# Funda Netherlands Property Listings & Agent Scraper (`scrapers_lat/funda-netherlands-scraper`) Actor
Scrape Dutch property listings from across the Netherlands with address, asking price, property type, living and plot area, rooms, bedrooms, energy label, year built, coordinates, photos, description and the listing agent name, contact person, office, phone and email. Export to JSON, CSV or Excel.
- **URL**: https://apify.com/scrapers\_lat/funda-netherlands-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Real estate, Lead generation, Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $17.00 / 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.
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/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 Netherlands Property Listings & Agent Scraper
> Collect Dutch property listings from across the Netherlands with full address, asking price, living and plot area, rooms, energy label, year built, photos and the listing agent's name, office, phone and email. Clean structured data for lead generation, market research and real estate analytics.
**๐ฅ [Input](https://apify.com/scrapers_lat/funda-netherlands-scraper/input-schema) ยท ๐ค [Output](https://apify.com/scrapers_lat/funda-netherlands-scraper/output-schema) ยท ๐ฐ [Pricing](https://apify.com/scrapers_lat/funda-netherlands-scraper/pricing) ยท โถ๏ธ [Examples](https://apify.com/scrapers_lat/funda-netherlands-scraper/examples)**
Full listings price, area, rooms, energy
Agent contacts name, office, phone, email
JSON / CSV / Excel output formats
### What you get
Each record is one property listing, ready for a CRM, a dashboard or a spreadsheet:
- **street**, **city**, **postcode**, **neighbourhood**, **municipality**, **province**: full address
- **price**, **priceType**, **priceCurrency**: asking price for sale or rent
- **propertyType**, **listingType**, **constructionType**, **status**: what and how it is offered
- **livingAreaM2**, **plotAreaM2**, **rooms**, **bedrooms**: size and layout
- **energyLabel**, **yearBuilt**: energy and construction
- **latitude**, **longitude**: exact map coordinates
- **description**: the full listing text
- **agentName**, **agentContactName**, **agentOffice**, **agentAssociation**: the listing agent
- **agentPhone**, **agentEmail**, **agentWebsite**, **agentUrl**: agent contact details
- **imageUrl** and **photos**: main photo plus the full gallery
- **listingUrl**, **id**, **publishDate**, **observedAt**: reference and freshness
### Who is it for
| Use case | Who benefits |
|---|---|
| Lead generation | Agencies and service providers reaching listing agents directly |
| Market research | Analysts tracking prices, supply and energy labels by area |
| Investment | Buyers and funds screening properties by size, price and location |
| Dashboards | Builders feeding live listings and coordinates into their own apps |
### How to use it
1. Add one or more **areas or cities** to search (for example `amsterdam`, `utrecht`, `rotterdam`).
2. Choose **Listing Type** (buy or rent) and optionally a **price range**.
3. Set **Max Listings** and run. Export as JSON, CSV or Excel, or pull it through the Apify API.
You are only charged for real listings that are returned. Empty runs cost nothing.
### Frequently Asked Questions
**Does it include the listing agent's contact details?**
Yes. Each listing carries the agent name, office, association, phone, email and website where the agent publishes them.
**Can I search several cities in one run?**
Yes. Add as many areas as you like to the list and one run covers them all, tagging each record with the area that produced it.
**Can I filter by price?**
Yes. Set a minimum and/or maximum price in euros, and pick buy or rent.
**How fresh is the data?**
Every listing is read live at run time, so each record reflects what is published at the moment of the run (see observedAt).
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for public platforms: finance, news, real estate, jobs, e-commerce and government data. Browse the full catalog or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
---
> This actor is an independent tool and has no affiliation with Funda. It only accesses publicly available listing data. Use the results in accordance with the source's terms.
# Actor input Schema
## `maxListings` (type: `integer`):
Maximum number of property listings to collect across all searches. Optional.
## `withDetails` (type: `boolean`):
When enabled, each listing is enriched with year built, full description and exact map coordinates from its detail page. Disable for a faster, list-only run.
## `searchQueries` (type: `array`):
One or more Dutch cities, towns or areas to search (for example 'amsterdam', 'utrecht', 'den-haag', 'rotterdam'). One run covers every area in the list.
## `listingType` (type: `string`):
Whether to scrape properties for sale (buy) or for rent.
## `priceMin` (type: `integer`):
Optional. Only return listings at or above this price in euros.
## `priceMax` (type: `integer`):
Optional. Only return listings at or below this price in euros.
## Actor input object example
```json
{
"maxListings": 30,
"withDetails": true,
"searchQueries": [
"amsterdam"
],
"listingType": "buy"
}
````
# Actor output Schema
## `results` (type: `string`):
No description
# 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 = {
"maxListings": 30,
"searchQueries": [
"amsterdam"
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/funda-netherlands-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`๐พ 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);
});
// ๐ Want to learn more ๐? Go to โ 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 = {
"maxListings": 30,
"searchQueries": ["amsterdam"],
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/funda-netherlands-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("๐พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# ๐ Want to learn more ๐? Go to โ https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"maxListings": 30,
"searchQueries": [
"amsterdam"
]
}' |
apify call scrapers_lat/funda-netherlands-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/funda-netherlands-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Funda Netherlands Property Listings & Agent Scraper",
"description": "Scrape Dutch property listings from across the Netherlands with address, asking price, property type, living and plot area, rooms, bedrooms, energy label, year built, coordinates, photos, description and the listing agent name, contact person, office, phone and email. Export to JSON, CSV or Excel.",
"version": "0.1",
"x-build-id": "5q3fNZb85jugT7PBL"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~funda-netherlands-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-funda-netherlands-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~funda-netherlands-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-funda-netherlands-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~funda-netherlands-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-funda-netherlands-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"maxListings": {
"title": "Max Listings To Scrape",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Maximum number of property listings to collect across all searches. Optional."
},
"withDetails": {
"title": "Fetch Full Listing Details",
"type": "boolean",
"description": "When enabled, each listing is enriched with year built, full description and exact map coordinates from its detail page. Disable for a faster, list-only run.",
"default": true
},
"searchQueries": {
"title": "Areas / Cities To Search",
"type": "array",
"description": "One or more Dutch cities, towns or areas to search (for example 'amsterdam', 'utrecht', 'den-haag', 'rotterdam'). One run covers every area in the list.",
"items": {
"type": "string"
}
},
"listingType": {
"title": "Listing Type",
"enum": [
"buy",
"rent"
],
"type": "string",
"description": "Whether to scrape properties for sale (buy) or for rent.",
"default": "buy"
},
"priceMin": {
"title": "Minimum Price (EUR)",
"minimum": 0,
"type": "integer",
"description": "Optional. Only return listings at or above this price in euros."
},
"priceMax": {
"title": "Maximum Price (EUR)",
"minimum": 0,
"type": "integer",
"description": "Optional. Only return listings at or below this price in euros."
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```