# Kyero Property Search Scraper (`stealth_mode/kyero-property-search-scraper`) Actor Scrape property listings from Kyero.com with structured data including price, location, size, agent info, and media URLs. Perfect for real estate analysts, investors, and developers needing bulk property data. - **URL**: https://apify.com/stealth\_mode/kyero-property-search-scraper.md - **Developed by:** [Stealth mode](https://apify.com/stealth_mode) (community) - **Categories:** Automation, Developer tools, Real estate - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.50 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## Kyero.com Property Search Scraper: Extract Real Estate Listings at Scale --- ### What Is Kyero.com? Kyero.com is a major European real estate portal specializing in properties for sale and rent, particularly across Spain, Portugal, France, and Italy. The **Kyero Property Scraper** automates extraction of listing data from search result pages — saving hours of manual research for investors, agents, and market analysts. --- ### Overview This scraper processes Kyero.com search/listing pages and returns structured property records. It suits: - **Investors** researching price trends by location - **Real estate agents** monitoring competitor listings - **Developers** feeding data into property aggregators --- ### Input Format ```json { "urls": ["https://www.kyero.com/en/paris-property-for-sale-0l63322?page=2"], "ignore_url_failures": true, "max_items_per_url": 50 } ```` | Field | Type | Description | |---|---|---| | `urls` | Array of strings | Search result page URLs to scrape. Add one per line or use bulk edit. | | `max_items_per_url` | Integer | Max listings collected per URL. Default: `20`. | | `ignore_url_failures` | Boolean | If `true`, skips failed URLs and continues the run instead of stopping. | > **Tip:** Use paginated URLs (e.g., `?page=2`) to scrape beyond the first results page. *** ### Output Format **Sample output** ```json { "id": 19810884, "name": "Country house in Allemans-du-Dropt, Lot-et-Garonne", "price": 169600, "price_formatted": "€ 169,600", "reference_no": "D4849", "payment_scheme": "for_sale", "location_id": 55978, "images": [ "https://images.kyero.com/crop/960x720/https://production-kyero-property-images.s3.amazonaws.com/19810/19810884/388372367_original.jpg", "https://images.kyero.com/crop/960x720/https://production-kyero-property-images.s3.amazonaws.com/19810/19810884/388372368_original.jpg", "https://images.kyero.com/crop/960x720/https://production-kyero-property-images.s3.amazonaws.com/19810/19810884/388372369_original.jpg", "https://images.kyero.com/crop/960x720/https://production-kyero-property-images.s3.amazonaws.com/19810/19810884/388372370_original.jpg", "https://images.kyero.com/crop/960x720/https://production-kyero-property-images.s3.amazonaws.com/19810/19810884/388372371_original.jpg" ], "images_count": 15, "path": "/en/property/19810884-country-house-for-sale-allemans-du-dropt?prime_boost_id=19810884", "bedroom_count": 2, "bathroom_count": 1, "built_m2": 83, "plot_m2": 4613, "short_html_description": "Charming single-storey house, built in the 2000s, nestled on a large plot of 4,613 m². Located in the countryside, this property offers a peaceful...", "property_type": { "id": 6, "key": "country house", "property_group_id": 4 }, "agent": { "id": 26018, "name": "Chrome Immobilier Duras", "logo_url": "https://images.kyero.com/fit/125x125/https://production-kyero-property-images.s3.amazonaws.com/agents/26/26018.jpg?checksum=be01bbcdd1ecdf4d3078c9b7be1d63d2", "status": "live", "path": "/en/france/estate-agents/profile/chrome-immobilier-duras-a26018", "prime": true, "type": "2" }, "virtual_tour_url": null, "video_url": null, "remote_viewing_enabled": true, "feature_keys": [ "garage", "garden", "near_shops", "near_transport", "resale_only" ], "badges": [ "remote_viewing" ], "plot_m2_formatted": "4,613 m²", "build_m2_formatted": "83 m²", "featured": true } ``` Each property returns up to 25 fields: #### Identification | Field | Meaning | |---|---| | `ID` | Kyero's internal listing ID | | `Name` | Listing title | | `Reference No` | Agent's own reference number | | `Path` | Relative URL path to the listing detail page | #### Pricing | Field | Meaning | |---|---| | `Price` | Raw numeric price value | | `Price Formatted` | Human-readable price (e.g., `€ 250,000`) | | `Payment Scheme` | Payment structure (e.g., full purchase, rental) | #### Property Details | Field | Meaning | |---|---| | `Property