# Funda Rentals - $ 0,35 (`memorable_alphabet/funda-rentals`) Actor Fetch Dutch private rental listings from Funda, the Netherlands' largest real estate platform. Filter by city, radius, price, rooms, surface area, and more. - **URL**: https://apify.com/memorable\_alphabet/funda-rentals.md - **Developed by:** [Mathieu](https://apify.com/memorable_alphabet) (community) - **Categories:** Automation, Real estate - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.35 / 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. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 Rentals Fetch Dutch private rental listings from Funda, the Netherlands' largest real estate platform. Data is updated continuously. ### How it works 1. **Input** — you set filters: city, radius, price range, minimum rooms/surface, listed-since date, sort order, and a result cap. 2. **Lookup** — the actor queries a continuously updated dataset of Funda rental listings, filtered to your criteria. 3. **Pagination** — results are fetched page by page (200 listings per page) until your `maxResults` cap is reached or no listings remain. 4. **Output** — every matching listing is pushed to the run's dataset as one row, in full (see all fields below), exportable as JSON, CSV, Excel, or via the Apify API. ### Output fields | Field | Description | |---|---| | `id` | Internal listing ID | | `source` | Source key, always `funda` | | `sourceLabel` | Human-readable source name, always `Funda` | | `url` | Link to the listing on Funda | | `imageUrl` | Listing photo | | `street` | Street name and number | | `postcode` | Postal code | | `city` | City | | `surfaceM2` | Living area in m² | | `rooms` | Number of rooms | | `availableFrom` | Availability date as text, or `null` if unknown | | `priceEurCents` | Monthly rent in euro cents | | `priceText` | Monthly rent as text, e.g. `€ 1.500` | | `agent` | Name of the real estate agent | | `agentWebsite` | The agent's own website, or `null` if not (yet) resolved | | `agentPhone` | The agent's phone number, or `null` if not (yet) resolved | | `neighbourhoodScore` | Leefbaarometer 3.0 livability score for the property's postcode area, or `null` if unknown. `{ score, class, year, dimensions }` — `score` is the raw deviation score, `class` is one of 9 official classes (`zeer_onvoldoende` ... `uitstekend`), `dimensions` breaks the score down into `fys`/`onv`/`soc`/`vrz`/`won` (physical environment, safety, social cohesion, amenities, housing stock), each `null` if suppressed for that area | | `lat` / `lon` | Coordinates | | `firstSeenAt` | ISO 8601 datetime when the property was first seen online | | `scrapedAt` | ISO 8601 datetime when the listing was last checked | | `sources` | Array of `{ id, source, source_label, url, makelaar }` for every portal this same property was also found on (may be just this one entry) | `agentWebsite`/`agentPhone` are not yet available for all listings, so recently-added agents may briefly show `null` for both. ### Filters | Input | Description | |---|---| | `city` | Filter by city name | | `radiusKm` | Search radius in km around the city (default: 0 = city boundaries only) | | `listedSince` | Only return listings first seen on or after this date, e.g. `2026-01-01` (based on `firstSeenAt`) | | `minPrice` / `maxPrice` | Monthly rent in € | | `minRooms` | Minimum number of rooms | | `minSurface` | Minimum surface area in m² | | `sort` | Sort order: newest/oldest first, or price low-to-high/high-to-low | | `maxResults` | Maximum number of results (0 = unlimited) | # Actor input Schema ## `city` (type: `string`): Filter by city name. Examples: Amsterdam, Utrecht, Rotterdam. Leave empty for all cities. ## `radiusKm` (type: `integer`): Search radius in km around the city. 0 = within city boundaries only. Requires City to be set. ## `minPrice` (type: `integer`): Minimum monthly rent in euros. ## `maxPrice` (type: `integer`): Maximum monthly rent in euros. ## `minRooms` (type: `integer`): Minimum number of rooms. ## `minSurface` (type: `integer`): Minimum living area in square metres. ## `listedSince` (type: `string`): Only return listings first seen on or after this date (based on firstSeenAt). Format: YYYY-MM-DD, e.g. 2026-01-01. ## `sort` (type: `string`): Sort results. ## `maxResults` (type: `integer`): Maximum number of listings to return. Set to 0 for unlimited. ## Actor input object example ```json { "radiusKm": 0, "sort": "listed_desc", "maxResults": 1000 } ```` # Actor output Schema ## `results` (type: `string`): All matching rental listings as a dataset. Each item contains id, source, sourceLabel, url, imageUrl, street, postcode, city, propertyType, constructionType, surfaceM2, rooms, availableFrom, priceEurCents, priceText, reactions, agent, agentWebsite, agentPhone, socialHousing, assignmentType, isMiddenhuur, isHousingAssociation, neighbourhoodScore, lat, lon, firstSeenAt, scrapedAt, and sources. # 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("memorable_alphabet/funda-rentals").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("memorable_alphabet/funda-rentals").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 memorable_alphabet/funda-rentals --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=memorable_alphabet/funda-rentals", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Funda Rentals - $ 0,35", "description": "Fetch Dutch private rental listings from Funda, the Netherlands' largest real estate platform. Filter by city, radius, price, rooms, surface area, and more.", "version": "0.1", "x-build-id": "L3OJEFjrlDupfFBS4" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/memorable_alphabet~funda-rentals/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-memorable_alphabet-funda-rentals", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/memorable_alphabet~funda-rentals/runs": { "post": { "operationId": "runs-sync-memorable_alphabet-funda-rentals", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/memorable_alphabet~funda-rentals/run-sync": { "post": { "operationId": "run-sync-memorable_alphabet-funda-rentals", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "city": { "title": "City", "type": "string", "description": "Filter by city name. Examples: Amsterdam, Utrecht, Rotterdam. Leave empty for all cities." }, "radiusKm": { "title": "Radius (km)", "minimum": 0, "type": "integer", "description": "Search radius in km around the city. 0 = within city boundaries only. Requires City to be set.", "default": 0 }, "minPrice": { "title": "Min. rent (€/month)", "minimum": 0, "type": "integer", "description": "Minimum monthly rent in euros." }, "maxPrice": { "title": "Max. rent (€/month)", "minimum": 0, "type": "integer", "description": "Maximum monthly rent in euros." }, "minRooms": { "title": "Min. rooms", "minimum": 1, "type": "integer", "description": "Minimum number of rooms." }, "minSurface": { "title": "Min. surface area (m²)", "minimum": 1, "type": "integer", "description": "Minimum living area in square metres." }, "listedSince": { "title": "Listed since", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "type": "string", "description": "Only return listings first seen on or after this date (based on firstSeenAt). Format: YYYY-MM-DD, e.g. 2026-01-01." }, "sort": { "title": "Sort", "enum": [ "listed_desc", "listed_asc", "price_asc", "price_desc" ], "type": "string", "description": "Sort results.", "default": "listed_desc" }, "maxResults": { "title": "Max. results", "minimum": 0, "type": "integer", "description": "Maximum number of listings to return. Set to 0 for unlimited.", "default": 1000 } } }, "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 } } } } } } } } } } ```