# AI Real Estate Floor Plan Analyzer & Property Listing Generator (`ai-marzoni/ai-real-estate-floor-plan-listing-generator`) Actor

Instantly analyze floor plan images or property notes to generate room breakdowns, architectural staging insights, Zillow/Airbnb listings & social posts in bulk.

- **URL**: https://apify.com/ai-marzoni/ai-real-estate-floor-plan-listing-generator.md
- **Developed by:** [AI MARZONI](https://apify.com/ai-marzoni) (community)
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $30.00 / 1,000 results

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

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

## AI Real Estate Floor Plan Analyzer & Property Listing Generator

Instantly transform floor plan images or raw property notes into **structured room breakdowns, architectural staging insights, and high-converting real estate listings** in bulk.

### Key Features

- **AI Vision Floor Plan & Space Breakdown:** Identifies room distribution, day/night zoning, and circulation flow from image URLs or technical notes.
- **Architectural & Interior Staging Advice:** Actionable staging recommendations in **Modern Luxury, Japandi, Minimalist, Scandinavian, or Industrial** styles.
- **Portal-Ready Real Estate Listings:** Persuasive descriptions formatted for Zillow, Realtor, SeLoger, Rightmove, and Property Finder.
- **Airbnb & Investor Pitch:** Short, high-converting copy for short-term rentals and real estate investors.
- **Social Media Caption:** Ready-to-post Instagram, Facebook, and LinkedIn copy with hashtags.
- **Multi-Language Support:** Generate listings in English, French, Spanish, German, or Arabic.

### How to Use

1. Paste your floor plan image URLs (`https://...`) or raw property notes in **Floor Plan Image URLs or Property Notes**.
2. Select your **Real Estate Objective**, **Interior Staging Style**, and **Output Language**.
3. Click **Start** and export your results to **Excel, CSV, or JSON**.

# Actor input Schema

## `properties` (type: `array`):

Paste floor plan image URLs (https://...) and/or raw property notes (surface, rooms, orientation, neighborhood, features).

## `listingType` (type: `string`):

Target market for the analysis and listing.

## `designStyle` (type: `string`):

Preferred interior architecture style to suggest for staging or renovation.

## `language` (type: `string`):

Language of the generated analysis and listings.

## Actor input object example

```json
{
  "properties": [
    "3-bedroom modern apartment, 115 sqm, open-plan kitchen & living room (42 sqm) facing South-West, master suite with walk-in closet and private bathroom, 12 sqm terrace, underground parking.",
    "Commercial corner unit / showroom, 180 sqm ground floor + 60 sqm mezzanine, 12m glass facade on main boulevard, high ceilings (4.2m), ideal for clinic, showroom, or modern offices."
  ],
  "listingType": "Residential Sale (Zillow / Real Estate Portals)",
  "designStyle": "Modern Luxury",
  "language": "English"
}
```

# Actor output Schema

## `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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("ai-marzoni/ai-real-estate-floor-plan-listing-generator").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("ai-marzoni/ai-real-estate-floor-plan-listing-generator").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 '{}' |
apify call ai-marzoni/ai-real-estate-floor-plan-listing-generator --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,ai-marzoni/ai-real-estate-floor-plan-listing-generator"
        }
    }
}
```

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/FMdTyWq2Ngybc5M0v/builds/Px0YUddlQzmNeNBRw/openapi.json