\n Alquiler de departamento 2 ambientes con balcón en palermo, capital federal\n\nluminoso y amplio departamento de 2 ambientes al frente, con balcón. Ubicado en el cuarto piso, recién pintado. Dispone de:\n\namplio living-comedor\n\ncocina independiente\n\nlavadero separado\n\nbaño completo con bañera.\n\nUbicación privilegiada: ubicado en borges 2420, a metros de plaza italia, el jardín botánico y con fácil acceso a av. Santa fe. La zona ofrece excelente conectividad: subte d, múltiples líneas de colectivo y cercanía con los principales puntos de la ciudad.\n\n \n\nRequisitos excluyentes para avanzar con el alquiler: garantía propietaria de caba o del interior de la provincia de buenos aires y contar con ingresos comprobables (recibos de sueldo, monotributo, autónomos, etc.)\n\nAclaración: el propietario no acepta perros.\n\nContrato tradicional 2 años ajuste cada 3 meses por ipc.\n\n \n\nContacto para visitas: para agendar, escribinos por whatsapp al .\n\n \n\nAvisos legales:\n\n- se encuentra prohibido cobrar comisiones inmobiliarias y gastos de gestoría de informes a los inquilinos que sean personas físicas. Para los casos de alquiler de vivienda, el monto máximo de comisión que se le puede requerir a los propietarios será el equivalente al cuatro con quince centésimos por cientos (4,15%) del valor total del respectivo contrato.\n\n- Las descripciones arquitectónicas y funcionales, valores de expensas, impuestos y servicios, fotos y medidas de este inmueble son aproximados. Los datos fueron proporcionados por el propietario y pueden no estar actualizados a la hora de la visualización de este aviso por lo cual puede arrojar inexactitudes y discordancias con las que surgen de las facturas, títulos y planos legales del inmueble. El interesado debe realizar las verificaciones respectivas previamente a la realización de cualquier operación, requiriendo por si o sus profesionales las copias necesarias de la documentación que corresponda.\n\nCorredores inmobiliarios: juan carlos sardi cucicba 2174 luciano lance cucicba 2173\n
", "images": [ null, "https://www.argenprop.com/static-content/56250281/f842d272-c6e1-44fa-8a0b-f4bbc53d4cd9_u_small.jpg", "https://www.argenprop.com/static-content/56250281/2f3ede60-428a-43ab-9df8-9abf9ae62325_u_small.jpg", "https://www.argenprop.com/static-content/56250281/91fc95a6-fe40-483d-b9b5-c2a2ddf88c73_u_small.jpg", "https://www.argenprop.com/static-content/56250281/5ff03945-209b-4006-8d47-339cdca8876e_u_small.jpg", "https://www.argenprop.com/static-content/56250281/0aa8ed72-6b69-40fa-b97b-ad94f2ba72dc_u_small.jpg", "https://www.argenprop.com/static-content/56250281/d2d188ae-8773-408a-ba67-15c9fdea800e_u_small.jpg", "https://www.argenprop.com/static-content/56250281/d11c8c14-a0c7-42e0-8e64-8a9f9b314242_u_small.jpg" ], "from_url": "https://www.argenprop.com/departamentos/alquiler?pagina-2" }, // ... Many other property details ] ``` #### Output Fields Explained **ID** (String): Unique identifier for the property listing on Argenprop.com. This is crucial for: - Tracking specific properties across multiple scraping sessions - Deduplicating results when scraping overlapping search queries - Creating direct links back to the original listing - Building relational databases with property as the primary key **Title** (String): The property headline or main description. Typically includes: - Property type (apartment, house, office) - Key features (number of rooms, square footage) - Location highlights - *Use case*: Quick property identification, search indexing, creating user-facing listings **URL** (String): Direct link to the full property listing page. Essential for: - Accessing additional details not captured in search results - Providing users with source verification - Re-scraping individual properties for updated information - Tracking listing history and changes **Price** (String/Object): Property price information, which may include: - Sale price or monthly rent amount - Currency (typically Argentine Peso - ARS) - Price qualifiers (e.g., "USD", "negotiable") - *Use case*: Price comparison analysis, market trend tracking, filtering properties by budget, calculating ROI **Address** (String): Property location information, typically containing: - Neighborhood or district name - City/municipality - Province (if applicable) - Sometimes street name (depending on listing privacy settings) - *Use case*: Geographic analysis, mapping properties, location-based filtering, identifying investment zones **Details** (Object/Array): Structured property specifications, commonly including: - Number of bedrooms and bathrooms - Total area (square meters) - Covered area vs. total area - Property age or construction year - Amenities (parking, pool, security, etc.) - Property condition - *Use case*: Filtering properties by specific criteria, comparative analysis, matching buyer requirements **Description** (String): Full text description provided by the listing agent or owner. Contains: - Detailed property features - Neighborhood information - Nearby services and transportation - Special selling points - Contact or viewing instructions - *Use case*: Natural language processing for feature extraction, sentiment analysis, generating property summaries, SEO content **Images** (Array): Collection of image URLs for the property, including: - Exterior photos - Interior room