9fo/94921427/2f40884d-9992-497a-a8ed-db360ccedade.jpg", "white_filling": "https://pictures.immobilienscout24.de/dims3/S3/resize/{width}x{height}%3E/extent/{width}x{height}/format/jpg/http://s3-eu-west-1.amazonaws.com/pda-pro-pictures-projectpictures-8hecgpgpb9fo/94921427/2f40884d-9992-497a-a8ed-db360ccedade.jpg" } }, "gallery_attachments": { "attachment": { "@xsi.type": "common:Picture", "@xlink.href": "https://pictures.immobilienscout24.de/dims3/S3/http://s3-eu-west-1.amazonaws.com/pda-pro-pictures-projectpictures-8hecgpgpb9fo/94921427/2f40884d-9992-497a-a8ed-db360ccedade.jpg", "floorplan": "false", "title_picture": "false", "urls": [ { "url": [ { "@scale": "SCALE", "@href": "https://pictures.immobilienscout24.de/dims3/S3/resize/%WIDTH%x%HEIGHT%%3E/quality/50/http://s3-eu-west-1.amazonaws.com/pda-pro-pictures-projectpictures-8hecgpgpb9fo/94921427/2f40884d-9992-497a-a8ed-db360ccedade.jpg" }, { "@scale": "SCALE_AND_CROP", "@href": "https://pictures.immobilienscout24.de/dims3/S3/legacy_thumbnail/%WIDTH%x%HEIGHT%/format/webp/quality/50/http://s3-eu-west-1.amazonaws.com/pda-pro-pictures-projectpictures-8hecgpgpb9fo/94921427/2f40884d-9992-497a-a8ed-db360ccedade.jpg" }, { "@scale": "WHITE_FILLING", "@href": "https://pictures.immobilienscout24.de/dims3/S3/resize/%WIDTH%x%HEIGHT%%3E/extent/%WIDTH%x%HEIGHT%/format/webp/quality/50/http://s3-eu-west-1.amazonaws.com/pda-pro-pictures-projectpictures-8hecgpgpb9fo/94921427/2f40884d-9992-497a-a8ed-db360ccedade.jpg" } ] } ] } }, "address": "Pufendorfstraße 3d, 10249 Berlin", "is_presale": "false" }, "title": "Neubau Erstbezug * 3 Zi. Wohnung im 5.OG * Gäste-WC * Balkon * TG Stellplatz", "address": { "street": "Pufendorfstraße", "house_number": "3A-3E", "postcode": "10249", "city": "Berlin", "quarter": "Friedrichshain (Friedrichshain)", "wgs84_coordinate": { "latitude": 52.52193, "longitude": 13.43821 }, "precise_house_number": "true", "description": { "text": "Pufendorfstraße 3A-3E, Friedrichshain, Berlin" } }, "attributes": [ { "attribute": [ { "label": "Kaltmiete", "value": "2.410,42 €" }, { "label": "Wohnfläche", "value": "79,51 m²" }, { "label": "Zimmer", "value": 3 } ] } ], "floorplan": "true", "private_offer": "false", "contact_details": { "salutation": "MALE", "firstname": "Thomas", "lastname": "Bernhard", "phone_number": "030 200074935", "cell_phone_number": "0162 1774183", "company": "PANDION Servicegesellschaft mbH" }, "realtor_company_name": "PANDION Servicegesellschaft mbH", "spotlight_listing": "true", "price": { "value": 2410.42, "currency": "EUR", "marketing_type": "RENT", "price_interval_type": "MONTH" }, "living_space": 79.51, "number_of_rooms": 3, "energy_performance_certificate": "true", "energy_efficiency_class": "B", "built_in_kitchen": "true", "balcony": "true", "garden": "false", "calculated_total_rent": { "total_rent": { "value": 2874.42, "currency": "EUR", "marketing_type": "RENT", "price_interval_type": "MONTH" }, "calculation_mode": "SUMMARIZED" }, "construction_year": 2025, "tags": [ "Balkon/Terrasse", "Einbauküche", "Keller", "Gäste-WC", "Aufzug" ], "from_url": "https://www.immobilienscout24.de/Suche/de/berlin/berlin/wohnung-mieten?enteredFrom=one_step_search" }, // ... Many other property details ] The scraper delivers structured property data with comprehensive details: Core Identification Fields: - ID: Unique immobilienscout24 property identifier for tracking and reference - URL: Direct link to the individual property listing page - Created At/Modified At/Published At: Temporal data for tracking listing lifecycle Property Details: - Title: Property headline as displayed on immobilienscout24 - Address: Complete location information including street, district, and postal code - Attributes: Comprehensive property characteristics and features - Project: Development or building complex name (for new constructions) Financial Information: - Price: Base rental or purchase price in EUR - Calculated Total Rent: Includes additional costs like utilities and maintenance (for rentals) - Living Space: Property size in square meters - Number of Rooms: Total room count including bedrooms and living areas Property Features: - Built-in Kitchen: Boolean indicating if kitchen is included/equipped - Balcony/Garden: Outdoor space availability indicators - Construction Year: Building age for assessing property condition and value - Energy