# Dubai Property Market Analytics (`waseem9/dubai-property-analytics`) Actor

Turn Dubai PropertyFinder listings into market analytics by community: listing counts, median price, median price per sqft, median size and days on market. Built for investors, agents and property analysts who need area-level intelligence, not raw rows.

- **URL**: https://apify.com/waseem9/dubai-property-analytics.md
- **Developed by:** [Waseem Ahmed](https://apify.com/waseem9) (community)
- **Categories:** Real estate, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$30.00 / 1,000 community reports

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?

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

## Dubai Property Market Analytics

**Turn Dubai PropertyFinder listings into community-level market intelligence — median price, price per sqft, size and days-on-market — in one run.**

Built for investors, agents and property analysts who need *area intelligence*, not a raw dump of listings.

### What you get

- 🏘️ **One row per community** — listing count, median price, median price/sqft, median size, median days-on-market, min/max price
- 📊 **Summary row** — communities covered, listings scanned, city-wide median, busiest area
- 💹 **Live prices** — real asking prices in AED, no stale cache
- 🎯 **Any emirate** — Dubai, Abu Dhabi, Sharjah and more; rent or buy; apartments, villas, townhouses, penthouses

### Sample output

```json
{
  "type": "community", "community": "Dubai Marina", "city": "Dubai",
  "listings": 16, "medianPrice": 1900000, "medianPricePerSqft": 1716.17,
  "medianSizeSqft": 1107, "medianDaysOnMarket": 16,
  "minPrice": 1150000, "maxPrice": 4500000, "currency": "AED"
}
```

### Input

| Field | What it does |
|-------|--------------|
| Rent or buy | Analyse the rental or sales market |
| Emirate | Dubai, Abu Dhabi, Sharjah, Ajman, RAK, Fujairah, UAQ, Al Ain |
| Property type | Apartments, villas, townhouses, penthouses |
| Area slugs | Optional: dubai-marina, downtown-dubai, … |
| Listings to scan | Sample size for the medians |
| Min listings per community | Filter out thin areas |

### What people use it for

- **Investors** — find under- and over-priced communities by price/sqft
- **Agents** — quote accurate area medians to buyers and landlords
- **Proptech / analysts** — feed a market dashboard or valuation model
- **Landlords** — benchmark rents before listing

*Public listing data only. Medians, no personal data.*

# Actor input Schema

## `purpose` (type: `string`):

Analyse the rental market or the sales market.

## `emirate` (type: `string`):

Which emirate to analyse.

## `propertyType` (type: `string`):

Type of property.

## `areas` (type: `array`):

Limit to specific area slugs, e.g. dubai-marina, downtown-dubai. Leave empty to scan the whole emirate.

## `maxListings` (type: `integer`):

How many listings to sample for the analytics. More = more accurate community medians.

## `minListingsPerArea` (type: `integer`):

Only output communities with at least this many listings (filters out thin, unreliable areas).

## Actor input object example

```json
{
  "purpose": "buy",
  "emirate": "dubai",
  "propertyType": "apartments",
  "maxListings": 600,
  "minListingsPerArea": 5
}
```

# Actor output Schema

## `analytics` (type: `string`):

Community analytics rows.

# 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("waseem9/dubai-property-analytics").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("waseem9/dubai-property-analytics").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 waseem9/dubai-property-analytics --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,waseem9/dubai-property-analytics"
        }
    }
}
```

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/jSKyq7e76SyPucNfM/builds/6xie9RucIrlvSNKwk/openapi.json