# BNP Paribas Real Estate Scraper (`datascrapers/bnppre-scraper`) Actor

Scrape commercial property listings from BNP Paribas Real Estate (bnppre.de) including prices, locations, custom fields, and images.

- **URL**: https://apify.com/datascrapers/bnppre-scraper.md
- **Developed by:** [Data Scrapers](https://apify.com/datascrapers) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 dataset items

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
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

**BNP Paribas Real Estate Scraper** creates a structured dataset of commercial property listings collected from BNP Paribas Real Estate Germany. Each dataset item is one estate and can include the estate id, estate type, address, total area, currency, and source URL. Query the source with the properties page URL, limit the run with `maxItems`, and retrieve records through the Apify Dataset API or export them as JSON, CSV, Excel, XML, or another supported format.

[![BNP Paribas Real Estate Scraper — input to structured data](https://raw.githubusercontent.com/faizanalii/apify-actor-assets/main/bnppre-scraper/bnppre-scraper-value-demo.gif)](https://apify.com/datascrapers/bnppre-scraper)

### Dataset at a glance

| Property | Value |
|---|---|
| Source | bnppre.de |
| Record unit | One commercial property listing |
| Input methods | `url`, `maxItems` |
| Main identifiers | `id` and `sourceUrl` |
| Delivery | Apify Dataset and API |
| Export formats | JSON, CSV, Excel, XML, and other Apify dataset exports |
| Update model | Fresh records per Actor run |
| Pricing | $2.00 per 1,000 `dataset-item` events |

### Coverage and available records

The Actor reads the German BNP Paribas Real Estate properties inventory. `url` is stored as metadata. Listings come from the site's listing feed. The saved sample is an office and retail space in Leipzig.

Supported:

- The properties listing feed behind `https://www.bnppre.de/en/properties`
- Estate type, address, area, and attachment metadata
- A result cap through `maxItems`. `0` means no cap

Not currently collected on the saved row:

- A numeric asking rent or sale price. The saved `price` object has currency, VAT, and commission flags, not an amount
- A separate contact-person email or phone

### Data dictionary

Fields match a saved listing. Nested objects are summarized here.

| Field | Type | Nullable | Description | Example |
|---|---|---:|---|---|
| `id` | string | No | Estate id. Best field for deduplication. | `69b7c21850b5dc6482302c82` |
| `sourceUrl` | string | Yes | Properties page used for the run. | `https://www.bnppre.de/en/properties` |
| `estateType` | object | Yes | Type name and id. | `Büro- u. Praxisflächen, Ladenflächen, Wohnungen` |
| `address` | object | Yes | Street, house number, zip, city, state, and coordinates. | `Katharinenstraße 15, 04109 Leipzig, Sachsen` |
| `area` | object | Yes | Area figures. `totalArea` is square meters. | `943` |
| `price` | object | Yes | Currency plus VAT and commission flags. | `EUR` |
| `images` | array | Yes | Image records when the feed includes them. | Present or empty |
| `createdAt` | string | Yes | Source timestamp. | ISO-8601 |

### Example dataset record

```json
{
  "id": "69b7c21850b5dc6482302c82",
  "sourceUrl": "https://www.bnppre.de/en/properties",
  "estateType": {"name": "Büro- u. Praxisflächen, Ladenflächen, Wohnungen"},
  "address": {
    "street": "Katharinenstraße",
    "houseNumber": "15",
    "addressZipCode": {"zipCode": "04109", "addressCity": {"city": "Leipzig"}}
  },
  "area": {"totalArea": 943, "available": 943},
  "price": {"currency": "EUR", "exclusiveVat": false, "commission": false}
}
```

The saved row came from the English properties page with no `maxItems` cap in the sample file.

