Vatera.hu Marketplace Listings

What does Vatera HU Marketplace Listings do?

Scrape vatera.hu category listings (default: személygépkocsik c55) from public HTML — prices with currency (HUF/EUR), year, odometer km, location, images, and listing URLs via Product JSON-LD on each PDP. Click Start on the prefilled cars smoke (maxResults 5).

Unofficial. This Actor is not affiliated with, endorsed by, or maintained by Vatera. Seller phones and emails are never written to the dataset (stripped from descriptions).

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 Vatera scraper?

• 🛒 Public category HTML + PDP JSON-LD — no browser, no Unblocker, no sub-Actors
• 💶 Prices kept with currency (HUF or EUR)
• 📍 Year, km, megye/city location, listing image when present
• 🛡️ Apify Residential + HU proxy prefilled; 403/429 rotate automatically

How to scrape Vatera listings

1. Open this Actor in Apify Console.
2. Click Start on the prefilled input (cars index-c55.html, maxResults 5).
3. Keep Residential HU proxy on.
4. Export the dataset or pull via API.

{
  "categoryPath": "https://www.vatera.hu/auto-motor-es-alkatresz/szemelygepkocsik/index-c55.html",
  "maxResults": 5,
  "maxListPages": 2,
  "fetchDetails": true,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "HU"
  }
}

Other categories: set categoryPath / startUrls to the matching …/index-c{ID}.html (IDs are path-scoped — do not use bare ?c= alone).

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
categoryPath	Category URL or path (prefill cars c55)
startUrls	Optional category URLs (overrides categoryPath)
categoryId	Optional id for /listings/index.php pagination (auto from path)
maxResults	Listing cap (prefill 5)
maxListPages	Seed + pagination depth (default 2)
fetchDetails	PDP JSON-LD enrich (default true)
proxyConfiguration	Apify Residential HU recommended

Sample output

{
  "listingId": "3515945429",
  "title": "Mercedes-Benz ML320 CDI Akció !",
  "url": "https://www.vatera.hu/mercedes-benz-ml320-cdi-akcio-3515945429.html",
  "price": 3490000,
  "currency": "HUF",
  "location": "Szabolcs-Szatmár-Bereg megye, Nyíregyháza",
  "odometerKm": null,
  "year": 2008,
  "imageUrl": "https://images.vatera.hu/listings/…jpg",
  "scrapedAt": "2026-09-07T12:00:00+00:00"
}

Tips

• Passenger-car inventory on Vatera is thin — do not expect thousands of car rows.
• Prefer full index-c{ID}.html paths from the category tree.
• Soft-blocks → keep Residential HU; the Actor rotates on 403/429.

FAQ

Do I need Unblocker?

No. Category HTML + PDP JSON-LD work with normal HTTP (curl_cffi) plus Apify Residential HU.

Are seller phones included?

No. Phones and emails are stripped from text and never emitted as fields.

Can I scrape non-car categories?

Yes — pass another categoryPath / startUrls with the correct index-c{ID}.html.

Related Actors

Actor	Use together when…
Vatera HU Marketplace Listings	(this Actor) — vatera.hu categories
Jofogas Auto HU Used Car Listings	Higher-volume HU used cars (apiv2)
JóAutók.hu Used Car Listings	Dealer inventory on joautok.hu

Profile: bakos_bence on Apify

Actor ID: bakos_bence/vatera

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).