# Funda.nl Scraper 🏠 (`easyapi/funda-nl-scraper`) Actor Scrape property listings from Funda.nl - Extract detailed real estate data including prices, locations, property features, and more. Perfect for real estate analysis and market research in the Netherlands. - **URL**: https://apify.com/easyapi/funda-nl-scraper.md - **Developed by:** [EasyApi](https://apify.com/easyapi) (community) - **Categories:** Real estate, Integrations - **Stats:** 268 total users, 15 monthly users, 100.0% runs succeeded, 6 bookmarks - **User rating**: No ratings yet ## Pricing from $4.99 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## Funda.nl Scraper 🏠 ### πŸ” What does Funda.nl Scraper do? This actor scrapes real estate listings from Funda.nl or Fundainbusiness.nl, the Netherlands' leading property website. It extracts comprehensive property data, enabling you to gather valuable real estate market insights. ### ✨ Features - 🏘️ Scrapes detailed property listings from search results - πŸ“Š Extracts comprehensive property information - πŸ”„ Supports pagination and dynamic loading - πŸš€ High-performance with built-in proxy rotation - ⚑ Handles rate limiting and anti-bot measures - πŸ’Ύ Outputs structured JSON data ### 🎯 Use Cases - πŸ“ˆ Real estate market analysis - 🏒 Property investment research - πŸ’° Price trend monitoring - πŸ—ΊοΈ Geographic market analysis - πŸ“Š Data aggregation for real estate platforms ### πŸ’‘ Input Parameters The actor accepts the following input parameters: - `searchUrls` (Required): Array of Funda.nl search URLs to scrape - `maxItems` (Optional): Maximum number of items to scrape - `proxyConfiguration` (Optional): Proxy settings for the scraper ### πŸ“ Output Format The actor outputs data in JSON format, including: - Property details (price, location, size) - Property features and amenities - Listing information - Images and media links - Agent contact information ### πŸ”¨ Usage 1. Input your Funda.nl or Fundainbusiness.nl search URL(s) 2. Configure optional parameters 3. Run the actor and collect the results ### πŸ’ͺ Limitations - Respects Funda.nl's or Fundainbusiness.nl's terms of service - Rate limiting applied to prevent blocking - Maximum of 10000 results per search URL #### Input Example 1 A full explanation of an input example in JSON. ```json { "searchUrls": ["https://www.funda.nl/en/zoeken/koop?selected_area=%5B%22bergen-li%22%5D&search_result=1"], "maxItems": 30, "proxyConfiguration": { "useApifyProxy": false, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ```` #### Output sample 1 The results will be wrapped into a dataset which you can always find in theΒ **Storage**Β tab. Here's an excerpt from the data you'd get if you apply the input parameters above: And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML. ```json [ { "highlight": {}, "agent": [ { "logo_type": "new", "relative_url": "/makelaar/13026-smedema-makelaars-en-taxateurs/", "is_primary": true, "logo_id": 141935042, "name": "Smedema Makelaars & Taxateurs", "association": "NVM", "id": 13026 } ], "number_of_bedrooms": 3, "address": { "country": "NL", "province": "Limburg", "wijk": "Nieuw-Bergen", "city": "Bergen (LI)", "neighbourhood": "Nieuw-Bergen Kern", "identifiers": [ "nl", "bergen-li/straat-siebengewaldseweg", "bergen-li", "gemeente-bergen-li", "provincie-limburg", "bergen-li/nieuw-bergen-kern", "bergen-li/wijk-nieuw-bergen", "5854pc", "5854", "regio-noord-limburg" ], "municipality": "Bergen (LI)", "is_bag_address": true, "house_number": "38", "postal_code": "5854PC", "street_name": "Siebengewaldseweg" }, "plot_area_range": { "gte": 456, "lte": 456 }, "blikvanger": { "enabled": false }, "object_type": "house", "energy_label": "A", "floor_area": [ 125 ], "floor_area_range": { "gte": 125, "lte": 125 }, "type": "single", "thumbnail_id": [ 199527498, 199527499, 199527500, 199527501, 199527503, 199527505, 199527509, 199527512, 199527514, 199527517, 199527520, 199527524, 199527527, 199527530, 199527533, 199527536, 199527538, 199527541, 199527542, 199527543, 199527546, 199527547, 199527548, 199527549, 199527550, 199527553, 199527556, 199527559, 199527562, 199527567, 199527569, 199527572, 199527575, 199527581, 199527584, 