# Realitica Proeprtydetails Spider (`getdataforme/realitica-proeprtydetails-spider`) Actor Scrape detailed property listings from Realitica.com, extracting prices, descriptions, images, and contacts for real estate analysis and monitoring. Features reliable data retrieval, flexible URL inputs, fast performance, and easy no-code setup.... - **URL**: https://apify.com/getdataforme/realitica-proeprtydetails-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, E-commerce, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ### Description Scrape detailed property listings from Realitica.com, extracting prices, descriptions, images, and contacts for real estate analysis and monitoring. Features reliable data retrieval, flexible URL inputs, fast performance, and easy no-code setup.... --- ## Realitica Proeprtydetails Spider The Realitica Proeprtydetails Spider is a powerful Apify Actor designed to scrape detailed property listings from Realitica.com, extracting comprehensive data such as prices, descriptions, images, and contact information. It enables users to gather real estate data efficiently for analysis, monitoring, or integration into other systems. This tool is ideal for real estate professionals, researchers, and businesses seeking accurate and structured property information from Croatia's leading real estate platform. ### Features - **Comprehensive Data Extraction**: Captures key details like listing ID, title, property type, location, pricing, descriptions, images, and contact info. - **High Reliability**: Built with robust error handling to ensure consistent data retrieval even from dynamic web pages. - **Flexible Input**: Accepts multiple start URLs for batch processing of property listings. - **Structured Output**: Delivers clean JSON data, easily exportable to CSV, Excel, or databases. - **Fast Performance**: Optimized for speed with minimal resource usage, handling large volumes of listings quickly. - **No Coding Required**: User-friendly interface on Apify Store for easy setup and execution. - **Real-Time Updates**: Extracts the latest posted and updated dates for up-to-date insights. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|--------|----------|-------------|---------| | StartUrls | array | No | An array of URLs pointing to Realitica property listings to start scraping from. Must include at least one valid URL. | ["https://www.realitica.com/hr/listing/3681884"] | ### Example Usage To run the Actor, provide the input in JSON format: ```json { "StartUrls": [ "https://www.realitica.com/hr/listing/3681884" ] } ```` Example output in JSON format: ```json [ { "listing_id": null, "title": null, "listing_type": null, "property_type": null, "area": null, "city": null, "price_raw": null, "price": null, "currency": null, "description": null, "main_image": null, "all_images": [], "phone_number": null, "posted_date": null, "updated_date": null, "tags": [], "source_url": "https://www.realitica.com/hr/listing/3095671", "actor_id": "C26lSBJBpZIxwcyCT", "run_id": "qUT3rNddgqcEzk10c" } ] ``` ### Use Cases - **Market Research and Analysis**: Analyze property trends, pricing, and availability in specific Croatian regions. - **Competitive Intelligence**: Monitor competitors' listings to benchmark prices and features. - **Price Monitoring**: Track price changes over time for investment decisions. - **Content Aggregation**: Build databases of property data for real estate websites or apps. - **Academic Research**: Study housing markets, demographics, and economic indicators. - **Business Automation**: Integrate scraped data into CRM systems for lead generation. ### Installation and Usage 1. Search for "Realitica Proeprtydetails Spider" in the Apify Store 2. Click "Try for free" or "Run" 3. Configure input parameters 4. Click "Start" to begin extraction 5. Monitor progress in the log 6. Export results in your preferred format (JSON, CSV, Excel) ### Output Format The Actor outputs data in JSON array format, with each object representing a property listing. Key fields include `listing_id` (unique identifier), `title` (property title), `listing_type` (e.g., sale/rent), `property_type` (e.g., apartment), `area` and `city` (location details), `price_raw`, `price`, and `currency` (pricing info), `description` (detailed text), `main_image` and `all_images` (URLs to photos), `phone_number` (contact), `posted_date` and `updated_date` (timestamps), `tags` (additional labels), `source_url` (original link), and metadata like `actor_id` and `run_id`. Null values indicate unavailable data. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: https://getdataforme.com/contact/ We're here to help you get the most out of this Actor! *** ### Latest PR information | Field | Value | |-------|-------| | **PR number** | [#284](https://github.com/getdataforme/sujal_webscraping_team/pull/284) | | **PR title** | fixed | | **Author** | 1Sujal | | **Merged at** | 2026-04-22T07:42:29Z | | **Trello ticket** | | # Actor input Schema ## `StartUrls` (type: `array`): The start urls for the spider. ## Actor input object example ```json { "StartUrls": [ "https://www.realitica.com/hr/listing/3681884" ] } ``` # Actor output Schema ## `results` (type: `string`): Scraped data items from dataset # 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 = { "StartUrls": [ "https://www.realitica.com/hr/listing/3681884" ] }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/realitica-proeprtydetails-spider").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 = { "StartUrls": ["https://www.realitica.com/hr/listing/3681884"] } # Run the Actor and wait for it to finish run = client.actor("getdataforme/realitica-proeprtydetails-spider").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "StartUrls": [ "https://www.realitica.com/hr/listing/3681884" ] }' | apify call getdataforme/realitica-proeprtydetails-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/realitica-proeprtydetails-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Realitica Proeprtydetails Spider", "description": "Scrape detailed property listings from Realitica.com, extracting prices, descriptions, images, and contacts for real estate analysis and monitoring. Features reliable data retrieval, flexible URL inputs, fast performance, and easy no-code setup....", "version": "0.0", "x-build-id": "uekdt4ChVVoYi9iaQ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~realitica-proeprtydetails-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-realitica-proeprtydetails-spider", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~realitica-proeprtydetails-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-realitica-proeprtydetails-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~realitica-proeprtydetails-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-realitica-proeprtydetails-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "StartUrls": { "title": "Start Urls", "minItems": 1, "type": "array", "description": "The start urls for the spider.", "default": [ "https://www.realitica.com/hr/listing/3681884" ], "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } } } }, "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 } } } } } } } } } } ```