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ImmoScout24 API Pro

Pricing

$35.00/month + usage

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ImmoScout24 API Pro

ImmoScout24 API Pro

Developed by

ClearPath

ClearPath

Maintained by Community

Professional ImmoScout24 API scraper with 50+ data points per property. Extract realtor contact info, investment data, detailed amenities. Perfect for real estate investors, property managers & market research. Enterprise-grade German property intelligence.

0.0 (0)

Pricing

$35.00/month + usage

0

Total users

1

Monthly users

1

Runs succeeded

>99%

Last modified

2 hours ago

You can access the ImmoScout24 API Pro programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

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"paths": {
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"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
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"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"startUrls"
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"properties": {
"startUrls": {
"title": "The URLs to scrape (use browser URLs with applied filters you want, e.g. min number of rooms, max rent, etc.)",
"type": "array",
"description": "List of ImmoScout24 search URLs to scrape",
"items": {
"type": "string"
}
},
"monitorMode": {
"title": "Monitor Mode",
"type": "boolean",
"description": "Enable monitor mode to only return new listings since the last run",
"default": false
},
"pageLimit": {
"title": "Page Limit",
"minimum": 0,
"type": "integer",
"description": "Maximum number of pages to scrape (0 = unlimited, each page has ~20-25 listings)",
"default": 0
},
"telegramUserId": {
"title": "Telegram User ID",
"type": "string",
"description": "Optional: Your Telegram user ID for notifications (only used in monitor mode). Get it from @userinfobot"
},
"telegramNotificationLimit": {
"title": "Telegram Notification Limit",
"minimum": 1,
"maximum": 50,
"type": "integer",
"description": "Maximum number of Telegram notifications per run (prevents spam)",
"default": 10
},
"proxyConfiguration": {
"title": "Proxy configuration",
"type": "object",
"description": "Select proxies to be used by your crawler."
}
}
},
"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
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"memoryMbytes": {
"type": "integer",
"example": 1024
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"diskMbytes": {
"type": "integer",
"example": 2048
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},
"buildId": {
"type": "string"
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"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
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"defaultRequestQueueId": {
"type": "string"
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"buildNumber": {
"type": "string",
"example": "1.0.0"
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"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
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"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",
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"type": "integer",
"example": 0
},
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"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": {
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"type": "integer",
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"type": "integer",
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}
}

ImmoScout24 API Pro OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for ImmoScout24 API Pro from the options below:

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients: