# Ingatlan.com HU Property Listings (`bakos_bence/ingatlan-com`) Actor

Scrape ingatlan.com sale and rent listings — HUF prices, area, rooms, and districts. Unofficial — not affiliated with ingatlan.com.

- **URL**: https://apify.com/bakos\_bence/ingatlan-com.md
- **Developed by:** [Bakos Bence](https://apify.com/bakos_bence) (community)
- **Categories:** Real estate
- **Stats:** 2 total users, 1 monthly users, 77.8% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.87 / 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?

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

### What does Ingatlan.com Listings Scraper do?

**Scrape ingatlan.com sale and rent listings** — **HUF prices with currency, area, rooms, districts, and listing URLs**. Click **Start** on the prefilled Budapest apartment search (`maxResults` 5).

**Unofficial.** This Actor is **not affiliated with, endorsed by, or maintained by ingatlan.com** (Ingatlan.com Zrt.). It reads **public** search listing cards only — no login, no paywall bypass, no Turnstile “reveal” of agent numbers.

**Dashboards:** connect **Power BI**, **Tableau**, **Looker Studio**, or **Qlik** to the dataset API — see *Export to Power BI, Tableau, Looker Studio & Qlik* near the end. **AI agents:** paste this Actor’s Store page URL into an Apify-capable agent (MCP / Claude / Cursor with Apify), create an Apify account and API token once, and the agent can run the Actor and wire up the output.

Drop-in dataset keys for [`studio-amba/ingatlan-scraper`](https://apify.com/studio-amba/ingatlan-scraper) (`listingTitle`, `address`, `agencyUrl`, `balcony`, `pricePerSqm`, …). **`agencyName` is office/developer names only** — named-person seller names are omitted. Named-person phones and emails are **never** emitted (legal > drop-in).

#### Why use this Ingatlan scraper?

- 🏠 `listingType`, `propertyType`, location expression filters
- 💶 HUF prices kept **with currency**
- 🏢 Agency **profile URL** and org `agencyName` from search cards when present
- 🛡️ Apify RESIDENTIAL (HU) proxy recommended for `/lista/` stability

#### How to scrape ingatlan.com listings

1. Open this Actor in [Apify Console](https://console.apify.com/).
2. Click **Start** on Budapest `lakas` for sale (`maxResults` 5).
3. Leave `fetchAgentContact` off (PDPs are usually Cloudflare 403; personal phones are not collected).
4. Export the dataset or pull via API.

```json
{
  "listingType": "elado",
  "propertyType": "lakas",
  "location": "budapest",
  "maxResults": 5,
  "fetchAgentContact": false,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "HU"
  }
}
```

#### How much does it cost?

**Pay per event (PPE):** Actor start + each listing **result**. On Free, results are about **$1.70 / 1,000**; paid plans are lower (see the Pricing tab).

#### Input

| Field | Description |
|-------|-------------|
| `listingType` | `elado` (sale) or `kiado` (rent) |
| `propertyType` | `lakas`, `haz`, … |
| `location` | Budapest district or region expression |
| `maxResults` | Listing cap (prefill 5) |
| `fetchAgentContact` | Ignored for personal phones/emails (legal) |
| `proxyConfiguration` | Apify RESIDENTIAL HU recommended |

#### Sample output

```json
{
  "listingId": "37654321",
  "listingTitle": "Budapest, XIII. kerület, Váci út",
  "title": "Budapest, XIII. kerület, Váci út",
  "price": 45900000,
  "currency": "HUF",
  "pricePerSqm": 1973291,
  "listingType": "sale",
  "propertyType": "lakas",
  "address": "Budapest, XIII. kerület, Váci út",
  "city": "Budapest",
  "district": "XIII. kerület",
  "rooms": 2,
  "halfRooms": 1,
  "surface": 48,
  "landSurface": null,
  "floor": "3. emelet",
  "condition": null,
  "heating": null,
  "energyRating": null,
  "balcony": true,
  "parking": null,
  "agencyName": "OTP Ingatlanpont",
  "agencyUrl": "https://iroda.ingatlan.com/otp-ingatlanpont",
  "imageUrl": "https://atmedia.hu/example.jpg",
  "imageUrls": ["https://atmedia.hu/example.jpg"],
  "description": null,
  "url": "https://ingatlan.com/37654321",
  "scrapedAt": "2026-08-27T12:00:00+00:00"
}
```

`description` is often null on search cards (detail pages are Cloudflare-gated). `agencyName` is null when the card only shows a private person’s name.