199527586, 199527588, 199527589, 199527590, 199527592, 199527594, 199527597, 199527600, 199527605, 199527602, 199527631 ], "offering_type": [ "buy" ], "price": { "selling_price": [ 499000 ], "selling_price_range": { "gte": 499000, "lte": 499000 }, "selling_price_type": "regular", "selling_price_condition": "kosten_koper" }, "plot_area": [ 456 ], "id": 7332972, "available_media_types": [ "floor_plan", "photo_360", "video" ], "publish_date": "2024-10-25T15:15:02.5130000", "object_detail_page_relative_url": "/detail/koop/bergen-li/huis-siebengewaldseweg-38/43787335/", "status": "none", "number_of_rooms": 7, "_index": "listings-wonen-searcher-alias-prod", "_id": "7332972", "_score": null, "sort": [ "basis", 59000, 7332972 ], "_click_id": 0, "placement": "listing_results_normal", "globalId": 7332972 }, ... ] ``` #### Input Example 2 A full explanation of an input example in JSON. ```json { "searchUrls": ["https://www.fundainbusiness.nl/alle-bedrijfsaanbod/heel-nederland/"], "maxItems": 30, "proxyConfiguration": { "useApifyProxy": false, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` #### Output sample 2 The results will be wrapped into a dataset which you can always find in theΒ **Storage**Β tab. Here's an excerpt from the data you'd get if you apply the input parameters above: And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML. ```json [ { "title": "Lilienthalplein 1, Stadskanaal", "listing_url": "https://www.fundainbusiness.nl/kantoor/stadskanaal/object-43067560-lilienthalplein-1/?navigateSource=resultlist", "price": [ "€ 319.000 k.k.", "€ 138 /mΒ²/jaar" ], "area": [ "226 mΒ²" ], "image_url": "https://cloud.funda.nl/valentina_media/212/123/903_720x480.jpg", "image_alt": "Lilienthalplein 1, Stadskanaal", "makelaar": "Van Beilen Makelaars", "makelaar_url": "https://www.fundainbusiness.nl/makelaar/9216-van-beilen-makelaars/", "listing_type": "regular", "scraped_at": "2025-06-19T03:10:30.864Z" }, ... ] ``` # Actor input Schema ## `searchUrls` (type: `array`): List of Funda.nl search result URLs to scrape ## `maxItems` (type: `integer`): Maximum number of items to scrape ## `proxyConfiguration` (type: `object`): Proxy settings for the crawler ## Actor input object example ```json { "searchUrls": [ "https://www.funda.nl/en/zoeken/koop?selected_area=%5B%22bergen-li%22%5D&search_result=1" ], "maxItems": 30, "proxyConfiguration": { "useApifyProxy": false, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("easyapi/funda-nl-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = {} # Run the Actor and wait for it to finish run = client.actor("easyapi/funda-nl-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call easyapi/funda-nl-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=easyapi/funda-nl-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Funda.nl Scraper 🏠", "description": "Scrape property listings from Funda.nl - Extract detailed real estate data including prices, locations, property features, and more. Perfect for real estate analysis and market research in the Netherlands.", "version": "0.0", "x-build-id": "8j0SE2dcPqocRG5Ut" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/easyapi~funda-nl-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-easyapi-funda-nl-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/easyapi~funda-nl-scraper/runs": { "post": { "operationId": "runs-sync-easyapi-funda-nl-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/easyapi~funda-nl-scraper/run-sync": { "post": { "operationId": "run-sync-easyapi-funda-nl-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchUrls" ], "properties": { "searchUrls": { "title": "Search URLs", "uniqueItems": true, "type": "array", "description": "List of Funda.nl search result URLs to scrape", "default": [ "https://www.funda.nl/en/zoeken/koop?selected_area=%5B%22bergen-li%22%5D&search_result=1" ], "items": { "type": "string" } }, "maxItems": { "title": "Maximum Items", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of items to scrape", "default": 30 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for the crawler", "default": { "useApifyProxy": false, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```