# Aengevelt Scraper — German Real Estate Property Listings (`rigelbytes/aengevelt-scraper`) Actor

Extract property listings from Aengevelt Immobilien. Get pricing, location, contact data, and images from Germany's leading real estate platform — from $2/1,000 listings.

- **URL**: https://apify.com/rigelbytes/aengevelt-scraper.md
- **Developed by:** [Rigel Bytes](https://apify.com/rigelbytes) (community)
- **Categories:** Developer tools, Automation, Real estate
- **Stats:** 2 total users, 1 monthly users, 60.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.30 / 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/docs.md):

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

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

## Aengevelt Scraper

Extract thousands of property listings from Aengevelt Immobilien, one of Germany's leading real estate platforms. Power your market research, investment analysis, and portfolio monitoring with structured property data — starting at **$2 per 1,000 listings**.

---

### What can Aengevelt Scraper do for you?

- **Build complete property databases** — Extract every listing from Aengevelt's search API, including purchase and rental properties across Germany.
- **Monitor the German real estate market** — Track pricing trends, inventory changes, and new listings in cities like Düsseldorf, Cologne, Berlin, and Munich.
- **Analyze property details at scale** — Get purchase prices, rents, living spaces, room counts, locations, and contact information — all in structured JSON.
- **Enrich listings with images** — Each record includes Cloudinary-hosted image URLs for visual analysis or archiving.
- **Automate investment research** — Feed clean, normalized data into your CRM, analytics pipeline, or reporting dashboard.
- **Export in your preferred format** — Download results as JSON, CSV, Excel, or XML directly from the Apify platform.

### What data can you extract?

| Field | Description |
|-------|-------------|
| 🏷️ **Title** | Listing headline |
| 🏠 **Object Type / SubType** | Property category (apartment, house, office, etc.) |
| 📍 **Location** | Full address, city, district, ZIP code, and coordinates |
| 💰 **Purchase Price** | Sale price (if applicable) |
| 💶 **Rent** | Monthly rent and net rent (if applicable) |
| 📐 **Living Space** | Square meters of living area |
| 📏 **Usable Area / Office Space** | Additional space measurements |
| 🛏️ **Rooms** | Number of rooms |
| 🏗️ **Condition** | Property condition (new, modernized, etc.) |
| 📅 **Available From** | Availability date |
| 👤 **Contact Person** | Agent or broker contact details |
| 🖼️ **Images** | Listing photos with full-resolution URLs |
| 🔗 **Property URL** | Direct link to the original listing |
| 🆔 **Property ID** | Unique identifier |

### Why use this scraper?

- **📊 Market Research** — Analyze pricing trends, property types, and availability across German cities. Compare rents and purchase prices by district.
- **💰 Investment Analysis** — Build a dataset of commercial and residential properties to identify undervalued listings and investment opportunities.
- **📋 Portfolio Monitoring** — Track your own listings or competitor inventories over time. Get notified of new properties matching your criteria.
- **🤖 Process Automation** — Eliminate manual copy-paste. Feed structured property data directly into your analytics, CRM, or lead management system.

### Pricing

| Tier | Price per 1,000 results |
|------|--------------------------|
| **Base (no discount)** | **$2.00** |
| Bronze | $1.70 |
| Silver | $1.50 |
| Gold | $1.30 |

- **Pay only for what you use** — charged per dataset item (`dataset-item` event).
- **No monthly commitment** — no hidden fees or limits on usage.
- Apify platform subscription discounts (Bronze/Silver/Gold) apply automatically based on your Apify plan.

---

### How to use Aengevelt Scraper

1. **Create a free Apify account** at [apify.com](https://apify.com) (no credit card required).
2. **Open the Aengevelt Scraper** at [apify.com/rigelbytes/aengevelt-scraper](https://apify.com/rigelbytes/aengevelt-scraper).
3. **Click "Try" or "Start"** — the default input will scrape all listings from `https://www.aengevelt.com/immobilien/`.
4. **Configure optional settings** — set `maxItems` to limit the number of records or adjust proxy settings.
5. **Run the scraper** — it will fetch all matching properties and push them to your Apify dataset.
6. **Download your data** — export as JSON, CSV, Excel, or XML, or fetch via API.

