# Emlakjet Scraper — Turkey Property Listings & Prices (`logiover/emlakjet-turkey-property-scraper`) Actor

Scrape Emlakjet.com, a leading Turkish property portal. Extract asking price in TRY, room count, square metres, floor, neighbourhood, district and province, price per square metre, listing date and photos. Sale and rent across homes, offices, land and daily rentals in all 81 provinces. No API key.

- **URL**: https://apify.com/logiover/emlakjet-turkey-property-scraper.md
- **Developed by:** [Logiover](https://apify.com/logiover) (community)
- **Categories:** Real estate
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.50 / 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/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

## Emlakjet Scraper — Turkey Property Listings, Prices & Locations

Turkish property listings in rows: asking price in lira, room count, square metres, floor, neighbourhood and district — plus the price per square metre computed for you.

### What does the Emlakjet Scraper do?

This Actor collects live property listings from **Emlakjet.com**, one of Turkey's leading property portals. Every result page embeds its 30 listings as structured JSON-LD objects with the card's attribute strip attached, so the Actor reads them directly instead of guessing at selectors. Those attributes come as Turkish label and value pairs rather than typed fields, and are translated into proper columns here: `Oda Sayısı` becomes a room count, `Metrekare` becomes an integer square-metre value, and `Konum` is split into neighbourhood and district.

Choose a listing section — homes for sale or rent, commercial, land, daily rentals and more — then list one or more provinces or districts exactly as they appear in an Emlakjet URL. Each location is crawled as its own search, so `istanbul,ankara,izmir` in one run means three complete crawls rather than one truncated one. Price per square metre is computed on every row, which is the number Turkish buyers and investors actually compare.

### Who is it for?

- **Property investors** comparing price per square metre between Istanbul districts, Ankara and the coast.
- **Estate agencies and proptech teams** benchmarking asking prices in a market where inflation moves them monthly.
- **Developers** sizing pricing for a new project against live comparable stock.
- **Analysts and journalists** tracking Turkish house prices with listing-level evidence.
- **Relocation and residency advisers** — Turkey's residence-by-investment route runs on property prices.

### Use cases

- Track price per square metre by Istanbul district, month over month, in a high-inflation market.
- Compare sale prices against rental asking prices in the same district to estimate gross yield.
- Build a dataset of new listings by watching `datePosted` on a daily schedule.
- Screen land listings by district to find plots under a price-per-square-metre threshold.
- Compare daily-rental supply in coastal provinces before the season.
- Feed an AI agent live Turkish listings so it can answer "what does a 3+1 in Kadıköy cost?".

### Why use this Emlakjet Scraper?

- **Price per square metre computed on every row** — the comparison Turkish buyers actually make.
- **Turkish attributes translated into columns**: rooms, square metres, floor, neighbourhood, district.
- **Every province and district**, each crawled as its own search so several fit in one run.
- **Ten listing sections** — sale and rent, homes, commercial, land, daily rentals, buildings, timeshare and tourism property.
- **Keyless and login-free** — nothing to register, nothing to rotate.
- **Full field coverage**: in testing, every core column came back filled on every row.

### What data can you extract?

One row per listing. Anything the source left blank comes back as `null`.

| Field | Type | Description |
|---|---|---|
| `listingId` | string | Emlakjet listing number |
| `url` | string | Direct link to the listing |
| `title` | string | Listing headline as the advertiser wrote it |
| `price` | number | Asking price in Turkish lira |
| `currency` | string | Currency, normally TRY |
| `listingType` | string | Listing type as Emlakjet labels it, e.g. Satılık Konut (home for sale) |
| `rooms` | string | Room count in Turkish notation, e.g. 3+1 |
| `areaSqm` | number | Area in square metres |
| `floor` | string | Floor the property is on, e.g. 3. Kat |
| `neighbourhood` | string | Neighbourhood (mahalle) |
| `district` | string | District (ilçe) |
| `province` | string | Province, taken from the location you requested |
| `locationText` | string | Location exactly as displayed |
| `pricePerSqm` | number | Asking price divided by area, in lira per m² |
| `listingTag` | string | Emlakjet badge such as YENİ (new) or ÖNE ÇIKAN (featured) |
| `datePosted` | string | Date the listing was published |
| `imageUrl` | string | Listing photo |
| `scrapedAt` | string | When this row was collected |

