Hungary Vehicle Auctions — MBVK NAV MNV

What does Hungary Government Vehicle Auctions do?

Scrape live Hungarian government vehicle auctions from MBVK (court enforcement JSON), NAV (tax Struts HTML), and MNV (state-asset Struts HTML) — HUF prices with currency, year, odometer km, location, auction end, estimate, and optional public VIN. Click Start on the prefilled smoke (sources=["mbvk"], maxResults 5).

Unofficial. This Actor is not affiliated with, endorsed by, or maintained by MBVK, NAV, or MNV. Bidder / debtor names and contact phones are never written to the dataset. VIN is emitted only when the public listing already shows it, with a source-accuracy disclaimer.

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 HU government vehicle auction scraper?

• 🏛️ Three official boards in one Actor — filter with sources
• 🚗 MBVK uses a public JSON API (fast smoke path)
• 💶 HUF prices kept with currency
• 🛡️ Apify Residential + HU proxy prefilled (gov sites often work direct too)
• 🔒 No bidder/debtor PII; VIN only when public on the listing

How to scrape HU government vehicle auctions

1. Open this Actor in Apify Console.
2. Click Start on the prefilled input (sources = mbvk, maxResults 5).
3. Optionally add nav and/or mnv, or set maxPerSource.
4. Export the dataset or pull via API.

{
  "sources": ["mbvk"],
  "maxResults": 5,
  "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). Platform usage is included.

Input

Field	Description
sources	Array of mbvk · nav · mnv (prefill ["mbvk"])
maxResults	Overall listing cap (prefill 5)
maxPerSource	Optional per-source cap
proxyConfiguration	Apify Residential HU recommended

Sample output

{
  "source": "mbvk",
  "listingId": "949899",
  "title": "CITROEN C8",
  "url": "https://arveres.mbvk.hu/#/auction/949899",
  "price": 592500,
  "currency": "HUF",
  "location": "1214 Budapest, II. Rákóczi Ferenc út 289-295.",
  "year": 2005,
  "odometerKm": null,
  "vin": null,
  "auctionEnd": "2026-11-03 12:00:00",
  "estimateHuf": 790000,
  "scrapedAt": "2026-09-07T15:00:00+00:00"
}

Tips

• Prefer sources=["mbvk"] for the cheapest smoke — JSON API, no per-detail HTML.
• NAV / MNV fetch list + detail pages (Struts); use a small maxPerSource when combining all three.
• Residential HU helps when gov hosts rate-limit datacenter IPs.

FAQ

Do I need Unblocker?

No. MBVK is JSON over HTTP; NAV/MNV are ordinary HTML. Residential HU is enough.

Are debtor or bidder names included?

No. Contact phones, emails, and bidder/debtor name phrases are stripped.

When is VIN present?

Only if the public listing text already contains an alvázszám / VIN. Rows include vinNote with a source-accuracy disclaimer.

Related Actors

Actor	Use together when…
Hungary Government Vehicle Auctions	(this Actor) — MBVK / NAV / MNV vehicle auctions
Jofogas Auto HU Used Car Listings	You also need classified used-car asking prices
JóAutók.hu Used Car Listings	Dealer portal comps in HUF

Profile: bakos_bence on Apify

Actor ID: bakos_bence/hu-vehicle-auctions

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).