# ImmobilienScout24 Search Scraper (`thescrappa/immobilienscout24-search-scraper`) Actor Scrape ImmobilienScout24 property search listings with prices, rooms, floor area, addresses, coordinates, images, expose URLs, and pagination. - **URL**: https://apify.com/thescrappa/immobilienscout24-search-scraper.md - **Developed by:** [Scrappa](https://apify.com/thescrappa) (community) - **Categories:** Business, Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 87.5% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## ImmobilienScout24 Search Scraper Scrape ImmobilienScout24 property search listings by location, search type, price, rooms, and floor area. The actor saves one dataset item per listing and stores the trimmed Scrappa response in key-value store key `OUTPUT`. Recommended paid pricing: **$0.30 per 1,000 saved property listings** using the `property-result` pay-per-event charge. ### Example input ```json { "location": "1276003001", "type": "apartment-rent", "price_max": 1500, "rooms_min": 2, "page": 1, "per_page": 20 } ```` ### Output fields Common top-level fields include: - `title` - `price` - `price_formatted` - `rooms` - `rooms_max` - `size_m2` - `size_m2_max` - `address` - `latitude` - `longitude` - `url` - `online_id` - `id` - `image_url` - `is_private` - `published` - `request_location` - `request_type` - `request_price_min` - `request_price_max` - `request_rooms_min` - `request_rooms_max` - `request_size_min` - `request_size_max` - `request_page` - `request_per_page` Use `page`, `total_pages`, and `total_results` from the full `OUTPUT` object to continue pagination. # Actor input Schema ## `location` (type: `string`): City name, district, postal code, or ImmobilienScout24 geocode. ## `type` (type: `string`): Scrappa ImmobilienScout24 search type. ## `price_min` (type: `integer`): Minimum price in EUR. ## `price_max` (type: `integer`): Maximum price in EUR. ## `rooms_min` (type: `number`): Minimum number of rooms, for example 1.5. ## `rooms_max` (type: `number`): Maximum number of rooms. ## `size_min` (type: `integer`): Minimum floor area in square meters. ## `size_max` (type: `integer`): Maximum floor area in square meters. ## `page` (type: `integer`): Results page to fetch. ## `per_page` (type: `integer`): Number of listings to request for this page. ## Actor input object example ```json { "location": "1276003001", "type": "apartment-rent", "page": 1, "per_page": 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 = { "location": "1276003001" }; // Run the Actor and wait for it to finish const run = await client.actor("thescrappa/immobilienscout24-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 = { "location": "1276003001" } # Run the Actor and wait for it to finish run = client.actor("thescrappa/immobilienscout24-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 '{ "location": "1276003001" }' | apify call thescrappa/immobilienscout24-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=thescrappa/immobilienscout24-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ImmobilienScout24 Search Scraper", "description": "Scrape ImmobilienScout24 property search listings with prices, rooms, floor area, addresses, coordinates, images, expose URLs, and pagination.", "version": "1.0", "x-build-id": "DZMSNNT6JfsqowgXa" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/thescrappa~immobilienscout24-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-thescrappa-immobilienscout24-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/thescrappa~immobilienscout24-search-scraper/runs": { "post": { "operationId": "runs-sync-thescrappa-immobilienscout24-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/thescrappa~immobilienscout24-search-scraper/run-sync": { "post": { "operationId": "run-sync-thescrappa-immobilienscout24-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "location" ], "properties": { "location": { "title": "Location", "maxLength": 120, "type": "string", "description": "City name, district, postal code, or ImmobilienScout24 geocode.", "default": "1276003001" }, "type": { "title": "Search Type", "enum": [ "apartment-rent", "apartment-buy", "house-rent", "house-buy" ], "type": "string", "description": "Scrappa ImmobilienScout24 search type.", "default": "apartment-rent" }, "price_min": { "title": "Minimum price", "minimum": 0, "type": "integer", "description": "Minimum price in EUR." }, "price_max": { "title": "Maximum price", "minimum": 0, "type": "integer", "description": "Maximum price in EUR." }, "rooms_min": { "title": "Minimum rooms", "minimum": 0, "type": "number", "description": "Minimum number of rooms, for example 1.5." }, "rooms_max": { "title": "Maximum rooms", "minimum": 0, "type": "number", "description": "Maximum number of rooms." }, "size_min": { "title": "Minimum size", "minimum": 0, "type": "integer", "description": "Minimum floor area in square meters." }, "size_max": { "title": "Maximum size", "minimum": 0, "type": "integer", "description": "Maximum floor area in square meters." }, "page": { "title": "Page", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Results page to fetch.", "default": 1 }, "per_page": { "title": "Results per page", "minimum": 1, "maximum": 50, "type": "integer", "description": "Number of listings to request for this page.", "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 } } } } } } } } } } ```