# Ingatlannet.hu HU Property Listings (`bakos_bence/ingatlannet`) Actor

Scrape Ingatlannet.hu sale and rent listings — HUF prices, area, rooms, city facet slugs. Unofficial — not affiliated with Ingatlannet.

- **URL**: https://apify.com/bakos\_bence/ingatlannet.md
- **Developed by:** [Bakos Bence](https://apify.com/bakos_bence) (community)
- **Categories:** Real estate
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.75 / 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 Ingatlannet.hu Listings Scraper do?

**Scrape [ingatlannet.hu](https://www.ingatlannet.hu/) sale and rent listings** via Next.js SSR + `_next/data` pagination — **HUF prices with currency, area, rooms, location, 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 Ingatlannet**. Seller **phones, emails, and natural-person names are never written** to the dataset.

**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.

#### Why use this Ingatlannet scraper?

- 🏠 Facet slugs (`elado-lakas-budapest`, `kiado-lakas-debrecen`, …) → `serverEstates` (16/page)
- 💶 HUF prices kept **with currency**
- 📐 Area (m²), rooms, estate type, optional cover image
- 🛡️ Apify **Residential + HU** proxy recommended

#### How to scrape ingatlannet.hu listings

1. Open this Actor in [Apify Console](https://console.apify.com/).
2. Click **Start** on the prefilled `elado-lakas-budapest` search (`maxResults` 5).
3. Keep Residential HU proxy on.
4. Export the dataset or pull via API.

```json
{
  "startSlugs": ["elado-lakas-budapest"],
  "maxResults": 5,
  "maxPagesPerSlug": 2,
  "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 **$1.50 / 1,000**; paid plans are lower (see the Pricing tab). Platform usage is included.

#### Input

| Field | Description |
|-------|-------------|
| `startSlugs` | Facet path slugs (prefill `elado-lakas-budapest`) |
| `maxResults` | Listing cap (prefill 5) |
| `maxPagesPerSlug` | Pages per slug (default 2; 16 listings/page) |
| `proxyConfiguration` | Apify Residential HU recommended |

#### Sample output

```json
{
  "listingId": "6913909",
  "title": "Eladó Téglalakás Budapest, XII. kerület, Farkasvölgy, 205 m²",
  "url": "https://www.ingatlannet.hu/elado-lakas-xii-kerulet-farkasvolgy/6913909",
  "price": 435000000,
  "currency": "HUF",
  "location": "Budapest, XII. kerület",
  "areaSqm": 205,
  "rooms": 4,
  "estateType": "2",
  "imageUrl": "https://pic01.ingatlannet.hu/ingatlan//2026/8/12/6913909-1.jpg",
  "scrapedAt": "2026-09-04T12:00:00+00:00",
  "source": "ingatlannet.hu",
  "slug": "elado-lakas-budapest"
}
```

#### Tips

- Slugs use **hyphens** (`elado-lakas-budapest`), not plus signs.
- Page 1 is SSR HTML (`__NEXT_DATA__`); page 2+ is `/_next/data/{buildId}/{slug}.json`.
- Hard 403/429 rotates the Apify proxy URL when configured.

#### FAQ

##### Do I need an Ingatlannet account?

No — this reads **public** search pages only. Unofficial and not affiliated with Ingatlannet.

##### Are seller phones included?

No. Named-person phones, emails, and seller names are never emitted.

#### Related Actors

| Actor | Use together when… |
|-------|-------------------|
| [Ingatlannet.hu HU Property Listings](https://apify.com/bakos_bence/ingatlannet) | *(this Actor)* — ingatlannet.hu Next.js → listing rows |
| [Ingatlan.com HU Property Listings](https://apify.com/bakos_bence/ingatlan-com) | You also need Hungary’s #1 portal (ingatlan.com) |
| [Zenga.hu HU Property Listings](https://apify.com/bakos_bence/zenga-listings) | You want OTP Otthon / zenga.hu with private vs agency filter |

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

**Actor ID:** `bakos_bence/ingatlannet`

#### 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).

# Actor input Schema

## `startSlugs` (type: `array`):

Facet path slugs without leading slash (e.g. elado-lakas-budapest, kiado-lakas-debrecen).

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

Cap listings. Prefill 5 for a cheap first run.

## `maxPagesPerSlug` (type: `integer`):

Pages per slug (16 listings per page).

## `sleepSecs` (type: `number`):

Polite delay between pagination requests.

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

Keep Apify Residential + HU for stable Next.js SSR / \_next/data fetches.

## Actor input object example

```json
{
  "startSlugs": [
    "elado-lakas-budapest"
  ],
  "maxResults": 5,
  "maxPagesPerSlug": 2,
  "sleepSecs": 0.15,
  "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 = {
    "startSlugs": [
        "elado-lakas-budapest"
    ],
    "maxResults": 5,
    "maxPagesPerSlug": 2,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ],
        "apifyProxyCountry": "HU"
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("bakos_bence/ingatlannet").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 = {
    "startSlugs": ["elado-lakas-budapest"],
    "maxResults": 5,
    "maxPagesPerSlug": 2,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
        "apifyProxyCountry": "HU",
    },
}

# Run the Actor and wait for it to finish
run = client.actor("bakos_bence/ingatlannet").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 '{
  "startSlugs": [
    "elado-lakas-budapest"
  ],
  "maxResults": 5,
  "maxPagesPerSlug": 2,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "HU"
  }
}' |
apify call bakos_bence/ingatlannet --silent --output-dataset

```

## MCP server setup

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

```

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/Ek1gRgXFIEpiYJgmj/builds/ozmgGNDGfLvhFqQ0F/openapi.json