photos - Amenity images - Floor plans (if available) - *Use case*: Visual property galleries, image recognition for feature detection, quality assessment, social media marketing ### How to Use the Argenprop.com Scraper #### Step-by-Step Guide ##### Option 1: Scraping with URLs **Step 1: Identify Target Search URLs** Navigate to Argenprop.com and perform searches for your target properties (by type, location, price range). Copy the URLs from search result pages you want to scrape. **Step 2: Configure Your Input** Prepare your JSON configuration with the copied URLs. Adjust `max_items_per_url` based on how many properties you need from each search page. **Step 3: Set Appropriate Proxy Settings** Configure your proxy settings. For best results, consider using proxies that match the website's geographic location to avoid detection. **Step 4: Execute the Scraper** Run the scraper with your configuration. The tool will automatically navigate through each URL, extract property data, and compile results. **Step 5: Process the Output** Review the extracted data, remove duplicates if necessary (using the ID field), and integrate into your analysis pipeline or database. ##### Option 2: Scraping with Search Filters **Step 1: Identify Target Location** - Visit Argenprop.com and search for your desired location - From the search result URL, copy the location value - Example: From `https://www.argenprop.com/departamentos/alquiler/abasto-ros-o-acindar-o-alberdi-ros-o-parque-casado/`, the location is `"abasto-ros-o-acindar-o-alberdi-ros-o-parque-casado"` **Step 2: Configure Search Filters** - **Set location**: Add the `location` parameter with the copied value - **Define property type**: Choose `property_type` (e.g., `"departamento"` for apartments, `"casa"` for houses) - **Set operation type**: Configure `operation_type` (`"venta"` for buy, `"alquiler"` for rent, `"alquiler-temporal"` for temporary/rent) - **Add property specifications**: Set `number_of_bedrooms`, `number_of_bathrooms`, and `number_of_garages` to filter by property features - **Set price and area ranges**: Configure `price_range` (in USD, e.g., `"500-1000"`) and `area_range` (in m², e.g., `"50-100"`) - **Configure sorting**: Use `sort_by` to order results (e.g., `"menorprecio"` for lowest price first) - **Set pagination**: Use `page` parameter to start from a specific result page **Step 3: Configure General Settings** - Set `max_items_per_url` to control the number of properties to scrape - Configure proxy settings for optimal access - Set `max_retries_per_url` (2-3 is typically sufficient) - Leave the `urls` field empty when using search filters **Step 4: Execute and Monitor** - Submit your filter configuration to the scraping platform - The scraper will automatically construct search URLs based on your filters - Monitor the execution progress and review logs for any issues **Step 5: Process and Analyze Output** - Export the resulting data in your preferred format (JSON, CSV, Excel) - Validate that the scraped properties match your filter criteria - Remove duplicates if necessary using the ID field - Integrate into your analysis pipeline or database #### Best Practices **General Optimization:** - **Start small**: Test with 2-3 URLs or narrow filters and low `max_items_per_url` values before scaling up - **Respect rate limits**: Don't scrape excessively in short periods; space out large scraping jobs - **Use pagination wisely**: Instead of scraping one URL with 1000 items, scrape multiple paginated URLs with smaller limits - **Monitor for changes**: Website structure may change; verify your scraper is still capturing data correctly - **Handle missing data**: Not all listings have complete information; implement null/undefined checks in your processing logic **Filter Strategy:** - **For targeted searches**: Use specific location with tight property_type and price_range criteria - **For market research**: Start with broader filters (location + operation_type only), then progressively narrow down - **For budget analysis**: Focus on price_range and area_range with minimal other filters to understand market pricing - **For property comparison**: Set specific number_of_bedrooms, number_of_bathrooms, and area_range to compare similar properties - **Combine approaches**: Use URLs for specific listings and filters for systematic exploration of different market segments **Price and Area Range Tips:** - Format price_range as `"min-max"` in USD (e.g., `"50000-100000"`) - Format area_range as `"min-max"` in m² (e.g., `"30-80"`) - Leave ranges empty to get all properties without price/area restrictions - Use wide ranges initially to understand market distribution #### Common Issues and Solutions **Issue**: Scraper returns empty results - *Solution*: Website structure may have changed, or you're being blocked. Verify URLs are accessible and proxy settings are correct. If using filters, verify the location value is correct. **Issue**: Duplicate properties in results - *Solution*: Different search URLs or overlapping filters may include the same properties. Use the ID field to deduplicate results. **Issue**: Some images are missing - *Solution*: Some listings have limited images. Handle empty image arrays gracefully in your application. **Issue**: Prices in different currencies - *Solution*: Implement currency normalization in your data