# Immoscout24 Property Spider (`getdataforme/immoscout24-property-spider`) Actor

Effortlessly scrape comprehensive property listings from Immoscout24, Germany's leading real estate platform. Extract data on houses, apartments, plots, and garages for buying or renting....

- **URL**: https://apify.com/getdataforme/immoscout24-property-spider.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, Agents, E-commerce
- **Stats:** 12 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: 1.00 out of 5 stars

## Pricing

from $9.00 / 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## Immoscout24 Property Spider

### Introduction

The Immoscout24 Property Spider is a powerful Apify Actor designed to scrape and extract detailed property listings from Immoscout24, Germany's leading real estate platform. It enables users to gather comprehensive data on houses, apartments, plots, and garages for buying or renting, making it an invaluable tool for real estate professionals, investors, and researchers. By automating data collection, this Actor saves time and ensures access to up-to-date market information.

### Features

- **Comprehensive Data Extraction**: Scrapes key details like property type, location, price, and availability from Immoscout24 listings.
- **Flexible Filtering**: Supports targeted searches by location, property type (house, apartment, plot, garage), and transaction type (buy or rent).
- **Customizable Limits**: Allows setting item limits to control the volume of data extracted, optimizing performance and costs.
- **High Reliability**: Built with robust error handling to manage site changes and ensure consistent data quality.
- **Fast and Scalable**: Leverages Apify's cloud infrastructure for quick, parallel processing of large datasets.
- **JSON Output**: Delivers structured, machine-readable data ideal for integration with analytics tools or databases.
- **User-Friendly Interface**: Simple input configuration via Apify's web console, no coding required.

### Input Parameters

| Parameter    | Type    | Required | Description                                                                 | Example          |
|--------------|---------|----------|-----------------------------------------------------------------------------|------------------|
| Location     | string  | No       | Specifies the city or region for property searches.                         | "berlin"         |
| PropertyType | string  | No       | Filters results by property type: house, apartment, plot, or garage.        | "apartment"      |
| BuyRent      | string  | No       | Chooses between buying or renting properties.                               | "rent"           |
| ItemLimit    | integer | No       | Limits the number of properties to extract (default: 10).                   | 50               |

### Example Usage

#### Input JSON

```json
{
  "Location": "munich",
  "PropertyType": "house",
  "BuyRent": "buy",
  "ItemLimit": 20
}
```

#### Output JSON

```json
[
  {
    "id": "123456",
    "title": "Beautiful Family House in Munich",
    "location": "Munich, Bavaria",
    "propertyType": "house",
    "transactionType": "buy",
    "price": 500000,
    "area": 150,
    "rooms": 4,
    "description": "Spacious house with garden.",
    "url": "https://www.immoscout24.de/expose/123456"
  }
]
```

### Use Cases

- **Market Research and Analysis**: Gather data for analyzing real estate trends, pricing, and demand in specific locations.
- **Competitive Intelligence**: Monitor competitors' listings to understand market positioning and pricing strategies.
- **Price Monitoring**: Track property prices over time to identify investment opportunities or market fluctuations.
- **Content Aggregation**: Build databases of property listings for real estate websites or apps.
- **Academic Research**: Collect data for studies on housing markets, urban development, or economic indicators.
- **Business Automation**: Automate lead generation for real estate agents by extracting contact details and property specs.

### Installation and Usage

1. Search for "Immoscout24 Property Spider" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters.
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).

### Output Format

The Actor outputs data in JSON format, with each item representing a property listing. Key fields include:

- `id`: Unique identifier for the listing.
- `title`: Property title.
- `location`: Geographic details.
- `propertyType`: Type of property (e.g., house, apartment).
- `transactionType`: Buy or rent.
- `price`: Listed price.
- `area`: Size in square meters.
- `rooms`: Number of rooms.
- `description`: Brief property description.
- `url`: Link to the full listing.

This structured format ensures easy parsing and integration with other tools.

### Support

For custom/simplified outputs or bug reports, please contact:

- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form: https://getdataforme.com/contact/

We're here to help you get the most out of this Actor!

# Actor input Schema

## `Location` (type: `string`):

The location for the spider.

## `PropertyType` (type: `string`):

The property type for the spider.

## `BuyRent` (type: `string`):

The buy rent for the spider.

## `ItemLimit` (type: `integer`):

The item limit for the spider.

## Actor input object example

```json
{
  "Location": "berlin",
  "PropertyType": "house ",
  "BuyRent": "buy",
  "ItemLimit": 10
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/immoscout24-property-spider").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("getdataforme/immoscout24-property-spider").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 getdataforme/immoscout24-property-spider --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=getdataforme/immoscout24-property-spider",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/fRFKWpMIIH0TEucs8/builds/TFTBbLdG2Mmed9GGz/openapi.json