#### Legal gap vs competitor drop-in

`studio-amba/ingatlan-scraper` may include named-person `agencyName` and agent phones. This Actor **omits** personal names, phones, and emails of natural persons. Office/developer names and public agency profile URLs are kept.

#### FAQ

##### Do I need an ingatlan.com account?

No — this reads **public** `/lista/` search cards. It is unofficial and not affiliated with ingatlan.com.

##### Can AI agents call this?

Yes — Apify API or [MCP](https://mcp.apify.com) with Actor ID `bakos_bence/ingatlan-com`.

##### Something broken?

Open the **Issues** tab on this Actor’s page in Apify Console.

#### Related Actors

| Actor | Use together when… |
|-------|-------------------|
| [Ingatlan.com Listings Scraper](https://apify.com/bakos_bence/ingatlan-com) | *(this Actor)* — ingatlan.com search → listing rows |
| [Zenga.hu HU Property Listings](https://apify.com/bakos_bence/zenga-listings) | You also want OTP Otthon / zenga.hu with a **private vs agency** filter |
| [Otodom.pl Listings](https://apify.com/bakos_bence/otodom-listings) | You compare HU comps with Poland’s Otodom |

Profile: [bakos\_bence on Apify](https://apify.com/bakos_bence)

**Actor ID:** `bakos_bence/ingatlan-com`

#### Export to Power BI, Tableau, Looker Studio & Qlik

After a run, rows live in an Apify **dataset**. You can download JSON/CSV/Excel from the Dataset tab, or point BI tools at a **CSV URL** that refreshes when you scrape again.

**Prefer the token in the URL** (`token=`) — most tools only need “open this link as CSV”, with no custom headers.

##### Build a refreshable CSV URL

1. In Apify Console, open **Settings → Integrations** and copy an API token.
2. Save this Actor as a **Task** (optional but best for dashboards), run or **schedule** it once so there is a successful run.
3. Use the **latest successful task run** URL (replace `TASK_ID` and `YOUR_TOKEN`):

```text
https://api.apify.com/v2/actor-tasks/TASK_ID/runs/last/dataset/items?format=csv&clean=true&status=SUCCEEDED&token=YOUR_TOKEN
```

Or, from any finished run, open the **Dataset** tab, copy the dataset ID, and use:

```text
https://api.apify.com/v2/datasets/DATASET_ID/items?format=csv&clean=true&token=YOUR_TOKEN
```

Anyone with that URL can read the data — treat it like a password. For recurring dashboards, prefer the `actor-tasks/…/runs/last/…` form so refresh always hits the newest successful scrape.

##### Power BI

1. Open Power BI Desktop → **Home** → **Get data** → **Web**.
2. Paste the CSV URL (including `token=`).
3. When asked how to sign in, choose **Anonymous** → **Connect**.
4. Confirm the preview is a table (CSV). **Load** or **Transform data** as needed.
5. Publish / schedule refresh in the Power BI service using the same URL (task `runs/last` keeps it current after each scrape).

`401`: token missing/wrong, or you did not pick **Anonymous**.

##### Tableau

1. Install Tableau’s **REST API** connector from Tableau Exchange (Desktop **2023.3+**).
2. **Connect** → **To a Server** → **REST API**.
3. Paste the CSV URL (including `token=`). Set response format to **CSV**.
4. If the connector asks for auth and the token is already in the URL, leave credentials empty / anonymous; otherwise paste the same token as a Bearer access token.
5. Create an **extract**. Refresh the extract after scheduled Task runs (or point at `runs/last` so each refresh loads the latest success).

