# UAE Property Value Scanner (`glowing_glove/uae-property-value-scanner`) Actor

Scan UAE property search results for asking-price signals, area comparables, unit types, and broker/listing evidence for market research.

- **URL**: https://apify.com/glowing\_glove/uae-property-value-scanner.md
- **Developed by:** [Ushba Khan](https://apify.com/glowing_glove) (community)
- **Categories:** Real estate, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $25.00 / 1,000 processed uae property searches

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/platform/actors/running/actors-in-store#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

## UAE Property Value Scanner

This actor is built for UAE real-estate researchers, brokers, investors, relocation teams, and market analysts who need quick value signals.

It looks for public UAE listing evidence across property-result surfaces and extracts comparable listing hints instead of dumping raw pages.

### What it is useful for

- Use it to compare asking-price signals, listing types, area coverage, unit types, and broker/listing evidence before deeper valuation work.
- Building cleaner research exports from messy public web surfaces.
- Prioritizing prospects, pages, communities, or knowledge sources before manual review.
- Feeding structured records into spreadsheets, CRMs, dashboards, or automation workflows.

### Input

Provide one or more values in `propertySearches`.

```json
{
  "propertySearches": [
    "Dubai Marina 1 bedroom apartment",
    "Business Bay office rent"
  ],
  "maxItems": 8,
  "requestTimeoutSecs": 25,
  "maxConcurrency": 3
}
```

### Output you get

The dataset is intentionally compact and buyer-facing. Important fields include:

- `propertySearch`
- `market`
- `valueSignalLevel`
- `priceSignals`
- `listingComparables.propertyOrArea`
- `listingComparables.listingType`
- `listingComparables.unitType`
- `listingComparables.priceHint`
- `listingComparables.evidenceUrl`

### Practical workflow

1. Start with a small list of searches or URLs.
2. Review the first dataset rows and confirm the signals match your market.
3. Increase the input list for larger research batches.
4. Export the dataset to CSV, JSON, Google Sheets, or your automation pipeline.

### Notes and limitations

- The actor uses public web data and does not bypass login walls, private content, CAPTCHA, or protected dashboards.
- Public search snippets and pages can change, so results should be treated as research signals rather than legal, financial, or valuation advice.
- The output avoids raw HTML and noisy debug fields so buyers can act on the data immediately.

# Actor input Schema

## `propertySearches` (type: `array`):

Search phrases to process.

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

Maximum lead/results/chunks to keep per input.

## `requestTimeoutSecs` (type: `integer`):

Maximum time to wait for each public web request.

## `maxConcurrency` (type: `integer`):

How many inputs to process at the same time.

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

Optional Apify proxy configuration.

## Actor input object example

```json
{
  "propertySearches": [
    "Dubai Marina 1 bedroom apartment",
    "Business Bay office rent"
  ],
  "maxItems": 8,
  "requestTimeoutSecs": 25,
  "maxConcurrency": 3,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `results` (type: `string`):

No description

## `summary` (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 = {
    "propertySearches": [
        "Dubai Marina 1 bedroom apartment",
        "Business Bay office rent"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("glowing_glove/uae-property-value-scanner").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 = { "propertySearches": [
        "Dubai Marina 1 bedroom apartment",
        "Business Bay office rent",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("glowing_glove/uae-property-value-scanner").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "propertySearches": [
    "Dubai Marina 1 bedroom apartment",
    "Business Bay office rent"
  ]
}' |
apify call glowing_glove/uae-property-value-scanner --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=glowing_glove/uae-property-value-scanner",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/UqoUPvwIwijKkjxdc/builds/4S0RMOgenXNCZanfr/openapi.json