# Funda Scraper - Netherlands Property Data (`benthepythondev/funda-scraper`) Actor

Scrape Funda (the Netherlands' #1 property portal), to buy or rent: address, price, area, rooms, estate agent, photos and listing URL. Search by Dutch city. Reliable via a stealth browser through residential proxies.

- **URL**: https://apify.com/benthepythondev/funda-scraper.md
- **Developed by:** [ben](https://apify.com/benthepythondev) (community)
- **Categories:** Real estate, Lead generation, Automation
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 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.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 — Netherlands Property Data

Scrape **Funda**, the Netherlands' #1 property portal, **to buy or rent** — and get clean, structured listings: price, object type, bedrooms, rooms, floor area, energy label, full location (city, neighbourhood, district, province, postcode), **estate agent name and link**, photos and the listing URL. Search by any Dutch city.

Built for property research, **makelaar (agent) lead generation**, market analysis and price monitoring across the Netherlands. Export to JSON/CSV/Excel, run on a schedule, call via API, or connect to Make, Zapier or n8n.

### 🔎 What is the Funda Scraper?

Give it Dutch cities (e.g. "amsterdam", "rotterdam") and choose buy (*koop*) or rent (*huur*), and it returns matching listings as structured rows — paginated to your requested limit. Perfect for building a clean NL property dataset or a list of active listings and the agents behind them.

#### What data does it extract?

- **Price** (and price condition, e.g. *kosten koper*) in EUR
- **Object type** (apartment, house…) and **construction type**
- **Bedrooms**, **rooms** and **floor area** (m²)
- **Energy label**
- **Location**: city, neighbourhood, district (*wijk*), municipality, province, **postcode**
- **Estate agent** (*makelaar*) name, association (e.g. NVM) and profile link
- **Photo count**, publish date and listing URL

### ⬇️ Input

| Field | Type | Description |
|-------|------|-------------|
| `cities` | array | Dutch city names, e.g. `amsterdam`. |
| `listingType` | string | `koop` (buy) or `huur` (rent). |
| `maxResults` | integer | Max listings per city. Default `50`. |

#### Example input

```json
{
  "cities": ["amsterdam", "rotterdam"],
  "listingType": "koop",
  "maxResults": 100
}
````

### ⬆️ Output

One record per listing:

```json
{
  "id": 8064870,
  "url": "https://www.funda.nl/detail/koop/amsterdam/appartement-ennemaborg-129/44419233/",
  "offering_type": "buy",
  "object_type": "apartment",
  "construction_type": "resale",
  "price": 359000,
  "price_currency": "EUR",
  "price_condition": "kosten_koper",
  "bedrooms": 1,
  "rooms": 2,
  "floor_area_m2": 36,
  "energy_label": "C",
  "city": "Amsterdam",
  "neighbourhood": "Gelderlandpleinbuurt",
  "district": "Buitenveldert-West",
  "municipality": "Amsterdam",
  "province": "Noord-Holland",
  "postcode": "1082SP",
  "agent": "FRIS Woningmakelaars Amsterdam",
  "agent_association": "NVM",
  "agent_url": "https://www.funda.nl/makelaar/24122-fris-woningmakelaars-amsterdam/",
  "photo_count": 23,
  "publish_date": "2026-06-29T14:08:36+02:00",
  "status": "none",
  "query": "amsterdam"
}
```

### 💡 Use cases

- 🎯 **Makelaar lead generation** — build a list of agents and their listings.
- 🏠 **Market research** — analyze asking prices by city, neighbourhood and type.
- 📈 **Price monitoring** — schedule runs and track the market over time.
- 🤖 **Automation** — push new listings to Slack/Sheets via Make/Zapier/n8n.

### ❓ FAQ

**Do I need an API key or login?** No — just provide Dutch cities.

**Can I scrape rentals?** Yes — set `listingType` to `huur`.

**Do I get the agent (makelaar)?** Yes — name, association and profile link.

**Do I get the postcode and neighbourhood?** Yes — full location detail.

**Is the energy label included?** Yes — where Funda lists it.

**How many listings can I get?** Set `maxResults`; it paginates automatically.

**How does pricing work?** Pay per listing returned. No subscription.

**Is it legal?** It collects publicly available listing data. Scrape responsibly, respect robots/ToS, and follow EU/NL GDPR for any personal data.

