# Funda Scraper — Dutch Real Estate Listings & Prices (`studio-amba/funda-scraper`) Actor Scrape real estate listings from Funda.nl — the Netherlands' #1 property portal. Get prices, addresses, property details, photos, energy labels, and agent info for properties for sale or rent. No login or cookies required. - **URL**: https://apify.com/studio-amba/funda-scraper.md - **Developed by:** [Studio Amba](https://apify.com/studio-amba) (community) - **Categories:** Real estate - **Stats:** 1 total users, 0 monthly users, 0.0% 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 ## Funda Scraper Scrape real estate listings from Funda.nl — the Netherlands' largest property portal with 93% brand awareness. No login or cookies required. ### Why use this actor? Real estate investors, analysts, and proptech companies need reliable Dutch property data. This actor extracts structured listing data from Funda including prices, addresses, property specs, energy labels, and agent info — ready for market analysis, price comparison, or portfolio monitoring. ### Input | Field | Type | Required | Description | |-------|------|----------|-------------| | `listingType` | String | No | `koop` (buy, default) or `huur` (rent) | | `city` | String | No | City name in Dutch (e.g. `amsterdam`, `rotterdam`) | | `query` | String | No | Free text search (street, neighborhood) | | `propertyType` | String | No | `house`, `apartment`, `parking`, or `land` | | `minPrice` | Integer | No | Minimum price in EUR | | `maxPrice` | Integer | No | Maximum price in EUR | | `minSurface` | Integer | No | Minimum living area in m2 | | `maxSurface` | Integer | No | Maximum living area in m2 | | `maxResults` | Integer | No | Maximum results to return (default: 100) | | `proxyConfiguration` | Object | No | Proxy settings (residential proxy recommended) | ### Output Each result contains: | Field | Type | Example | |-------|------|---------| | `title` | String | `"Keizersgracht 100"` | | `price` | Number | `695000` | | `currency` | String | `"EUR"` | | `listingType` | String | `"sale"` or `"rent"` | | `propertyType` | String | `"appartement"` | | `address` | String | `"Keizersgracht 100"` | | `city` | String | `"Amsterdam"` | | `postalCode` | String | `"1015 AA"` | | `latitude` | Number | `52.3676` | | `longitude` | Number | `4.8846` | | `bedrooms` | Number | `3` | | `bathrooms` | Number | `1` | | `surface` | Number | `95` | | `landSurface` | Number | `null` | | `buildYear` | Number | `1875` | | `energyLabel` | String | `"C"` | | `sellerName` | String | `"Broersma Makelaardij"` | | `sellerUrl` | String | Agent profile URL | | `imageUrl` | String | Primary listing photo URL | | `imageUrls` | Array | All listing photo URLs | | `url` | String | Full listing URL on Funda | | `scrapedAt` | String | `"2026-04-06T12:00:00.000Z"` | ### Example output ```json { "title": "Keizersgracht 100", "price": 695000, "currency": "EUR", "listingType": "sale", "propertyType": "appartement", "address": "Keizersgracht 100", "city": "Amsterdam", "postalCode": "1015 AA", "latitude": 52.3676, "longitude": 4.8846, "bedrooms": 3, "bathrooms": 1, "surface": 95, "landSurface": null, "buildYear": 1875, "energyLabel": "C", "sellerName": "Broersma Makelaardij", "sellerUrl": "https://www.funda.nl/makelaars/amsterdam/12345/", "imageUrl": "https://cloud.funda.nl/valentina_media/12345.jpg", "imageUrls": [ "https://cloud.funda.nl/valentina_media/12345.jpg", "https://cloud.funda.nl/valentina_media/12346.jpg" ], "url": "https://www.funda.nl/detail/koop/amsterdam/appartement-keizersgracht-100/12345/", "scrapedAt": "2026-04-06T12:00:00.000Z" } ```` ### Cost estimate This actor uses PlaywrightCrawler with residential proxy due to Funda's bot protection. Expect approximately **5-10 compute units per 100 results**. At standard Apify pricing, that's roughly **$0.25-0.50 per 100 listings**. ### Limitations - Funda uses reCAPTCHA bot protection — residential proxies are strongly recommended - Some requests may be blocked; the actor retries automatically with fresh browser sessions - Data is scraped from the public website and may change without notice - GPS coordinates are only available when the listing includes a map - Detail page enrichment increases accuracy but also increases compute cost # Actor input Schema ## `listingType` (type: `string`): Filter by buy (koop) or rent (huur). ## `city` (type: `string`): City name in Dutch (e.g. 'amsterdam', 'rotterdam', 'utrecht'). Leave empty for all of Netherlands. ## `query` (type: `string`): Free text search query (e.g. street name, neighborhood). ## `propertyType` (type: `string`): Filter by property type. ## `minPrice` (type: `integer`): Minimum price filter. ## `maxPrice` (type: `integer`): Maximum price filter. ## `minSurface` (type: `integer`): Minimum living area in square meters. ## `maxSurface` (type: `integer`): Maximum living area in square meters. ## `maxResults` (type: `integer`): Maximum number of listings to return. ## `proxyConfiguration` (type: `object`): Proxy settings. Residential proxies recommended — Funda uses reCAPTCHA bot protection. ## Actor input object example ```json { "listingType": "koop", "city": "", "query": "", "propertyType": "", "maxResults": 100 } ``` # 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("studio-amba/funda-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 = {} # Run the Actor and wait for it to finish run = client.actor("studio-amba/funda-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 '{}' | apify call studio-amba/funda-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=studio-amba/funda-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Funda Scraper — Dutch Real Estate Listings & Prices", "description": "Scrape real estate listings from Funda.nl — the Netherlands' #1 property portal. Get prices, addresses, property details, photos, energy labels, and agent info for properties for sale or rent. No login or cookies required.", "version": "0.1", "x-build-id": "2xIu2fvWYOICxEPjI" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/studio-amba~funda-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-studio-amba-funda-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/studio-amba~funda-scraper/runs": { "post": { "operationId": "runs-sync-studio-amba-funda-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/studio-amba~funda-scraper/run-sync": { "post": { "operationId": "run-sync-studio-amba-funda-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "listingType": { "title": "Listing Type", "enum": [ "koop", "huur" ], "type": "string", "description": "Filter by buy (koop) or rent (huur).", "default": "koop" }, "city": { "title": "City", "type": "string", "description": "City name in Dutch (e.g. 'amsterdam', 'rotterdam', 'utrecht'). Leave empty for all of Netherlands.", "default": "" }, "query": { "title": "Search Query", "type": "string", "description": "Free text search query (e.g. street name, neighborhood).", "default": "" }, "propertyType": { "title": "Property Type", "enum": [ "", "house", "apartment", "parking", "land" ], "type": "string", "description": "Filter by property type.", "default": "" }, "minPrice": { "title": "Minimum Price (EUR)", "minimum": 0, "type": "integer", "description": "Minimum price filter." }, "maxPrice": { "title": "Maximum Price (EUR)", "minimum": 0, "type": "integer", "description": "Maximum price filter." }, "minSurface": { "title": "Minimum Surface (m²)", "minimum": 0, "type": "integer", "description": "Minimum living area in square meters." }, "maxSurface": { "title": "Maximum Surface (m²)", "minimum": 0, "type": "integer", "description": "Maximum living area in square meters." }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of listings to return.", "default": 100 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Residential proxies recommended — Funda uses reCAPTCHA bot protection." } } }, "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 } } } } } } } } } } ```