# Rentberry Scraper (`dadhalfdev/rentberry-scraper`) Actor

Scrape Rentberry, the global home rental platform! Instantly extract up to 2000 detailed apartment listings per run. Collect rental prices, high-res photos, amenities, exact locations, and descriptions. Perfect for real estate analysts, investors, and proptech developers tracking global markets.

- **URL**: https://apify.com/dadhalfdev/rentberry-scraper.md
- **Developed by:** [Marco Rodrigues](https://apify.com/dadhalfdev) (community)
- **Categories:** Real estate
- **Stats:** 2 total users, 1 monthly users, 92.9% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use 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

## 🏠 Rentberry Apartment Scraper

Are you building a real estate dashboard, analyzing rental markets, or sourcing property investments? **[Rentberry](https://rentberry.com)** is a global home rental platform connecting tenants with landlords, filled with high-quality apartment listings, pricing data, and property details.

![Rentberry Website](https://i.ibb.co/mMdJ1JD/Screenshot-From-2026-04-23-16-32-58.png)

This **Rentberry Scraper** allows you to extract rich, structured data directly from the Rentberry search API. You can instantly scrape and export up to **2000 rental properties** as clean, structured data.

### 💡 Perfect for...

- **Real Estate Analysts:** Analyze rental prices, availability, and market trends across different cities and neighborhoods.
- **PropTech Developers:** Feed fresh, standardized property data into your applications, map visualizations, or AI agents.
- **Investors & Property Managers:** Monitor competitor pricing, track listing duration, and identify high-yield investment opportunities.
- **Lead Generation:** Build databases of property owners, managers, and real estate agencies.

### ✨ Features

- 🔓 **Full Search Power:** Scrape any Rentberry search URL, keeping all the filters, map bounds, and options you applied in your browser.
- 🔍 **Smart Sorting:** Mirror the on-page sort options (`Best Match`, `Newest`, `Price: Low to High`, `Price: High to Low`) to get exactly the data you want first.
- ⚡ **Fast & Structured:** Get up to 2000 rich property profiles per run, including prices, addresses, amenities, and high-resolution images.

### 📦 What's inside the data?

For every property listing scraped, you get:

- **Core Info:** `id`, `name`, `url`, `listed_at`, `thumbnail_url`
- **Pricing & Space:** `price`, `deposit`, `currency`, `space`, `length_unit`, `bedrooms`, `baths`
- **Location:** `address` (full object), `latitude`, `longitude`
- **Property Details:** `short_description`, `type`, `amenities`, `available`, `apartment_pictures`
- **Platform Data:** `provider`, `rented`, `has_virtual_tour`, `promoted`, `favorited`

### 🚀 How to use

1. **Get your Search URL:** Go to [Rentberry](https://rentberry.com), search for a city, apply any filters (pet friendly, price range, bedrooms), and copy the URL from your browser.
2. **Enter the URL:** Paste it into the `input_url` field.
3. **Choose Sorting (Optional):** Select how you want the results ordered (e.g., "Newest" or "Price: Low to High").
4. **Set Limit:** Choose how many properties to collect (you can scrape up to 2000).
5. **Click Start** and let the scraper pull the data.
6. Export your structured property list as a CSV, Excel spreadsheet, or JSON file.

---

#### Tech details for developers 🧑‍💻

**Input Example:**
```json
{
  "input_url": "https://rentberry.com/at/apartments/s/vienna-austria",
  "filter_by": "Newest",
  "max_properties": 200
}
````

