# ImmobilienScout24 Scraper - Real Estate Germany (`igolaizola/immobilienscout24-scraper`) Actor

Scrape ImmoScout24 listings in Germany for buy and rent. Filter by location, property type, price, rooms, size, energy class and more. Export clean JSON or CSV for market research, analytics, lead generation, and real estate monitoring.

- **URL**: https://apify.com/igolaizola/immobilienscout24-scraper.md
- **Developed by:** [Iñigo Garcia Olaizola](https://apify.com/igolaizola) (community)
- **Categories:** Real estate, Lead generation, Travel
- **Stats:** 98 total users, 20 monthly users, 99.7% runs succeeded, 2 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.70 / 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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Immobilienscout24 Scraper – Germany Real Estate Listings

### ✅ What does this actor do?

The **Immobilienscout24 Scraper** extracts **property listings in Germany** from [immobilienscout24.de](https://immobilienscout24.de) and delivers clean JSON or CSV data for **buy** and **rent** markets.
It is ideal for market research, price tracking, lead generation, and competitive analysis.

You can search by city, district, postcode, geopath, or a latitude/longitude radius and filter by **property type**, **price**, **rooms**, **living space**, **plot size**, **energy class**, and more.
Enable **fetchDetails** to add a full listing detail payload per property.

### 🏠 Use cases

- Track **apartment prices** across German cities
- Monitor **new listings** by property type (house, apartment, plot, garage)
- Build datasets for **investment analysis** or valuation models
- Generate **lead lists** for agents and brokers

### 🚀 How to use

1. Set a **location** (e.g., `Berlin`) or provide **latitude** and **longitude**.
2. Choose an **operation**: `buy` or `rent`.
3. Select a **propertyType** (as shown in the Immobilienscout24 app UI).
4. Add filters if needed and run the actor.

### 🧾 Input parameters

| Parameter                                     | Type    | Default     | Description                                                                                                                                   |
| --------------------------------------------- | ------- | ----------- | --------------------------------------------------------------------------------------------------------------------------------------------- |
| `maxItems`                                    | integer | `10`        | Maximum number of listings to scrape.                                                                                                         |
| `language`                                    | string  | `en`        | Response language sent to the API: `en` (English) or `de` (German).                                                                           |
| `properties`                                 | array   |             | List of Immoscout24 property IDs to fetch directly. When set, `location` and all filters are ignored. Each result includes `_details`.        |
| `location`                                    | string  |             | City, district, postcode, or geopath. Not needed when coordinates are provided.                                                                |
| `latitude`                                    | number  |             | Latitude of the coordinate search center. Must be provided with `longitude`.                                                                   |
| `longitude`                                   | number  |             | Longitude of the coordinate search center. Must be provided with `latitude`.                                                                   |
| `radiusKm`                                    | integer | `20`        | Radius in km for coordinate searches and named locations that resolve to a radius search.                                                       |
| `operation`                                   | string  | `buy`       | `buy` or `rent`.                                                                                                                              |
| `propertyType`                                | string  | `house`     | Buy: `apartment`, `house`, `plot`, `garage`, `solid-prefab`. Rent: `apartment`, `house`, `plot`, `temporary-living`, `shared-flat`, `garage`. |
| `sortBy`                                      | string  | `standard`  | Sorting value used by the source.                                                                                                             |
| `fetchDetails`                                | boolean | `false`     | Fetches the expose detail for each listing and stores it under `_details` (slower).                                                           |
| `apartmentTypes`                              | array   |             | Apartment filters (e.g. `loft`, `penthouse`, `groundfloor`).                                                                                  |
| `buildingTypes`                               | array   |             | Building filters (e.g. `villa`, `bungalow`, `terracehouse`).                                                                                  |
| `minRooms` / `maxRooms`                       | number  |             | Room range.                                                                                                                                   |
| `minPrice` / `maxPrice`                       | integer |             | Price range.                                                                                                                                  |
| `minLivingSpace` / `maxLivingSpace`           | integer |             | Living space range in m2.                                                                                                                     |
| `minGround` / `maxGround`                     | integer |             | Plot/ground size range in m2.                                                                                                                 |
| `minConstructionYear` / `maxConstructionYear` | integer |             | Construction year range.                                                                                                                      |
| `energyEfficiencyClasses`                     | array   |             | Energy classes (e.g. `a_plus`, `a`, `b`).                                                                                                     |
| `equipment`                                   | array   |             | Equipment filters (e.g. `parking`, `balcony`).                                                                                                |
| `publishedAfter`                              | string  |             | Date (`YYYY-MM-DD`) to return newer listings only.                                                                                            |