Performance Certificate: Energy efficiency rating (mandatory in Germany) - Energy Efficiency Class: Classification from A+ (most efficient) to H (least efficient) Marketing and Contact Data: - Contact Details: Property manager, landlord, or agent information - Realtor Company Name: Real estate agency handling the listing - Private Offer: Indicates if listed by individual owner vs. professional agent - Spotlight Listing: Premium placement status affecting visibility - Floorplan: Availability of property layout diagrams - Tags: Categorization labels and special features This comprehensive output structure enables users to perform detailed market analysis, compare properties across multiple criteria, and identify trends in pricing, features, and availability within the German real estate market. ## Usage Instructions Step-by-Step Implementation: 1. Configure Input Parameters: Set appropriate retry limits (2-3 recommended) and item counts based on your data volume needs 2. Setup Proxy Settings: Enable residential proxies with Germany-appropriate countries (DE, AT, CH recommended for best results) 3. Prepare Target URLs: Collect immobilienscout24 search URLs with your desired filters (location, price range, property type) 4. Execute Scraping: Run the tool during off-peak hours to minimize detection risk 5. Process Output: Import the structured data into your analysis platform or database Best Practices: - Respect Rate Limits: Space requests appropriately to avoid overwhelming the platform - Use Specific Search Queries: Target precise locations and criteria to maximize data relevance - Monitor Success Rates: Track failed requests and adjust retry settings accordingly - Validate Data Quality: Implement checks for missing or inconsistent information Common Error Handling: - CAPTCHA Challenges: Residential proxies significantly reduce occurrence - Rate Limiting: Implement delays between requests and rotate proxy IPs - Data Inconsistencies: Cross-reference extracted data with multiple sources when possible ## Benefits and Applications Time Efficiency: Automates hours of manual browsing and data collection into minutes of automated processing, enabling real-time market monitoring and rapid competitive analysis. Real-World Applications: - Market Research: Track pricing trends, availability patterns, and feature preferences across German cities - Investment Analysis: Identify undervalued properties and emerging neighborhoods through comprehensive data comparison - Lead Generation: Discover new property opportunities and contact information for direct outreach - Competitive Intelligence: Monitor competitor listings, pricing strategies, and market positioning Business Value: Provides data-driven insights that inform strategic decisions, reduce research costs, and accelerate deal identification in Germany's competitive real estate market. ## Conclusion The immobilienscout24 Property Search Scraper transforms manual property research into an automated, scalable process that delivers comprehensive market intelligence. By extracting detailed property data from Germany's leading real estate platform, users gain competitive advantages through faster market analysis, broader property coverage, and deeper insights into pricing and availability trends. Ready to streamline your German real estate research? Start extracting valuable property data today and gain the competitive edge your business needs. # Related Actors - Immobilienscout24.de Property Details Scraper: Your comprehensive tool for extracting valuable property information from immobilienscout24.de extensive real estate platform. # Your feedback We are always working to improve Actors' performance. So, if you have any technical feedback about Immobilienscout24 Property Search Scraper or simply found a bug, please create an issue on the Actor's Issues tab in Apify Console.
Categories
Common Use Cases
Market Research
Gather competitive intelligence and market data
Lead Generation
Extract contact information for sales outreach
Price Monitoring
Track competitor pricing and product changes
Content Aggregation
Collect and organize content from multiple sources
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- Developer
- ecomscrape
- Pricing
- Paid
- Total Runs
- 826
- Active Users
- 37
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