processing. Argenprop listings may be in ARS or USD. **Issue**: No results from filters - *Solution*: Verify the location parameter is correctly formatted. Try broadening your criteria by removing restrictive filters like price_range or property specifications. **Issue**: Too many results to process - *Solution*: Narrow down filters using price_range, area_range, and property specifications. Use pagination to process results in manageable batches. **Issue**: Filter combinations return unexpected results - *Solution*: Test filters individually first, then combine them progressively. Some filter combinations may be too restrictive and return no results. ### Benefits and Practical Applications #### Time and Efficiency Savings Manual data collection from hundreds of property listings would take days or weeks. Automated scraping reduces this to hours or minutes, freeing your team to focus on analysis and decision-making rather than data collection. #### Real-World Applications **Market Analysis**: Track price trends across neighborhoods, identify emerging investment areas, and understand market dynamics in different Buenos Aires districts or Argentine cities. **Competitive Intelligence**: Real estate agencies can monitor competitor listings, pricing strategies, and market positioning to adjust their own offerings. **Investment Decision Support**: Property investors can identify undervalued properties, analyze price-per-square-meter ratios, and spot opportunities matching their investment criteria. **Lead Generation**: Automatically collect property listings matching specific criteria for buyer clients, providing curated options that meet their requirements. **Academic Research**: Urban planning researchers and economists can study housing market patterns, gentrification trends, and socioeconomic factors reflected in real estate data. #### Business Value The structured data enables data-driven decision making in real estate, replacing intuition with quantifiable insights. Whether you're managing a portfolio of properties, developing a proptech solution, or conducting economic research, automated access to comprehensive real estate data is invaluable. ### Conclusion The Argenprop.com Property Search Scraper provides efficient, reliable access to Argentina's largest real estate dataset, transforming manual browsing into automated intelligence gathering. With comprehensive property information including prices, locations, specifications, and images, you gain the competitive advantage of data-driven insights in the Argentine real estate market. **Ready to streamline your real estate data collection? Start extracting valuable property data from Argenprop.com today and unlock the power of automated market intelligence.** ## Related Actors - [**Argenprop.com Property Details Scraper**](https://apify.com/ecomscrape/argenprop-property-details-scraper): A specialized data extraction tool engineered to harvest detailed property information from Argenprop's dominant Dutch real estate marketplace. ## Your feedback We are always working to improve Actors' performance. So, if you have any technical feedback about Argenprop.com Property Search Scraper or simply found a bug, please create an issue on the Actor's Issues tab in Apify Console. # Actor input Schema ## `urls` (type: `array`): Add the URLs of the Property list page urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list. ## `ignore_url_failures` (type: `boolean`): If true, the scraper will continue running even if some URLs fail to be scraped after the maximum number of retries is reached. ## `location` (type: `string`): Enter the Location to search for items, Goto website, choose location and start search, copy location value from url and paste here. (e.g. https://www.argenprop.com/departamentos/alquiler/abasto-ros-o-acindar-o-alberdi-ros-o-parque-casado/ -> location=abasto-ros-o-acindar-o-alberdi-ros-o-parque-casado) ## `property_type` (type: `string`): Filter items by Property Type ## `operation_type` (type: `string`): Filter items by Operation Type ## `number_of_bedrooms` (type: `string`): Filter items by Number of Bedrooms ## `number_of_bathrooms` (type: `string`): Filter items by Number of Bathrooms ## `number_of_garages` (type: `string`): Filter items by Number of Garages ## `price_range` (type: `string`): Filter items by Price Range (e.g., 500-1000) ## `area_range` (type: `string`): Filter items by Area Range (e.g., 50-100) ## `sort_by` (type: `string`): Sort items by (e.g., precio-ascendente, fechaonline-descendente, precio-descendente, visitas-descendente, variacionporcentual-descendente, mejoresanunciantes-descendente) ## `page` (type: `integer`): Specify the page number to start scraping from ## `max_items_per_url` (type: `integer`): Limit the number of items per URL or search filters you want to scrape ## `max_retries_per_url` (type: `integer`): Limit the number of retries for each URL or search filters if the scrape is detected as a bot or the page fails to load ## `proxy` (type: `object`): Select proxies to be used by your scraper. ## Actor input object example ```json { "urls": [ " https://www.argenprop.com/departamentos/alquiler?pagina-3" ], "ignore_url_failures": true, "max_items_per_url": 20, "max_retries_per_url": 2, "proxy": { "useApifyProxy": false } } ``` # 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 '