### Query and input reference

| Input | Type | Required | Default | Accepted values | Description |
|---|---|---:|---|---|---|
| `url` | string | No | `https://www.bnppre.de/en/properties` |  | Reference URL for the BNP Paribas Real Estate properties page (used for metadata; listings are fetched from the site API). |
| `maxItems` | integer | No | `0` |  | Maximum number of property listings to scrape (0 = unlimited). |
| `proxyConfiguration` | object | No | `{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}` |  | Proxy settings for anti-bot protection. |

Minimal request:

```json
{
  "url": "https://www.bnppre.de/en/properties",
  "maxItems": 10
}
```

### Retrieve the data through the API

1. Start `datascrapers/bnppre-scraper` with the JSON input.
2. Wait until the run finishes, or call the synchronous dataset endpoint.
3. Read items from the run's default dataset.
4. Paginate with dataset `offset` and `limit`.

```python
from apify_client import ApifyClient

client = ApifyClient("<APIFY_TOKEN>")
run = client.actor("datascrapers/bnppre-scraper").call(run_input={
    "url": "https://www.bnppre.de/en/properties",
    "maxItems": 10,
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["id"], item.get("area", {}).get("totalArea"))
```

Other languages are listed on the Actor's API tab. This is the Apify Actor API, not a BNP Paribas API.

### Data quality and record handling

- One dataset item is one estate. Each pushed estate charges one `dataset-item` event.
- Deduplicate on `id`.
- `address` and `price` are objects. City and zip sit under `address.addressZipCode`.
- The saved `price` object does not include a numeric amount.
- `maxItems` of `0` does not cap the result set.

### Pricing and cost examples

The price file charges **$2.00 per 1,000** listings. That is **$0.002** per `dataset-item` on every Apify plan. Platform usage, including compute and proxy, is billed separately by Apify.

| Records | Estimated event cost |
|---:|---:|
| 1,000 | $2.00 |
| 10,000 | $20.00 |

### Limitations and responsible data use

- Coverage is the public properties feed, not every off-market instruction.
- Estate type names can be German even when `url` is the English page.
- Areas and availability change on the source. This dataset is not a historical archive.
- You are responsible for complying with the site's terms and applicable law.

### Dataset questions

#### What does one dataset item represent?

One BNP Paribas Real Estate Germany property from the listings feed.

#### Which field should I use as a unique identifier?

Use `id`.

#### Are fields nullable or conditional?

Yes. Image lists and numeric prices are absent on the saved row.

#### Can I retrieve the records as CSV or JSON?

Yes. Export the default dataset as JSON, CSV, Excel, XML, or another Apify format.

#### How do I paginate large datasets?

Use `limit` and `offset` on the dataset items endpoint. `maxItems` limits how many rows the run saves.

#### Does the Actor return historical data?

No. Each run returns the listings available at request time.

#### What counts as a billable result?

One `dataset-item` event per estate saved to the dataset.

### Related datasets from Data Scrapers

- [Bezrealitky Scraper](https://apify.com/datascrapers/bezrealitky-scraper) collects Czech sale and rent offers.
- [Boliga Scraper](https://apify.com/datascrapers/boliga-dk-scraper) collects Danish listings with price and energy class.
- [Boligsiden Scraper](https://apify.com/datascrapers/boligsiden-dk-scraper) collects Danish for-sale, sold, and rental rows.
- [Booli Scraper](https://apify.com/datascrapers/booli-se-scraper) collects Swedish for-sale and sold homes.
- [Apartments Scraper](https://apify.com/datascrapers/apartments-scraper) collects US rental listings.
- [Bayut Scraper](https://apify.com/datascrapers/bayut-scraper) collects UAE property listings.

### Data Scrapers support

Questions about this dataset: stardustspotlight@gmail.com

# Actor input Schema

## `url` (type: `string`):

Reference URL for the BNP Paribas Real Estate properties page (used for metadata; listings are fetched from the site API).

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

Maximum number of property listings to scrape (0 = unlimited).

## `proxyConfiguration` (type: `object`):

Proxy settings for anti-bot protection.

## Actor input object example

```json
{
  "url": "https://www.bnppre.de/en/properties",
  "maxItems": 20,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

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

Dataset containing scraped property listings

## `runStats` (type: `string`):

Aggregate statistics for the scrape run

# 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 = {
    "url": "https://www.bnppre.de/en/properties",
    "maxItems": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("datascrapers/bnppre-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 = {
    "url": "https://www.bnppre.de/en/properties",
    "maxItems": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("datascrapers/bnppre-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 '{
  "url": "https://www.bnppre.de/en/properties",
  "maxItems": 20
}' |
apify call datascrapers/bnppre-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,datascrapers/bnppre-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/LAwwPoB1mciGheJeY/builds/B3itRaBhIfbkAAQSO/openapi.json