# ImmobilienScout24 Property Details Scraper (`thescrappa/immobilienscout24-property-details-scraper`) Actor

Get ImmobilienScout24 listing details such as rent, rooms, address, features, energy class, and images by property ID. Batch IDs to enrich housing records or review German listings.

- **URL**: https://apify.com/thescrappa/immobilienscout24-property-details-scraper.md
- **Developed by:** [Scrappa](https://apify.com/thescrappa) (community)
- **Categories:** Real estate
- **Stats:** 2 total users, 1 monthly users, 85.7% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.33 / 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 Property Details Scraper

Look up an ImmobilienScout24 listing by property ID. Review rent, rooms, address, features, energy class, and images in one structured record.

### What data can you extract?

| Field | Type | Description |
| --- | --- | --- |
| `success` | Boolean | Indicates whether ImmobilienScout24 returned a property record. |
| `id` | String | ImmobilienScout24 property ID used for this details lookup. |
| `title` | String | Listing headline for the German apartment or property. |
| `description` | String | Advertiser text describing the German property. |
| `type` | String | ImmobilienScout24 listing category for the property. |
| `is_tenant_network` | Boolean | True when the listing is marked as part of a tenant network. |
| `price` | Object | Advertised rent or sale amount and billing period when provided. |
| `details` | Object | Property attributes such as rooms, area, floor, and availability. |
| `address` | Object | Property address and district details, with coordinates when available. |
| `features` | Array\<string> | Amenities and property features included in the listing. |
| `energy_class` | String | Energy-efficiency class shown for the property. |
| `images` | Array\<object> | Property image URLs and captions attached to the listing. |
| `agent` | Object | Advertiser or real-estate agent details shown on the listing. |
| `url` | String | Public ImmobilienScout24 page URL for this property. |
| `input_id` | String | Property ID submitted for this details lookup. |
| `scraped_at` | String | UTC date and time when this property record was collected. |

### Use cases

- Rental analysts can enrich listings with rent, location, room, and energy details.
- Property managers can compare features and availability across German listings.
- Real-estate teams can review listing images and advertiser information.

### How to use

1. Add one numeric property ID to `property_ids` for each listing.
2. Set `maxResults` to cap property records saved.
3. Match each dataset item to your property using its ID.

```json
{
  "property_ids": [
    {
      "id": "170528322"
    }
  ],
  "maxResults": 20
}
```

### Input

| Field | Type | Required | Description |
| --- | --- | --- | --- |
| `property_ids` | Array\<object> | Yes | Numeric ImmobilienScout24 listing IDs or expose page URLs to look up. |
| `property_ids[].id` | string | Yes per entry | ImmobilienScout24 property ID (digits) or the URL of an expose page. |
| `maxResults` | integer | No | Maximum dataset items to save across this entire run. |

### Output example

```json
{
  "success": true,
  "id": "170000001",
  "title": "Bright two-bedroom apartment near Stadtpark",
  "description": "A sunny apartment with a balcony, elevator access, and a renovated kitchen.",
  "type": "apartment",
  "is_tenant_network": false,
  "price": {
    "cold_rent": 900,
    "warm_rent": 1100,
    "cold_rent_formatted": "€900",
    "warm_rent_formatted": "€1,100",
    "deposit": 1800,
    "currency": "EUR"
  },
  "details": {
    "rooms": 2,
    "size_m2": 68,
    "floor": 2,
    "available_from": "2026-10-01",
    "year_built": 2018
  },
  "address": {
    "street": "Friedrichstrasse 18",
    "postal_code": "10117",
    "city": "Berlin",
    "district": "Mitte",
    "lat": 52.53,
    "lon": 13.38
  },
  "features": [
    "balcony",
    "elevator"
  ],
  "energy_class": "B",
  "images": [
    {
      "url": "https://www.immobilienscout24.de/expose/170000001/images/room-1",
      "caption": "Living room"
    }
  ],
  "agent": {
    "name": "Nordlicht Immobilien",
    "logo_url": "https://www.immobilienscout24.de/expose/170000001/images/agent-logo"
  },
  "url": "https://www.immobilienscout24.de/expose/170000001",
  "input_id": "170528322",
  "scraped_at": "2026-10-01T12:00:00Z"
}
```

### Pricing

$0.50 per 1,000 results. Apify saves one dataset item per result and applies the Actor’s per-result price to saved items.

Set **maxResults** to cap the number of dataset items saved in one run.

### FAQ

#### Is scraping this information legal?

Rules depend on the source, location, data type, and intended use. Check applicable laws and source terms, and make sure your workflow follows privacy and data protection requirements.

#### What limits apply?

Submit up to 100 batch entries per run. Use **maxResults** to cap saved items. Results also depend on source availability and your Scrappa API plan.

#### Can I start runs through the Apify API?

Yes. Send a POST request to `https://api.apify.com/v2/acts/thescrappa~immobilienscout24-property-details-scraper/runs` with your Actor input, or use an Apify client library. Read the output from the run dataset.

#### Can I connect the results to other tools?

Yes. Apify integrations and APIs can pass dataset results to Make, Zapier, n8n, Google Sheets, and other data workflows.

#### What happens when one input fails?

The Actor logs a short source error and continues with the remaining entries. Transient rate limits and gateway errors are retried; if every entry fails, the run reports an error.

#### Which ID should I provide?

Use the numeric ImmobilienScout24 listing ID from the property URL or listing reference.

### Related Scrappa Actors

- [ImmobilienScout24 Search Scraper](https://apify.com/thescrappa/immobilienscout24-search-scraper)
- [ImmobilienScout24 Price Insights Scraper](https://apify.com/thescrappa/immobilienscout24-price-insights-scraper)
- [Immowelt Property Search Scraper](https://apify.com/thescrappa/immowelt-property-search-scraper)

# Actor input Schema

## `property_ids` (type: `array`):

Numeric ImmobilienScout24 listing IDs or expose page URLs to look up.

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

Maximum dataset items to save across this entire run.

## Actor input object example

```json
{
  "property_ids": [
    {
      "id": "170528322"
    }
  ],
  "maxResults": 20
}
```

# Actor output Schema

## `results` (type: `string`):

All results from this run in the default dataset.

# 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 = {
    "property_ids": [
        {
            "id": "170528322"
        }
    ],
    "maxResults": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("thescrappa/immobilienscout24-property-details-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 = {
    "property_ids": [{ "id": "170528322" }],
    "maxResults": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("thescrappa/immobilienscout24-property-details-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 '{
  "property_ids": [
    {
      "id": "170528322"
    }
  ],
  "maxResults": 20
}' |
apify call thescrappa/immobilienscout24-property-details-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,thescrappa/immobilienscout24-property-details-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/fNSqE82jQs4j53MxJ/builds/uUbxoHs2RjkIZn8NA/openapi.json