#### Example input

```json
{
  "maxItems": 60,
  "language": "de",
  "location": "Berlin",
  "radiusKm": 20,
  "operation": "buy",
  "propertyType": "apartment",
  "minRooms": 2,
  "maxRooms": 5,
  "minPrice": 250000,
  "maxPrice": 900000,
  "minLivingSpace": 60,
  "energyEfficiencyClasses": ["a_plus", "a", "b"],
  "equipment": ["balcony"],
  "fetchDetails": false
}
```

#### Example input (by coordinates)

```json
{
  "maxItems": 20,
  "latitude": 52.52,
  "longitude": 13.405,
  "radiusKm": 10,
  "operation": "buy",
  "propertyType": "apartment",
  "fetchDetails": false
}
```

#### Example input (by property IDs)

```json
{
  "maxItems": 3,
  "properties": ["157698146", "161713041", "161263254"]
}
```

### 📊 Output

Each dataset item is a listing object with the most relevant fields exposed at the root. Typical fields include:

- `id`, `title`, `realEstateType`
- `address.line` and coordinates (`lat`, `lon`)
- `titlePicture` and `pictures`
- `price`, `livingSpace`, `rooms` (parsed from listing attributes)
- `energyEfficiencyClass`, `fairPrice`, `tags`, `realtor`

If `fetchDetails: true`, each item also contains `_details` with the full expose response.

### ⚠️ Notes

- `fetchDetails` adds **1 extra request per listing**, making runs slower and more expensive.

# Actor input Schema

## `maxItems` (type: `integer`):

Maximum number of properties to scrape

## `language` (type: `string`):

Language used by the Immobilienscout24 API for localized response fields.

## `location` (type: `string`):

Named location to search. Ignored when latitude and longitude are provided.

## `latitude` (type: `number`):

Latitude of the coordinate search center.

## `longitude` (type: `number`):

Longitude of the coordinate search center.

## `radiusKm` (type: `integer`):

Search radius in kilometers for coordinate searches and named locations that resolve to a radius search.

## `properties` (type: `array`):

List of Immoscout24 property IDs to fetch directly. When set, location and all filters are ignored. Each result will include '\_details'.

## `operation` (type: `string`):

Choose buy or rent

## `propertyType` (type: `string`):

Type shown in the app UI; mapped to the API automatically

## `sortBy` (type: `string`):

Sorting mode (e.g. standard)

## `fetchDetails` (type: `boolean`):

Fetch detailed data per listing and store it under \_details

## `apartmentTypes` (type: `array`):

Apartment types filter

## `buildingTypes` (type: `array`):

Building types filter

## `minRooms` (type: `integer`):

Minimum number of rooms

## `maxRooms` (type: `integer`):

Maximum number of rooms

## `minPrice` (type: `integer`):

Minimum price

## `maxPrice` (type: `integer`):

Maximum price

## `minLivingSpace` (type: `integer`):

Minimum living space in m2

## `maxLivingSpace` (type: `integer`):

Maximum living space in m2

## `minGround` (type: `integer`):

Minimum ground size in m2

## `maxGround` (type: `integer`):

Maximum ground size in m2

## `minConstructionYear` (type: `integer`):

Minimum construction year

## `maxConstructionYear` (type: `integer`):

Maximum construction year

## `energyEfficiencyClasses` (type: `array`):

List of energy efficiency classes (e.g. a_plus, a, b)

## `equipment` (type: `array`):

Equipment filters

## `publishedAfter` (type: `string`):

Only return listings published after this date (YYYY-MM-DD)

## Actor input object example

```json
{
  "maxItems": 100,
  "language": "en",
  "location": "Berlin",
  "radiusKm": 20,
  "properties": [],
  "operation": "buy",
  "propertyType": "house",
  "sortBy": "standard",
  "fetchDetails": false
}
```

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

// Prepare Actor input
const input = {
    "location": "Berlin"
};

// Run the Actor and wait for it to finish
const run = await client.actor("igolaizola/immobilienscout24-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 = { "location": "Berlin" }

# Run the Actor and wait for it to finish
run = client.actor("igolaizola/immobilienscout24-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "location": "Berlin"
}' |
apify call igolaizola/immobilienscout24-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,igolaizola/immobilienscout24-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Tm2mqqjTOXtJHWWg0/builds/DotRqmWeMquFSisMx/openapi.json