### Input

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `url` | `string` | Yes | Aengevelt listings page URL used to determine total property count. Default: `https://www.aengevelt.com/immobilien/` |
| `maxItems` | `integer` | No | Maximum number of property listings to scrape. Set to `0` for unlimited. Default: `0` |
| `proxyConfiguration` | `object` | No | Proxy settings for anti-bot protection. Default uses Apify Proxy with residential proxies. |

#### 📝 Copy for Use:

```json
{
    "url": "https://www.aengevelt.com/immobilien/",
    "maxItems": 100,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}
````

### Output

![Aengevelt Scraper Output](https://github.com/faizanalii/apify-images/blob/main/Aengevelt%20Scraper.gif?raw=true)

Each listing record contains detailed property information, contact data, and image URLs. Here's a preview of the data structure:

```json
{
    "id": 12345,
    "propertyId": 67890,
    "title": "Exklusive 3-Zimmer-Wohnung in Düsseldorf Stadtmitte",
    "objectType": "Wohnung",
    "objectSubType": "Eigentumswohnung",
    "locationText": "Düsseldorf · Stadtmitte",
    "location": "Düsseldorf",
    "partOfTown": "Stadtmitte",
    "latitude": 51.2254,
    "longitude": 6.7763,
    "zip": "40213",
    "purchasePrice": 450000,
    "rent": null,
    "livingSpace": 85.5,
    "rooms": 3,
    "condition": "Erstbezug",
    "availableFrom": "2026-09-01",
    "priceOnApplication": false,
    "url": "https://www.aengevelt.com/immobilien/exklusive-3-zimmer-wohnung-in-düsseldorf-stadtmitte/",
    "contactPerson": {
        "name": "Max Mustermann",
        "phone": "+49 211 123456",
        "email": "max@aengevelt.com"
    },
    "images": [
        {
            "src": "exklusive-3-zimmer-wohnung-1.jpg",
            "url": "https://res.cloudinary.com/aengevelt/image/upload/w_800,h_600/live/exklusive-3-zimmer-wohnung-1.jpg",
            "width": 800,
            "height": 600
        }
    ]
}
```

### Why Choose This Scraper?

- **Affordable**: Pay only $2 per 1,000 listings scraped — with volume discounts across all Apify plans.
- **Comprehensive**: Extract 30+ data points per property, including pricing, location, contact details, and images.
- **Easy to Use**: No coding required. Enter a URL, click run, and get structured data in minutes.
- **Reliable**: Built with production-grade retry logic, proxy rotation, and error handling for consistent results.

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#### Running via Apify Console

You can run this actor from the Apify Console by providing the necessary input parameters.

#### Running via API

You can trigger this actor using the Apify API, passing the required input in the request body.

### API

Use the Apify API to run the actor programmatically. Replace `YOUR_API_TOKEN` with your Apify API token.

#### Python

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")

run = client.actor("rigelbytes/aengevelt-scraper").call(
    run_input={
        "url": "https://www.aengevelt.com/immobilien/",
        "maxItems": 100,
        "proxyConfiguration": {
            "useApifyProxy": True,
            "apifyProxyGroups": ["RESIDENTIAL"]
        }
    },
)

dataset = client.dataset(run["defaultDatasetId"]).list_items().items
print(dataset)
```

#### JavaScript

```javascript
import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "YOUR_API_TOKEN" });

const run = await client
  .actor("rigelbytes/aengevelt-scraper")
  .call({
    url: "https://www.aengevelt.com/immobilien/",
    maxItems: 100,
    proxyConfiguration: {
      useApifyProxy: true,
      apifyProxyGroups: ["RESIDENTIAL"],
    },
  });

const { items } = await client
  .dataset(run.defaultDatasetId)
  .listItems();
console.log(items);
```

#### cURL

