# Smart Real Estate Extractor (`ms-automations/smart-real-estate-extractor`) Actor

Extractor universal y sin configuración de datos inmobiliarios (JSON-LD, OpenGraph/meta tags y fallback opcional con IA).

- **URL**: https://apify.com/ms-automations/smart-real-estate-extractor.md
- **Developed by:** [Manuel Salazar](https://apify.com/ms-automations) (community)
- **Categories:** Real estate, AI
- **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 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.

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

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## 🏠 Real Estate Data Extractor Pro (With AI Fallback)

Extract high-quality real estate data from global portals (Zillow, Idealista, and more) with maximum reliability. Built with smart anti-bot measures and an automatic AI fallback to ensure no field is left blank.

***

### ✨ Key Features

- **Hybrid Extraction Engine:** Uses standard JSON-LD parsing for ultra-fast performance.
- **AI Fallback (Claude Haiku 4.5 / GPT-4o mini):** Automatically scans the listing description with AI whenever key fields (like bedrooms or bathrooms) are missing.
- **Anti-Bot Protection:** Pre-configured with Apify Residential Proxies and automatic retries to bypass strict anti-scraping systems (403 errors).
- **Zero Configuration Needed:** Simply enter your target URLs and run.

***

### 📊 Extracted Data Fields

| Field | Type | Description |
| :--- | :--- | :--- |
| `title` | String | Title of the property listing |
| `price` | Number | Listing price |
| `currency` | String | Currency code (USD, EUR, etc.) |
| `address` | String | Full property address |
| `bedrooms` | Number | Total number of bedrooms |
| `bathrooms` | Number | Total number of bathrooms |
| `sqft_or_m2` | Number | Total living area size |
| `extractionMethod` | String | Indicates if data came from `json-ld` or `json-ld + ai-fallback` |

***

### 🚀 How to Use

1. Paste your target listing URLs into the **Start URLs** input field.
2. Select your max items limit.
3. Keep the **AI Fallback** option toggled ON for maximum data completeness.
4. Click **Start** and export your structured data in JSON, CSV, or Excel!

# Actor input Schema

## `startUrls` (type: `array`):

Añade las URLs de las propiedades específicas o de los resultados de búsqueda que deseas extraer.

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

Número máximo de propiedades a extraer. Útil para controlar el uso y los costos.

## `useAiFallback` (type: `boolean`):

Si la extracción estándar falla al encontrar habitaciones o baños, la IA analizará la descripción para rescatar los datos.

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

Selecciona los proxies para evitar el error '403 Forbidden'. Se recomiendan Proxies Residenciales para sitios inmobiliarios.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.zillow.com/homedetails/11-W-53rd-St-APT-15-New-York-NY-10019/31533036_zpid/"
    }
  ],
  "maxItems": 50,
  "useAiFallback": true,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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 = {
    "startUrls": [
        {
            "url": "https://www.zillow.com/homedetails/11-W-53rd-St-APT-15-New-York-NY-10019/31533036_zpid/"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("ms-automations/smart-real-estate-extractor").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 = { "startUrls": [{ "url": "https://www.zillow.com/homedetails/11-W-53rd-St-APT-15-New-York-NY-10019/31533036_zpid/" }] }

# Run the Actor and wait for it to finish
run = client.actor("ms-automations/smart-real-estate-extractor").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 '{
  "startUrls": [
    {
      "url": "https://www.zillow.com/homedetails/11-W-53rd-St-APT-15-New-York-NY-10019/31533036_zpid/"
    }
  ]
}' |
apify call ms-automations/smart-real-estate-extractor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,ms-automations/smart-real-estate-extractor"
        }
    }
}

```

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/ghBzOg0PiLuh2Jigq/builds/eZu7p1BfKkVfmgwYL/openapi.json