Plain **Text file** connect still works if you download CSV from the Dataset tab once — use REST when you want repeatable refresh.

##### Looker Studio

Looker Studio has no strong built-in “private CSV API” connector. Use Google Sheets as the bridge:

1. Create a Google Sheet. In **A1** enter:

```text
=IMPORTDATA("https://api.apify.com/v2/actor-tasks/TASK_ID/runs/last/dataset/items?format=csv&clean=true&status=SUCCEEDED&token=YOUR_TOKEN")
```

2. Wait until columns fill (Sheets refreshes IMPORTDATA periodically).
3. In Looker Studio → **Create** → **Report** → **Google Sheets** → select that spreadsheet / tab.
4. Build the report. After each Actor/Task run, refresh the Sheet (or wait for IMPORTDATA) then refresh the Looker data source.

One-off alternative: Dataset tab → download CSV → Looker Studio **File upload**.

##### Qlik

**REST connector** (refreshable):

1. In Qlik Cloud / Qlik Sense → **Add data** → **REST** (or create a REST connection in the Data load editor).
2. URL = the CSV URL including `token=`. Method **GET**.
3. Set the expected response type to **CSV** (or use `format=json` and JSON mode).
4. **Test connection**, pick the table, **Add** / **Load**.
5. **Reload** the app after scheduled scrapes; with `runs/last`, each reload pulls the latest successful dataset.

**Files:** Dataset tab → download CSV → **Add data** → upload the file (fine for a single snapshot).

#### SEO keywords

ingatlan scraper, ingatlan.com api, budapest property scraper, hungary real estate listings

# Actor input Schema

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

Choose for sale (elado) or for rent (kiado).

## `location` (type: `string`):

Enter a location slug (e.g. budapest).

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

Pick the property type (lakas, haz, …).

## `minPrice` (type: `integer`):

Set a minimum price in HUF, or leave empty.

## `maxPrice` (type: `integer`):

Set a maximum price in HUF, or leave empty.

## `minSize` (type: `integer`):

Set a minimum size in m², or leave empty.

## `maxSize` (type: `integer`):

Set a maximum size in m², or leave empty.

## `minRooms` (type: `number`):

Set a minimum room count, or leave empty.

## `maxRooms` (type: `number`):

Set a maximum room count, or leave empty.

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

Cap listings. Prefill 5 for a cheap first run.

## `fetchAgentContact` (type: `boolean`):

Leave off. Named-person phones and emails are never emitted. Detail pages are usually Cloudflare 403.

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

Keep Apify Residential + HU for /lista/ stability.

## Actor input object example

```json
{
  "listingType": "elado",
  "location": "budapest",
  "propertyType": "lakas",
  "maxResults": 5,
  "fetchAgentContact": false,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "HU"
  }
}
```

# Actor output Schema

## `overview` (type: `string`):

Dataset items

# 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": "elado",
    "location": "budapest",
    "propertyType": "lakas",
    "maxResults": 5,
    "fetchAgentContact": false,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ],
        "apifyProxyCountry": "HU"
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("bakos_bence/ingatlan-com").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": "elado",
    "location": "budapest",
    "propertyType": "lakas",
    "maxResults": 5,
    "fetchAgentContact": False,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
        "apifyProxyCountry": "HU",
    },
}

# Run the Actor and wait for it to finish
run = client.actor("bakos_bence/ingatlan-com").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": "elado",
  "location": "budapest",
  "propertyType": "lakas",
  "maxResults": 5,
  "fetchAgentContact": false,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "HU"
  }
}' |
apify call bakos_bence/ingatlan-com --silent --output-dataset

```

## MCP server setup

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

```

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/v8Z9LPL8BgqrIMStr/builds/3RJa123qh7nVGHm0R/openapi.json