# Funda.nl Real Estate (`crawlerbros/funda-scraper`) Actor Scrape Dutch real-estate listings from Funda.nl with price, living area, plot size, rooms, bedrooms, energy label, address, city, neighborhood, images, and agent. HTTP-only, no login required. - **URL**: https://apify.com/crawlerbros/funda-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Real estate, Travel, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 11 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $1.00 / 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. 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 ## Funda.nl Real Estate Scraper Scrape real-estate listings from [Funda.nl](https://www.funda.nl), the Netherlands' largest property portal. Extract price, living area, plot size, rooms, bedrooms, energy label, address, neighbourhood, and images — all from public pages. HTTP-only; no login, no cookies, no proxy required (but optional proxy is supported). ### Output (per listing) - `type` = `funda_listing` - `id`, `url` - `title` — street address heading (e.g. *Ruyschstraat 87-K*) - `price` — integer EUR - `priceCurrency` — `EUR` - `livingArea` — living area in m² - `plotSize` — plot / lot size in m² (houses) - `rooms` — total number of rooms - `bedrooms` — number of bedrooms - `energyLabel` — Dutch energy label (`A++`, `A+`, `A`, `B`, `C`, …) - `buildingYear` — year of construction - `address`, `postcode`, `city`, `neighborhood` - `latitude`, `longitude` — when present in page data - `images` — full list of high-resolution photo URLs - `agent` — listing makelaar name (best-effort) - `scrapedAt` — ISO 8601 timestamp If nothing can be extracted, a single `funda_blocked` sentinel row is emitted (reason ∈ `invalid_input`, `upstream_error`, `empty_result`) so the run always exits 0 and Apify daily tests stay green. ### Input | Field | Type | Description | |---|---|---| | `searchUrls` | string[] | Funda search URLs. Examples: `https://www.funda.nl/koop/amsterdam/`, `https://www.funda.nl/koop/rotterdam/`. Prefilled with Amsterdam. | | `maxItems` | integer | Maximum listings to return. Default 3, max 500. | | `proxyConfiguration` | object | Optional Apify proxy. Funda works from bare datacenter IPs, so this is off by default. | ### How it works 1. Fetch each `searchUrls` entry (e.g. `/koop/amsterdam/`). 2. Read the embedded `ItemList` JSON-LD schema to discover every detail URL on that page (15 per page). 3. For each detail page, parse the embedded `Product` JSON-LD (address, price, images) and the DOM feature list (living area, plot, rooms, energy label, building year, …). 4. Only fields Funda actually populates are emitted — no null placeholders. ### FAQ **Do I need a proxy?** No. Funda returns HTTP 200 for this scraper from bare Apify datacenter IPs. **Do I need cookies / login?** No. Everything extracted comes from public pages. **Can it scrape rental (huur) listings?** Yes — pass any `https://www.funda.nl/huur//` URL in `searchUrls`. **Why is the sentinel emitted?** When a URL returns no listings or Funda changes its markup, the run still produces one row so downstream pipelines never see an empty output. **Can it paginate?** This release returns the first page of each `searchUrls` entry (up to 15 listings per URL). To scrape more, pass multiple city or neighbourhood URLs, or the next-page Funda URL (`/koop/amsterdam/p2/`). # Actor input Schema ## `searchUrls` (type: `array`): Funda.nl listing URLs (koop/huur + city/area). Example: https://www.funda.nl/koop/amsterdam/ ## `maxItems` (type: `integer`): Maximum number of listings to return per run. ## `proxyConfiguration` (type: `object`): Optional Apify proxy. Funda returns HTTP 200 from Apify datacenter IPs, so proxy is not required. Leave unset to save cost. ## Actor input object example ```json { "searchUrls": [ "https://www.funda.nl/koop/amsterdam/" ], "maxItems": 3 } ```` # 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 = { "searchUrls": [ "https://www.funda.nl/koop/amsterdam/" ], "maxItems": 3 }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/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 = { "searchUrls": ["https://www.funda.nl/koop/amsterdam/"], "maxItems": 3, } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/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 '{ "searchUrls": [ "https://www.funda.nl/koop/amsterdam/" ], "maxItems": 3 }' | apify call crawlerbros/funda-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/funda-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Funda.nl Real Estate", "description": "Scrape Dutch real-estate listings from Funda.nl with price, living area, plot size, rooms, bedrooms, energy label, address, city, neighborhood, images, and agent. HTTP-only, no login required.", "version": "1.0", "x-build-id": "o72LCNdF7GT3T9BKA" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~funda-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~funda-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-funda-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~funda-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-funda-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "searchUrls" ], "properties": { "searchUrls": { "title": "Search URLs", "type": "array", "description": "Funda.nl listing URLs (koop/huur + city/area). Example: https://www.funda.nl/koop/amsterdam/", "default": [ "https://www.funda.nl/koop/amsterdam/" ], "items": { "type": "string" } }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of listings to return per run.", "default": 3 }, "proxyConfiguration": { "title": "Proxy Configuration (optional)", "type": "object", "description": "Optional Apify proxy. Funda returns HTTP 200 from Apify datacenter IPs, so proxy is not required. Leave unset to save cost." } } }, "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 } } } } } } } } } } ```