Type` | Category (e.g., apartment, villa, land) | | `Bedroom Count` | Number of bedrooms | | `Bathroom Count` | Number of bathrooms | | `Built M2` / `Build M2 Formatted` | Interior built area (raw + formatted) | | `Plot M2` / `Plot M2 Formatted` | Land plot area (raw + formatted) | | `Short HTML Description` | Brief HTML listing description | | `Feature Keys` | Amenity tags (e.g., pool, garage, terrace) | #### Location & Media | Field | Meaning | |---|---| | `Location ID` | Kyero location identifier | | `Images` | Array of image URLs | | `Images Count` | Total number of listing photos | | `Virtual Tour URL` | 360° or virtual tour link (if available) | | `Video URL` | Video walkthrough link (if available) | | `Remote Viewing Enabled` | Whether remote viewing is offered | #### Agent & Visibility | Field | Meaning | |---|---| | `Agent` | Agent name and contact metadata | | `Badges` | Listing badges (e.g., "New", "Reduced") | | `Featured` | Whether the listing has paid featured placement | *** ### How to Use 1. Run a search on Kyero.com and copy the results page URL. 2. Paste into the `urls` array — add multiple URLs for different regions or property types. 3. Set `max_items_per_url` based on how many listings you need. 4. Enable `ignore_url_failures: true` for bulk runs. 5. Export results as JSON or CSV. > **Note:** Ensure scraped data is used in compliance with Kyero.com's Terms of Service. *** ### Use Cases - Track price movements across European property markets - Build custom property search tools or dashboards - Conduct investment due diligence across multiple regions - Analyze listing volume and agent activity by location # Actor input Schema ## `urls` (type: `array`): Add the URLs of the tour list 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. ## `max_items_per_url` (type: `integer`): The maximum number of items to scrape per URL. ## Actor input object example ```json { "urls": [ "https://www.kyero.com/en/paris-property-for-sale-0l63322?page=2" ], "ignore_url_failures": true, "max_items_per_url": 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 = { "urls": [ "https://www.kyero.com/en/paris-property-for-sale-0l63322?page=2" ], "ignore_url_failures": true, "max_items_per_url": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("stealth_mode/kyero-property-search-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 = { "urls": ["https://www.kyero.com/en/paris-property-for-sale-0l63322?page=2"], "ignore_url_failures": True, "max_items_per_url": 20, } # Run the Actor and wait for it to finish run = client.actor("stealth_mode/kyero-property-search-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 '{ "urls": [ "https://www.kyero.com/en/paris-property-for-sale-0l63322?page=2" ], "ignore_url_failures": true, "max_items_per_url": 20 }' | apify call stealth_mode/kyero-property-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=stealth_mode/kyero-property-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Kyero Property Search Scraper", "description": "Scrape property listings from Kyero.com with structured data including price, location, size, agent info, and media URLs. Perfect for real estate analysts, investors, and developers needing bulk property data.", "version": "0.0", "x-build-id": "TLPLecrqlpAs1Voxs" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/stealth_mode~kyero-property-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-stealth_mode-kyero-property-search-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/stealth_mode~kyero-property-search-scraper/runs": { "post": { "operationId": "runs-sync-stealth_mode-kyero-property-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/stealth_mode~kyero-property-search-scraper/run-sync": { "post": { "operationId": "run-sync-stealth_mode-kyero-property-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "urls": { "title": "URLs of the tour list urls to scrape", "type": "array", "description": "Add the URLs of the tour list urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list.", "items": { "type": "string" } }, "ignore_url_failures": { "title": "Continue running even if some URLs fail to be scraped", "type": "boolean", "description": "If true, the scraper will continue running even if some URLs fail to be scraped." }, "max_items_per_url": { "title": "Max items per URL", "type": "integer", "description": "The maximum number of items to scrape per URL." } } }, "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 } } } } } } } } } } ```