```shell
curl -X POST "https://api.apify.com/v2/acts/rigelbytes/aengevelt-scraper/runs?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "url": "https://www.aengevelt.com/immobilien/",
    "maxItems": 100,
    "proxyConfiguration": {
      "useApifyProxy": true,
      "apifyProxyGroups": ["RESIDENTIAL"]
    }
  }'
```

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Find business contacts, leads, and company data for sales and outreach.

- **[Company Service Finder](https://apify.com/rigelbytes/company-service-finder)** — The Company Service Finder uses AI to extract and analyze company services from Google Search & Maps. Get detailed...
- **[Doctify Scraper](https://apify.com/rigelbytes/doctify-scraper)** — Doctify Scraper lets you extract doctor and practice data from doctify.com using a search results URL. Collect...
- **[Doctolib Scraper](https://apify.com/rigelbytes/doctolib-scraper)** — Scrape doctor profiles, availability, and practice details from Doctolib.de — Germany's largest medical appointment...
- **[FindLaw Law Firm Scraper - Attorney & Law Firm Data Extraction](https://apify.com/rigelbytes/findlaw-scraper)** — Scrape law firm profiles from FindLaw.com. Extract detailed attorney and firm information including contact details,...
- **[Google Maps Scraper](https://apify.com/rigelbytes/google-maps-scraper)** — Find business leads and contact details from Google Maps for outbound sales, prospecting, and CRM enrichment.
- **[Website Services Finder](https://apify.com/rigelbytes/website-services-finder)** — Automatically extract and analyze company services from any business website using advanced AI. Choose from 5 AI...
- **[Zillow Agents](https://apify.com/rigelbytes/zillow-agents)** — Find business leads and contact details from Zillow for outbound sales, prospecting, and CRM enrichment.
- **[Zillow Agents Phone](https://apify.com/rigelbytes/zillow-agents-phone)** — Find business leads and contact details from Zillow for outbound sales, prospecting, and CRM enrichment.
- **[Zillow Agents Vault](https://apify.com/rigelbytes/zillow-agents-vault)** — Find business leads and contact details from Zillow for outbound sales, prospecting, and CRM enrichment.

#### ⭐ Reviews & Ratings

Monitor reviews and reputation data across review platforms.

- **[Airbnb Listing Reviews](https://apify.com/rigelbytes/airbnb-listing-reviews)** — Collect reviews and ratings from Airbnb for reputation monitoring and customer insights.
- **[BBB Scraper](https://apify.com/rigelbytes/bbb-scraper)** — Collect reviews and ratings from BBB for reputation monitoring and customer insights.
- **[Costco Product Scraper](https://apify.com/rigelbytes/costco-scraper)** — Scrapes product data from Costco.com including prices, descriptions, ratings, and availability. Supports search...
- **[HRS Hotel Reviews Scraper](https://apify.com/rigelbytes/hrs-hotel-reviews-scraper)** — Extract hotel details, room offers, and guest reviews from HRS hotel URLs.
- **[HRS Hotel Scraper](https://apify.com/rigelbytes/hrs-scraper)** — Scrapes hotel listings, prices, ratings, and amenities from HRS (hrs.com) by location and travel dates.
- **[Rottentomatoes Reviews Scraper](https://apify.com/rigelbytes/rottentomatoes-reviews-scraper)** — Collect reviews and ratings from Rotten Tomatoes for reputation monitoring and customer insights.
- **[Trustpilot Reviews Scraper](https://apify.com/rigelbytes/trustpilot-reviews)** — Collect reviews and ratings from Trustpilot for reputation monitoring and customer insights.

#### 🍔 Food & Delivery

Extract restaurant, grocery, and delivery platform data.

- **[Instacart Scraper](https://apify.com/rigelbytes/instacart-scraper)** — Scrape menus, stores, and delivery data from Instacart for data-driven research and automation.
- **[Publix Scraper](https://apify.com/rigelbytes/publix-scraper)** — Scrape menus, stores, and delivery data from Publix for data-driven research and automation.

#### 🛠️ Developer Tools

General-purpose scraping and automation tools.

- **[Web Crawler](https://apify.com/rigelbytes/webcrawler)** — This web crawler is designed to provide users with complete flexibility by allowing them to use their \*\*own...

### Understanding Proxies:

When scraping data or browsing anonymously, proxies are essential. They act as intermediaries, masking your original IP address and allowing you to send requests from another location.

#### Why Use Proxies?

- Avoid IP Blocks: By routing requests through proxies, you prevent the target website from recognizing your IP as a scraper or spammer.
- Access Geo-restricted Content: Proxies let you access content or websites restricted by location.
- Enhance Anonymity: Hide your actual IP, ensuring privacy while scraping or browsing.

#### Types of Proxies

1. Residential Proxies
   - Real IP addresses provided by ISPs to home users.
   - They mimic regular users, making them harder to detect.
   - Best for: Long-term, undetectable scraping, and avoiding blocks.
2. Data Center Proxies
   - IP addresses from servers in data centers.
   - Faster and cheaper than residential proxies but easier to detect and block.
   - Best for: High-speed scraping, but with a higher risk of detection.
3. Mobile Proxies
   - IPs provided by mobile carriers (3G/4G/5G networks).
   - Very difficult to detect, as they appear as regular mobile users.
   - Best for: Mobile-related scraping or avoiding sophisticated blocks.

#### Rotating Proxies vs. Straight Proxies

- Rotating Proxies: Every request you send goes through a different proxy, making it harder for websites to detect patterns.
- Straight Proxies: All requests are sent through the same proxy, making it easier to track your IP.

### About Rigel Bytes

Rigel Bytes specializes in web scraping, automation, and data analytics. We help businesses extract and leverage valuable data for informed decision-making.

### Contact Us

Ready to unlock the power of data? Reach out to us at (contact@rigelbytes.com) or [book an appointment](https://cal.com/faizanali/appointments) with us to learn more about how we can help you achieve your data goals.

### Detailed Data

Below are sample records from the Aengevelt Scraper output:

