# Real Estate Property Data Scraper (`coder_zoro/real-estate-property-data-scraper`) Actor

Fetch real estate listings from multiple cities with ease. Filter by property type, status, sort order, and page count. Perfect for analysts, investors, or developers needing accurate, structured property data for research or automation.

- **URL**: https://apify.com/coder_zoro/real-estate-property-data-scraper.md
- **Developed by:** [Zoro](https://apify.com/coder_zoro) (community)
- **Categories:** Real estate
- **Stats:** 93 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.99 / 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/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

## 🏡 Real Estate Property Data Scraper

Fetch real estate property listings from multiple cities effortlessly! This tool allows you to filter by property type, listing status, sort order, and page count. Perfect for analysts, enthusiasts, or developers looking to work with structured property data.

***

### ⚡ Features

- Scrape listings for **one or more cities**.
- Filter by **property type**: House, Condo, Townhome, Multi-Family, Mobile, Farm, Land, or Any.
- Control **listing status**: For Sale, Sold, or All.
- Sort listings by:
  - Highest Price
  - Lowest Price
  - Newest
  - Year Built
  - Open Houses
  - Price Reduced
  - Largest Sqft
  - Largest Lot
  - Most Photos
- Fetch multiple pages per city.
- Get results as clean, structured JSON.

***

### 📝 Input JSON Schema

```json
{
  "cities": ["Los Angeles"],
  "page_count": 1,
  "property_type": "ANY",
  "sort_option": "highest price",
  "status": "for_sale"
}
```

#### Fields

| Field          | Type     | Description |
|----------------|----------|-------------|
| `cities`       | array    | List of cities to fetch property listings from. **Required** |
| `page_count`   | integer  | Number of pages per city (default: 1) |
| `property_type`| string   | Property type filter (default: ANY) |
| `sort_option`  | string   | Sorting option (default: highest price) |
| `status`       | string   | Listing status (default: for_sale) |

***

### 🏷 Output Example

```json
[
  {
    "city": "Los Angeles",
    "data": {
      "results": [
        {
          "property_id": "1046112528",
          "property_url": "https://example.com/property/1046112528",
          "status": "for_sale",
          "list_price": 190000000,
          "beds": 7,
          "baths": "20",
          "type": "single_family",
          "address": "10644 Bellagio Rd",
          "city": "Los Angeles",
          "state": "CA",
          "postal_code": "90077",
          "latitude": 34.080184,
          "longitude": -118.443899,
          "photo": "https://example.com/photo.jpg",
          "agent_name": "Jimmy Heckenberg",
          "agent_phone": "3106501116",
          "agent_email": "jimmy@example.com",
          "office_name": "Rodeo Realty",
          "list_date": "2025-10-10T16:15:35.000000Z"
        }
      ]
    }
  }
]
```

### 💡 Tips

- Use multiple cities in the `cities` array for bulk scraping.
- Stick to predefined `sort_option` values for accurate sorting.
- Increase `page_count` to fetch more data per city.

***

### 🎉 Enjoy!

Seamlessly collect property data for analysis, market tracking, or personal projects.

# Actor input Schema

## `cities` (type: `array`):

List of cities to fetch property listings from.

## `page_count` (type: `integer`):

How many pages to fetch per city.

## `property_type` (type: `string`):

Choose a specific property type or 'ANY' to include all.

## `sort_option` (type: `string`):

Select how the listings should be sorted (e.g., by price, date, or size).

## `status` (type: `string`):

Select listing status or ALL to include all.

## Actor input object example

```json
{
  "cities": [
    "Los Angeles"
  ],
  "page_count": 1,
  "property_type": "ANY",
  "sort_option": "relavant listings",
  "status": "for_sale"
}
```

# Actor output Schema

## `overview` (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 = {
    "cities": [
        "Los Angeles"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("coder_zoro/real-estate-property-data-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 = { "cities": ["Los Angeles"] }

# Run the Actor and wait for it to finish
run = client.actor("coder_zoro/real-estate-property-data-scraper").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 '{
  "cities": [
    "Los Angeles"
  ]
}' |
apify call coder_zoro/real-estate-property-data-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,coder_zoro/real-estate-property-data-scraper"
        }
    }
}
```

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/WYNo8OkEoNQDraXb4/builds/GJfeZgJRDij75FxTE/openapi.json