# Realityidnes Discovery Spider (`getdataforme/realityidnes-discovery-spider`) Actor The Realityidnes Discovery Spider efficiently scrapes detailed real estate data from Reality.idnes.cz, aiding market analysis and competitive intelligence.... - **URL**: https://apify.com/getdataforme/realityidnes-discovery-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 ## Realityidnes Discovery Spider The Realityidnes Discovery Spider is a powerful tool designed to scrape real estate listings from the Reality.idnes.cz website. It efficiently extracts detailed property information, enabling users to perform market analysis, competitive intelligence, and more. ### Features - **Comprehensive Data Extraction**: Scrapes detailed real estate listings including title, location, price, and more. - **High Data Quality**: Ensures accurate and up-to-date information from Reality.idnes.cz. - **Customizable Scraping**: Allows users to specify URLs and item limits for tailored data collection. - **Efficient Performance**: Optimized for fast data retrieval and processing. - **Scalable**: Handles large volumes of data with ease. - **User-Friendly**: Simple configuration and execution process. - **Reliable Output**: Consistent data structure for easy integration into various applications. ### Input Parameters | Parameter | Type | Required | Description | Example | |------------|---------|----------|------------------------------------------------------------|-------------------------------------------------------------------------| | Urls | Array | No | The URLs for the spider to scrape. | `["https://reality.idnes.cz/s/prodej/domy/?s-qc%5BsubtypeHouse%5D=house%7Ccabin%7Cturn-key%7Cother&page=1"]` | | itemLimit | Integer | No | Specifies the maximum number of items to process. | `20` | ### Example Usage #### Input JSON ```json { "Urls": [ "https://reality.idnes.cz/s/prodej/domy/?s-qc%5BsubtypeHouse%5D=house%7Ccabin%7Cturn-key%7Cother&page=1" ], "itemLimit": 20 } ```` #### Output JSON ```json [ { "page_title": "Domy rodinné domy, chaty a chalupy, domy na klíč, jiného typu na prodej", "total_count": "27 781 inzerátů Kly - Hoření Vinice, okres Mělník Klimkovice - Hýlov, okres Ostrava-město Hradec nad Svitavou, okres Svitavy Lipky, Červený Kostelec, okres Náchod Smetanova, Hluboká nad Vltavou, okres České Budějovice Jarošova, Varnsdorf, okres Děčín Mělnická, Libiš, okres Mělník Do koutů, Praha 4 - Modřany Pražská, Lubenec, okres Louny Drhovle - Dubí Hora, okres Písek Hlubočec, okres Opava Záhoří - Horní Záhoří, okres Písek V Zátiší, Pardubice - Studánka V Rákosí, Pyšely - Zaječice, okres Benešov Stará Paka, okres Jičín Nový Rychnov - Sázava, okres Pelhřimov Krajková - Anenská Ves, okres Sokolov Nedomice, okres Mělník Pnětluky, okres Louny Smetanova, Sušice - Sušice II, okres Klatovy Nad rybníkem, Mnichovice - Božkov, okres Praha-východ Na Příkopě, Krupka - Vrchoslav, okres Teplice Svatoplukova, Koryčany, okres Kroměříž Plavy, okres Jablonec nad Nisou náměstí T. G. Masaryka, Plzeň - Jižní Předměstí Chopinova, Mariánské Lázně, okres Cheb", "url": "https://reality.idnes.cz/detail/prodej/dum/kly/697a09990e4e3d7ebf065f44/", "brand": "Happy House Rentals, s.r.o.", "title": "prodej domu 424 m² s pozemkem 1 861 m²", "location": "Kly - Hoření Vinice, okres Mělník", "price": "Cena na vyžádání", "image": "https://sta-reality2.1gr.cz/sta/compile/thumbs/0/5/5/5a40443ba650b377dd1d1ed079301.webp", "badge": null, "house_area_m2": 424, "land_area_m2": 861, "actor_id": "P1gm0y039e69hTadC", "run_id": "3nFRU83yWlFOrMilm" } ] ``` ### Use Cases - **Market Research and Analysis**: Gather comprehensive data for real estate market trends. - **Competitive Intelligence**: Monitor competitor listings and pricing strategies. - **Price Monitoring**: Track property price changes over time. - **Content Aggregation**: Compile real estate listings for content platforms. - **Academic Research**: Analyze real estate market dynamics for studies. - **Business Automation**: Automate data collection for real estate businesses. ### Installation and Usage 1. Search for "Realityidnes Discovery 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 output is a JSON array where each object contains: - `page_title`: Title of the page. - `total_count`: Total number of listings. - `url`: URL of the listing. - `brand`: Brand or agency listing the property. - `title`: Title of the property listing. - `location`: Location of the property. - `price`: Price of the property. - `image`: URL of the property image. - `house_area_m2`: House area in square meters. - `land_area_m2`: Land area in square meters. - `actor_id`: Unique identifier for the actor. - `run_id`: Unique identifier for the run. ### 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! # Actor input Schema ## `Urls` (type: `array`): The urls for the spider. ## `itemLimit` (type: `integer`): Specifies the maximum number of items to process. ## Actor input object example ```json { "Urls": [ "https://reality.idnes.cz/s/prodej/domy/?s-qc%5BsubtypeHouse%5D=house%7Ccabin%7Cturn-key%7Cother&page=1" ], "itemLimit": 20 } ``` # 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 = { "itemLimit": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/realityidnes-discovery-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 = { "itemLimit": 20 } # Run the Actor and wait for it to finish run = client.actor("getdataforme/realityidnes-discovery-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 '{ "itemLimit": 20 }' | apify call getdataforme/realityidnes-discovery-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/realityidnes-discovery-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Realityidnes Discovery Spider", "description": "The Realityidnes Discovery Spider efficiently scrapes detailed real estate data from Reality.idnes.cz, aiding market analysis and competitive intelligence....", "version": "0.0", "x-build-id": "hIbNzIWG6vJYXbu5R" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~realityidnes-discovery-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-realityidnes-discovery-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~realityidnes-discovery-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-realityidnes-discovery-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~realityidnes-discovery-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-realityidnes-discovery-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "Urls": { "title": "Urls", "minItems": 1, "type": "array", "description": "The urls for the spider.", "default": [ "https://reality.idnes.cz/s/prodej/domy/?s-qc%5BsubtypeHouse%5D=house%7Ccabin%7Cturn-key%7Cother&page=1" ], "items": { "type": "string" } }, "itemLimit": { "title": "Item Limit", "type": "integer", "description": "Specifies the maximum number of items to process.", "default": 20 } } }, "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 } } } } } } } } } } ```