# Pakistan Property Listings — Zameen Homes, Price-Tracked (`alaudinburki/real-estate-pk`) Actor

Track homes for sale across Pakistan in one schema — price, area, bedrooms, location and link, with first_seen so you can see new listings and price changes.

- **URL**: https://apify.com/alaudinburki/real-estate-pk.md
- **Developed by:** [alaudin burki](https://apify.com/alaudinburki) (community)
- **Categories:** Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 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?

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

## Pakistan Property Listings — Zameen Homes, Price-Tracked

Track homes for sale across Pakistan in **one schema** — price, area, bedrooms, location, type and
link — with `firstSeenAt` so you can see what is newly listed and what has changed.

This is the geographic-arbitrage half of the property category: **Zillow already has 1,195 users** on
the Apify Store, while the Pakistan and Gulf portals are thinly served.

### What you get

**Default dataset — one row per listing**

| Field | Description |
|---|---|
| `id` | Stable id derived from the listing URL |
| `title` | Readable description from the listing slug |
| `city`, `type`, `purpose` | Lahore / `house` / `sale` or `rent` |
| `area`, `areaUnit` | e.g. `6` + `marla`, `10` + `marla`, `1` + `kanal` |
| `bedrooms` | Where the listing states it |
| `price` | PKR, parsed from the card — `null` when the card shows no price |
| `priceText` | The raw text, kept so nothing is lost |
| `url` | Direct link |
| `isNew`, `firstSeenAt`, `scrapedAt` | Change tracking |

**Dataset `market` — one row per city + type**

`city`, `type`, `listings`, `withPrice`, `priceLow`, `priceMedian`, `priceHigh`.

### Sample output

```json
{ "title": "al kabir town phase 2 3 marla platinum house", "area": 3, "areaUnit": "marla",
  "type": "house", "purpose": "sale", "city": "Lahore", "price": null }
```

```json
{ "city": "Lahore", "type": "house", "listings": 33, "withPrice": 1, "priceMedian": 250000000 }
```

### Limitations — read before buying

- **Price coverage is low.** In testing, **1 of 50** listings carried a readable price on the search
  page — Zameen renders prices from a client-side payload that is not in the HTML. `withPrice` on
  every `market` row tells you exactly how many prices the median is built on. **A median over one
  price is not a market.**
- **Zameen only.** Bayut returns **503** and Dubizzle a JavaScript shell on a plain request.
- **Cities are mapped by id** (Lahore 1, Karachi 2, Islamabad 3, Rawalpindi 4, Faisalabad 5, Multan 6,
  Peshawar 7, Quetta 8). Other cities are not mapped.
- **Area, bedrooms and type come from the listing URL slug**, so a listing whose slug omits them
  reports `null` rather than a guess.
- **Not an appraisal tool** — it reports what is listed and what is asked.

### Pricing

Pay per result.

# Actor input Schema

## `searches` (type: `array`):

City + type combinations to read. City must be one of Lahore, Karachi, Islamabad, Rawalpindi, Faisalabad, Multan, Peshawar, Quetta.

## `pagesPerSearch` (type: `integer`):

Zameen returns ~25 listings per page.

## `includeMarket` (type: `boolean`):

Write a second dataset grouped by city and type with the price band.

## `onlyNewSinceLastRun` (type: `boolean`):

Return only listings not seen before, and set isNew.

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

Stop after this many listings.

## Actor input object example

```json
{
  "searches": [
    {
      "city": "Lahore",
      "type": "Homes",
      "purpose": "sale"
    },
    {
      "city": "Karachi",
      "type": "Homes",
      "purpose": "sale"
    }
  ],
  "pagesPerSearch": 3,
  "includeMarket": true,
  "onlyNewSinceLastRun": false,
  "maxItems": 3000
}
```

# Actor output Schema

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

One row per item, with the 7 fields listed under Views.

# 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 = {
    "searches": [
        {
            "city": "Lahore",
            "type": "Homes",
            "purpose": "sale"
        },
        {
            "city": "Karachi",
            "type": "Homes",
            "purpose": "sale"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("alaudinburki/real-estate-pk").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 = { "searches": [
        {
            "city": "Lahore",
            "type": "Homes",
            "purpose": "sale",
        },
        {
            "city": "Karachi",
            "type": "Homes",
            "purpose": "sale",
        },
    ] }

# Run the Actor and wait for it to finish
run = client.actor("alaudinburki/real-estate-pk").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 '{
  "searches": [
    {
      "city": "Lahore",
      "type": "Homes",
      "purpose": "sale"
    },
    {
      "city": "Karachi",
      "type": "Homes",
      "purpose": "sale"
    }
  ]
}' |
apify call alaudinburki/real-estate-pk --silent --output-dataset

```

## MCP server setup

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

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/MXsupZfoa78Upug4A/builds/3FJcAqvUsaJle5CmE/openapi.json