# Sparkasse Immobilien Scraper – German Real Estate (`sn41lz/sparkasse-immobilien-scraper`) Actor

Scrape German property listings from Sparkasse Immobilien: apartments, houses, plots, investment and commercial property. Price, €/m², living and plot area, rooms, coordinates, type and photos around any city.

- **URL**: https://apify.com/sn41lz/sparkasse-immobilien-scraper.md
- **Developed by:** [Sergi Espí Zamora](https://apify.com/sn41lz) (community)
- **Categories:** Real estate, Lead generation
- **Security:** Limited permissions
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$2.00 / 1,000 property saveds

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/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

## Sparkasse Immobilien Scraper – German Real Estate

Get property listings from **[Sparkasse Immobilien](https://immobilien.sparkasse.de)**, the real estate portal of Germany's savings banks (Sparkassen), one of the largest property brokers in Germany, as clean data: **price, €/m², living area, plot area, rooms, property sub-type, coordinates and photos**.

Type a city, district or postcode (**München, Köln, Berlin, Hamburg, Frankfurt, 60311…**), choose a radius and property type, and click Start.

### Why this scraper?

- **Unique property types:** besides apartments and houses, Sparkasse lists **plots (Grundstücke)** and **investment properties (Anlageobjekte, Mehrfamilienhäuser)**, which investors don't find elsewhere in one feed.
- **Sparkasse's own offers flagged:** `sparkasseOffer` tells you which listings are handled by a Sparkasse broker team.
- **Coordinates for every listing**, ready for maps and location analysis.
- **Every page of the search**, with no duplicates, so you never pay twice for the same property.

### Who is it for?

- **Real estate investors** looking for apartment buildings, plots and buy-to-let apartments.
- **Agents and developers** watching new supply and prices around their area.
- **Analysts** comparing €/m² between German cities and districts.

### What data do you get?

| Field | Example |
|---|---|
| `title`, `propertyType`, `propertySubType` | TRIO am Nordpark – 3 Zimmer, Wohnung, Etagenwohnung |
| `price`, `pricePerM2`, `priceText` | 489900, 6025, 489.900 € |
| `livingAreaM2`, `plotAreaM2`, `rooms` | 81.31, null, 3 |
| `location`, `latitude`, `longitude` | Köln, 50.9686, 6.9636 |
| `sparkasseOffer`, `labels` | false, immowelt Kooperationsangebot |
| `image`, `images`, `url`, `id` | photo URLs, link to the listing |

### How to use it

1. Add one or more **Locations** (city, district or postcode).
2. Pick a **Radius**, **Property type** and optionally a price range.
3. Set **Max results** to control cost, and click **Start**.
4. Download as Excel, CSV or JSON, or send the data to Google Sheets.

**Tip:** schedule it daily to get new investment properties and plots as soon as they're listed.

### How much does it cost?

**$2 per 1,000 properties** ($0.002 each). Use **Max results** to set a hard cap.

### Notes

- Locations are resolved with the site's own place search; the log shows which place each location matched.
- The Actor reads public result pages at a gentle pace and respects the site's robots.txt. It doesn't collect contact details of people.

***

### Auf Deutsch

Extrahiert Immobilienangebote von **Sparkasse Immobilien**: Wohnungen, Häuser, Grundstücke, Anlageobjekte und Gewerbe zum Kauf oder zur Miete im Umkreis jeder Stadt. Preis, €/m², Wohn- und Grundstücksfläche, Zimmer, Koordinaten und Fotos. 2 $ pro 1.000 Immobilien.

# Actor input Schema

## `locations` (type: `array`):

German cities, districts or postcodes, e.g. 'München', 'Köln', 'Berlin', 'Hamburg-Altona', '60311'. Each is searched within the radius below.

## `radiusKm` (type: `string`):

Search radius around each location.

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

Type of property.

## `dealType` (type: `string`):

Most Sparkasse listings are for sale.

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

Only properties at or above this price (monthly rent for rentals).

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

Only properties at or below this price (monthly rent for rentals).

## `startUrls` (type: `array`):

Or paste result pages from immobilien.sparkasse.de with any filters you set on the site (URLs starting with https://immobilien.sparkasse.de/immobilien/treffer).

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

Stop after this many properties in total. 0 = no limit.

## Actor input object example

```json
{
  "locations": [
    "München"
  ],
  "radiusKm": "10",
  "propertyType": "apartment",
  "dealType": "buy",
  "maxItems": 100
}
```

# Actor output Schema

## `overview` (type: `string`):

No description

## `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 = {
    "locations": [
        "München"
    ],
    "maxItems": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("sn41lz/sparkasse-immobilien-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 = {
    "locations": ["München"],
    "maxItems": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("sn41lz/sparkasse-immobilien-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 '{
  "locations": [
    "München"
  ],
  "maxItems": 100
}' |
apify call sn41lz/sparkasse-immobilien-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,sn41lz/sparkasse-immobilien-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/TlIUJCysEzvm2eVI2/builds/O01gVoetlI5bKDCDh/openapi.json