### ⚙️ How it works

Funda protects its data behind a bot challenge, so this actor uses a privacy-hardened stealth browser through NL residential IPs to load the site like a real visitor, then reads Funda's own embedded listing data — returning clean, structured JSON instead of fragile HTML. It paginates automatically and recovers from transient browser hiccups. The same input shape works for a quick check or a deep multi-city pull — only `maxResults` changes.

### 👥 Who uses Dutch property data?

Property data is valuable to investors, makelaars, proptech teams and analysts. An investor compares asking prices across neighbourhoods; an agency monitors competitor stock and the agents behind it; a proptech app enriches its map with fresh inventory; an analyst tracks supply and prices. Because every record is plain JSON with consistent fields, it drops straight into a spreadsheet, CRM, BI tool or LLM pipeline with no custom parsing.

### 📤 Export, schedule & integrate

Every run is saved to a dataset you can export to **JSON, CSV, Excel, XML or RSS**, or pull through the **Apify API**. Wire it into **Make, Zapier, n8n, Google Sheets, Slack** or your **own database**, run it on a **schedule** to catch new listings, and call it from AI agents through the **Apify MCP server**.

### 💡 Tips for best results

- Run *koop* and *huur* separately to keep two clean datasets.
- Schedule a daily run and diff by `id` for a new-listings alert.
- The agent name + profile link make every listing a warm lead.
- Combine several cities in one run to cover a whole region.

### ❓ More FAQ

**How fresh is the data?** It is fetched live on each run.

**Can I run it automatically?** Yes — use Apify Schedules (cron).

**Are duplicates removed?** Listings are de-duplicated within each run.

**Which export formats?** JSON, CSV, Excel, XML and RSS, plus the Apify API.

**Can AI agents use it?** Yes — via the Apify API and MCP server.

### 🔗 You might also like

- [Rightmove Scraper](https://apify.com/benthepythondev/rightmove-scraper) — UK property data.
- [Immobiliare.it Scraper](https://apify.com/benthepythondev/immobiliare-scraper) — Italian property data.
- [Real Estate Agent Lead Scraper](https://apify.com/benthepythondev/real-estate-agent-lead-scraper) — agent contact leads.

***

**Keywords:** funda scraper, funda api, netherlands property data, dutch real estate, funda listings, makelaar leads, property scraper netherlands, huizen te koop, woningen, funda data, nl property market, real estate netherlands, koopwoningen, huurwoningen

# Actor input Schema

## `cities` (type: `array`):

Dutch city names, e.g. 'amsterdam', 'rotterdam'.

## `listingType` (type: `string`):

koop (buy) or huur (rent).

## `maxResults` (type: `integer`):

Maximum listings per city.

## Actor input object example

```json
{
  "cities": [
    "amsterdam"
  ],
  "listingType": "koop",
  "maxResults": 5
}
```

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "cities": [
        "amsterdam"
    ],
    "listingType": "koop",
    "maxResults": 5
};

// Run the Actor and wait for it to finish
const run = await client.actor("benthepythondev/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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "cities": ["amsterdam"],
    "listingType": "koop",
    "maxResults": 5,
}

# Run the Actor and wait for it to finish
run = client.actor("benthepythondev/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 '{
  "cities": [
    "amsterdam"
  ],
  "listingType": "koop",
  "maxResults": 5
}' |
apify call benthepythondev/funda-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=benthepythondev/funda-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Funda Scraper - Netherlands Property Data",
        "description": "Scrape Funda (the Netherlands' #1 property portal), to buy or rent: address, price, area, rooms, estate agent, photos and listing URL. Search by Dutch city. Reliable via a stealth browser through residential proxies.",
        "version": "1.0",
        "x-build-id": "GS5oH4x4Zg8uGhcmQ"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/benthepythondev~funda-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-benthepythondev-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/benthepythondev~funda-scraper/runs": {
            "post": {
                "operationId": "runs-sync-benthepythondev-funda-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/benthepythondev~funda-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-benthepythondev-funda-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                    "cities": {
                        "title": "Cities",
                        "type": "array",
                        "description": "Dutch city names, e.g. 'amsterdam', 'rotterdam'.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "listingType": {
                        "title": "Buy or rent",
                        "enum": [
                            "koop",
                            "huur"
                        ],
                        "type": "string",
                        "description": "koop (buy) or huur (rent).",
                        "default": "koop"
                    },
                    "maxResults": {
                        "title": "Max results per city",
                        "minimum": 1,
                        "maximum": 1000,
                        "type": "integer",
                        "description": "Maximum listings per city.",
                        "default": 50
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```