#### Sample output

```json
{
  "listingId": "19727527",
  "url": "https://www.emlakjet.com/ilan/han-emlak-tan-ethemefendi-de-31-ebeveynli-ultra-luks-yeni-bina-19727527",
  "title": "Han Emlak'tan Ethemefendi'de 3+1 Ebeveynli Ultra Lüks Yeni Bina!",
  "price": 22450000,
  "currency": "TRY",
  "listingType": "Satılık Konut",
  "rooms": "3+1",
  "areaSqm": 140,
  "floor": "3. Kat",
  "neighbourhood": "Erenköy Mahallesi",
  "district": "Kadıköy",
  "province": "Istanbul",
  "locationText": "Erenköy Mahallesi, Kadıköy",
  "pricePerSqm": 160357,
  "listingTag": "YENİ",
  "datePosted": "2026-08-14",
  "attributes": null,
  "imageUrl": "https://imaj.emlakjet.com/resize/640/0/listing/19727527/114017B26E353CF4C475F1C1B47211AA19727527.jpg",
  "scrapedAt": "2026-08-15T08:00:54.705Z"
}
```

### How to use the Emlakjet Scraper

#### Option A — a whole province

Select a listing type and enter a province slug such as `istanbul`, `ankara` or `izmir`. The Actor pages through 30 listings at a time.

#### Option B — specific districts

Use district slugs exactly as Emlakjet writes them: `istanbul-kadikoy`, `istanbul-besiktas`, `antalya-alanya`, `ankara-cankaya`. List several, comma-separated, and each is crawled separately.

#### Option C — sale versus rent in the same area

Run the Actor twice over the same districts, once with homes for sale and once with homes to rent, then join on district to estimate gross rental yield.

### Input parameters

| Input | Type | Description |
|---|---|---|
| `listingType` | string | Which Emlakjet listing section to collect. Default: `"satilik-konut"`. |
| `locations` | string | Province or district slugs exactly as they appear in an Emlakjet URL, e.g. istanbul, ankara, izmir, istanbul-kadikoy, antalya-alanya. Each one is crawled as its own search, so several can be listed, separated by commas. Default: `"istanbul"`. |
| `maxResults` | integer | Stop after this many listings. Each page returns 30. Default: `500`. |
| `proxyConfiguration` | object | Emlakjet serves Turkish exits. Residential proxy pinned to Turkey is used automatically. |

### Tips for best results

- Location slugs must match the Emlakjet URL: `istanbul-kadikoy`, not `Kadıköy` or `kadikoy-istanbul`.
- Listing several locations is better than raising the result limit on one — each location gets its own full crawl.
- `pricePerSqm` is computed from the published price and area; where either is missing the column is left null rather than filled with a guess.
- Rental prices are monthly, so a `kiralik-konut` run and a `satilik-konut` run should never be pooled into one price column.
- `listingTag` marks featured and new listings, which is useful for spotting what agents are paying to promote.

### Integrations

Connect this Actor to Make, Zapier, n8n, Slack, Google Sheets, GitHub, Airtable or any HTTP endpoint through Apify integrations. Every finished run can push its dataset straight into your warehouse, or fire a webhook so a downstream job starts the moment the data lands.

### API usage

Run the Actor from your own code with the Apify API. Datasets can be exported as JSON, CSV, Excel, XML, RSS or HTML, and every run is available through the [Apify API reference](https://docs.apify.com/api/v2).

```bash
curl -X POST "https://api.apify.com/v2/acts/logiover~emlakjet-turkey-property-scraper/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"input": {"listingType": "satilik-konut", "locations": "istanbul-kadikoy,ankara-cankaya", "maxResults": 1000, "proxyConfiguration": {"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "TR"}}}'
```

Python, JavaScript, PHP and CLI clients are documented under [Apify API clients](https://docs.apify.com/api/client).

### Use with AI agents (MCP)

This Actor is callable from any MCP-compatible client — Claude, Cursor, VS Code or your own agent — through the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp). An agent can call it to answer live questions about Turkish property asking prices, price per square metre and district-level supply instead of guessing from stale training data.

### FAQ

#### Do I need an Emlakjet account or API key?

No. The Actor reads public listing data with no login and no key.