**Output Example:**

```json
{
  "id": 166372739,
  "name": "Renovierte und 3-Zimmer-Wohnung nahe Sobieskiplatz ab Juni / Juli 2026 zur Miete!",
  "url": "https://rentberry.com/at/apartments/166372739-three-br-vienna-himmelpfortgrund-vienna-at",
  "listed_at": "2026-04-23T08:51:22+00:00",
  "thumbnail_url": "https://img.rentberry.com/77NadAY3YJhGnTk-eyXz5a80SbncHy7APWAGvJPS5lI/rs:fill:440:440:0/g:sm/plain/media/apartments/099d71b74a9080c88b6e1d7179ea10711ef725d8.jpg@webp",
  "price": 1690,
  "deposit": 5070,
  "currency": "€",
  "space": 88.0,
  "length_unit": "m",
  "bedrooms": 3,
  "baths": 1.0,
  "external_key": "OBGC2026031915120057620ee5f6c4f_26315023",
  "provider": "openimmo",
  "provider_type": "mls",
  "rented": false,
  "has_virtual_tour": false,
  "no_index": false,
  "short_description": "<strong>Helle 3-Zimmer-Wohnung im 5. Liftstock mit Stadtblick und separater Küche ab Juni 2026</strong> <br><p> </p> <br><p><strong>Hinweise: </strong> </p> <br><p>Die Wohnung wird in Mai saniert: neue Küche, neue Böden...",
  "edited_by_user": false,
  "type": "apartment",
  "promoted": false,
  "promoted_till": null,
  "favorited": false,
  "is_favorited": false,
  "latitude": 48.2254442,
  "longitude": 16.3529458,
  "available": null,
  "amenities": [
    "Air Conditioning",
    "Cable Tv"
  ],
  "address": {
    "formattedAddress": "Vienna, Himmelpfortgrund, VIENNA, AT",
    "shortAddress": "Vienna, Himmelpfortgrund, VIENNA, AT",
    "apartmentNumber": null,
    "sublocality": "Himmelpfortgrund",
    "city": "Vienna"
  },
  "badges": [],
  "apartment_pictures": [
    {
      "imageThumbs": {
        "apartment_440": "https://img.rentberry.com/77NadAY3YJhGnTk-eyXz5a80SbncHy7APWAGvJPS5lI/rs:fill:440:440:0/g:sm/plain/media/apartments/099d71b74a9080c88b6e1d7179ea10711ef725d8.jpg@webp"
      }
    }
  ],
  "action_type": "inquiry",
  "instant_action": true
}
```

**Parameters:**

| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| `input_url` | string | Yes | The URL of the Rentberry search page to scrape (including any applied filters/bounds). |
| `filter_by` | string | No | Sort order to apply (`Best Match`, `Newest`, `Price: Low to High`, `Price: High to Low`). |
| `max_properties` | integer | No | Maximum number of property listings to return (Max 2000). |

# Actor input Schema

## `filter_by` (type: `string`):

Filter the listings by the given criteria.

## `input_url` (type: `string`):

The URL of the listings to scrape with the given filters.

## `max_properties` (type: `integer`):

The maximum number of properties to scrape.

## Actor input object example

```json
{
  "filter_by": "Best Match",
  "input_url": "https://rentberry.com/at/apartments/s/vienna-austria",
  "max_properties": 500
}
```

# Actor output Schema

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

Table view using the dataset 'overview' view.

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

All items from the default dataset without view transformation.

# 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("dadhalfdev/rentberry-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("dadhalfdev/rentberry-scraper").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 dadhalfdev/rentberry-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Rentberry Scraper",
        "description": "Scrape Rentberry, the global home rental platform! Instantly extract up to 2000 detailed apartment listings per run. Collect rental prices, high-res photos, amenities, exact locations, and descriptions. Perfect for real estate analysts, investors, and proptech developers tracking global markets.",
        "version": "0.1",
        "x-build-id": "bqsTRRSjb5SrbtYVq"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/dadhalfdev~rentberry-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-dadhalfdev-rentberry-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/dadhalfdev~rentberry-scraper/runs": {
            "post": {
                "operationId": "runs-sync-dadhalfdev-rentberry-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/dadhalfdev~rentberry-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-dadhalfdev-rentberry-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "required": [
                    "input_url"
                ],
                "properties": {
                    "filter_by": {
                        "title": "Filter by",
                        "enum": [
                            "Best Match",
                            "Newest",
                            "Price: Low to High",
                            "Price: High to Low"
                        ],
                        "type": "string",
                        "description": "Filter the listings by the given criteria.",
                        "default": "Best Match"
                    },
                    "input_url": {
                        "title": "Input URL",
                        "type": "string",
                        "description": "The URL of the listings to scrape with the given filters.",
                        "default": "https://rentberry.com/at/apartments/s/vienna-austria"
                    },
                    "max_properties": {
                        "title": "Max Properties",
                        "minimum": 20,
                        "maximum": 2000,
                        "type": "integer",
                        "description": "The maximum number of properties to scrape.",
                        "default": 500
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```