```json
[
    {
        "id": 12345,
        "propertyId": 67890,
        "title": "Exklusive 3-Zimmer-Wohnung in Düsseldorf Stadtmitte",
        "objectType": "Wohnung",
        "objectSubType": "Eigentumswohnung",
        "locationText": "Düsseldorf · Stadtmitte",
        "location": "Düsseldorf",
        "partOfTown": "Stadtmitte",
        "latitude": 51.2254,
        "longitude": 6.7763,
        "zip": "40213",
        "descriptionText": "Hochwertige 3-Zimmer-Wohnung im Herzen von Düsseldorf mit moderner Ausstattung und Balkon.",
        "slug": "exklusive-3-zimmer-wohnung-in-dusseldorf-stadtmitte",
        "url": "https://www.aengevelt.com/immobilien/exklusive-3-zimmer-wohnung-in-dusseldorf-stadtmitte/",
        "state": "active",
        "purchasePrice": 450000,
        "rent": null,
        "livingSpace": 85.5,
        "rooms": 3,
        "condition": "Erstbezug",
        "availableFrom": "2026-09-01",
        "priceOnApplication": false,
        "contactPerson": {
            "name": "Max Mustermann",
            "phone": "+49 211 123456",
            "email": "max@aengevelt.com"
        },
        "vendor": {
            "name": "Aengevelt Immobilien GmbH & Co. KG"
        },
        "images": [
            {
                "src": "exklusive-3-zimmer-wohnung-1.jpg",
                "url": "https://res.cloudinary.com/aengevelt/image/upload/w_800,h_600/live/exklusive-3-zimmer-wohnung-1.jpg",
                "width": 800,
                "height": 600
            }
        ]
    }
]
```

# Actor input Schema

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

Aengevelt listings page URL used to determine total property count.

## `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.aengevelt.com/immobilien/",
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `listings` (type: `string`):

Dataset containing scraped Aengevelt property listings

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

Aggregate scrape statistics including record count and timestamps

# 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.aengevelt.com/immobilien/",
    "maxItems": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("rigelbytes/aengevelt-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.aengevelt.com/immobilien/",
    "maxItems": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("rigelbytes/aengevelt-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 '{
  "url": "https://www.aengevelt.com/immobilien/",
  "maxItems": 100
}' |
apify call rigelbytes/aengevelt-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Aengevelt Scraper — German Real Estate Property Listings",
        "description": "Extract property listings from Aengevelt Immobilien. Get pricing, location, contact data, and images from Germany's leading real estate platform — from $2/1,000 listings.",
        "version": "1.0",
        "x-build-id": "0aFGk6ktg6zqSKJwT"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/rigelbytes~aengevelt-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-rigelbytes-aengevelt-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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/rigelbytes~aengevelt-scraper/runs": {
            "post": {
                "operationId": "runs-sync-rigelbytes-aengevelt-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/rigelbytes~aengevelt-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-rigelbytes-aengevelt-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": [
                    "url"
                ],
                "properties": {
                    "url": {
                        "title": "Listings URL",
                        "type": "string",
                        "description": "Aengevelt listings page URL used to determine total property count.",
                        "default": "https://www.aengevelt.com/immobilien/"
                    },
                    "maxItems": {
                        "title": "Max Items",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Maximum number of property listings to scrape (0 = unlimited).",
                        "default": 0
                    },
                    "proxyConfiguration": {
                        "title": "Proxy Configuration",
                        "type": "object",
                        "description": "Proxy settings for anti-bot protection.",
                        "default": {
                            "useApifyProxy": true,
                            "apifyProxyGroups": [
                                "RESIDENTIAL"
                            ]
                        }
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