#### Which locations are supported?

All 81 provinces and their districts. Use the slug exactly as it appears in the Emlakjet URL, e.g. `istanbul` or `istanbul-kadikoy`.

#### How many listings can one run return?

Emlakjet carries hundreds of thousands of listings. Each page returns 30, and listing several locations multiplies what a single run reaches.

#### What currency are prices in?

Turkish lira (TRY) as published. Rental prices are monthly.

#### Can I get the agent or agency contact details?

No. Emlakjet does not publish agency contact details on its result cards, so this Actor does not claim a column it cannot fill honestly.

#### What does `3+1` mean?

Turkish room notation: three rooms plus a living room. `2+1` is two rooms plus a living room, and so on.

#### Why did my run return zero listings?

Almost always a location slug that does not exist. Open the location on Emlakjet and copy the slug from the address bar.

#### Is the data in Turkish?

Yes. Titles, room notation and location names are published in Turkish and collected as written.

#### Can I export to CSV or Excel?

Yes. Every run's dataset exports as JSON, CSV, Excel, XML, RSS or HTML from the Storage tab, the API, or automatically through an integration.

#### How fresh is the data?

Every run reads the site live at that moment, so the data is as fresh as the site itself. Schedule the Actor hourly, daily or weekly to build a time series.

#### How often is the Actor updated?

It is monitored and fixed when the site changes its markup or its endpoints. Report anything that looks wrong through the Issues tab and it gets picked up.

### Is it legal to scrape Emlakjet?

This Actor collects only publicly available information — the same pages any visitor can open without logging in. It does not bypass a login, and it does not touch private or personal accounts. Public data collection is legal in most jurisdictions, but how you *use* the data is your responsibility: if any record contains personal data, GDPR and comparable laws still apply, and you need a lawful basis for processing it. When in doubt, take legal advice. See Apify's [ethical web scraping](https://blog.apify.com/what-is-ethical-web-scraping-and-how-do-you-do-it/) guide.

### Related scrapers

- [Zameen Scraper](https://apify.com/logiover/zameen-property-scraper) — Pakistani property with agent phone numbers.
- [Bayut Scraper](https://apify.com/logiover/bayut-scraper) — UAE property listings.
- [Imot.bg Scraper](https://apify.com/logiover/imot-bg-scraper-bulgaria-real-estate) — Bulgarian property.
- [Spitogatos Scraper](https://apify.com/logiover/spitogatos-gr-real-estate-scraper-greece-properties-data) — Greek property.
- [Boligsiden Scraper](https://apify.com/logiover/boligsiden-denmark-property-scraper) — Danish property with agent contacts.

# Actor input Schema

## `listingType` (type: `string`):

Which Emlakjet listing section to collect.

## `locations` (type: `string`):

Province or district slugs exactly as they appear in an Emlakjet URL, e.g. istanbul, ankara, izmir, istanbul-kadikoy, antalya-alanya. Each one is crawled as its own search, so several can be listed, separated by commas.

## `maxResults` (type: `integer`):

Stop after this many listings. Each page returns 30.

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

Emlakjet serves Turkish exits. Residential proxy pinned to Turkey is used automatically.

## Actor input object example

```json
{
  "listingType": "satilik-konut",
  "locations": "istanbul",
  "maxResults": 500,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "TR"
  }
}
```

# Actor output Schema

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

Every record collected in this run. Open the Dataset tab to browse, filter or export as JSON, CSV or Excel.

# 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 = {
    "listingType": "satilik-konut",
    "locations": "istanbul",
    "maxResults": 500,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ],
        "apifyProxyCountry": "TR"
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("logiover/emlakjet-turkey-property-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 = {
    "listingType": "satilik-konut",
    "locations": "istanbul",
    "maxResults": 500,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
        "apifyProxyCountry": "TR",
    },
}

# Run the Actor and wait for it to finish
run = client.actor("logiover/emlakjet-turkey-property-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 '{
  "listingType": "satilik-konut",
  "locations": "istanbul",
  "maxResults": 500,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "TR"
  }
}' |
apify call logiover/emlakjet-turkey-property-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,logiover/emlakjet-turkey-property-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/iRZtnhVw1CmiovAd0/builds/XqWChPzWO9vuW9Gmg/openapi.json