Ingatlannet.hu HU Property Listings

What does Ingatlannet.hu Listings Scraper do?

Scrape 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.
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.

{
  "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

{
  "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	(this Actor) — ingatlannet.hu Next.js → listing rows
Ingatlan.com HU Property Listings	You also need Hungary’s #1 portal (ingatlan.com)
Zenga.hu HU Property Listings	You want OTP Otthon / zenga.hu with private vs agency filter

Profile: bakos_bence on Apify

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):

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:

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:

=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).