JóAutók.hu Used Car Listings

What does JóAutók.hu Used Car Listings do?

Scrape joautok.hu dealer used-car listings from Nuxt SSR __NUXT_DATA__ on /kereses — HUF prices with currency, year, odometer, fuel, make/model, dealer org, and listing URLs. Click Start on the prefilled general search (brands empty, maxResults 5, maxPages 2).

Unofficial. This Actor is not affiliated with, endorsed by, or maintained by JóAutók. Seller emails, phones, and created_by identity fields are never written to the dataset. dealerOrgName is dealership / org names only.

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 JóAutók scraper?

• 🚗 Public /kereses + optional brand shards — no browser, no Unblocker
• 💶 HUF prices kept with currency
• 🏷️ Year, km, fuel, make/model, dealer org, city
• 🛡️ Prefill Apify Residential + HU; direct (useApifyProxy: false) often works too

How to scrape joautok.hu listings

1. Open this Actor in Apify Console.
2. Click Start on the prefilled smoke (brands empty, maxResults 5).
3. Keep Residential HU on, or set useApifyProxy false for direct.
4. Export the dataset or pull via API.

{
  "brands": [],
  "maxResults": 5,
  "maxPages": 2,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "HU"
  }
}

Brand shards (optional):

{
  "brands": ["bmw", "toyota", "volkswagen"],
  "maxResults": 100,
  "maxPages": 10
}

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. Prefer Residential HU — Unblocker is unnecessary and costs far more.

Input

Field	Description
brands	Optional brand path shards (bmw, toyota, …). Empty = general /kereses only
maxResults	Listing cap (prefill 5)
maxPages	Pages per seed (prefill/default 2)
proxyConfiguration	Prefill Residential HU; or useApifyProxy: false for direct

Sample output

{
  "listingId": 22010,
  "title": "Mini Clubvan",
  "url": "https://joautok.hu/elado/hasznalt/mini/clubvan/.../22010",
  "price": 2360000,
  "currency": "HUF",
  "location": "Budapest",
  "year": 2016,
  "odometerKm": 185000,
  "fuel": "Diesel",
  "make": "Mini",
  "model": "Clubvan",
  "dealerOrgName": "JIB Hungary Kft.",
  "imageUrl": "https://…",
  "scrapedAt": "2026-09-04T12:00:00+00:00"
}

Tips

• Host is joautok.hu (not www — www may 429).
• Empty brands is fastest for smoke; add brand shards for broader coverage.
• Soft-block / missing __NUXT_DATA__ → rotate Residential HU or try direct.

FAQ

Do I need Unblocker?

No. SSR HTML works with normal HTTP (curl_cffi TLS) plus optional Apify Residential HU.

Are seller phones included?

No. Named-person phones, emails, and created_by blobs are stripped. Dealer org names may appear.

What brands are supported?

Common shards: bmw, toyota, volkswagen, ford, opel, mercedes-benz, audi, skoda, suzuki, kia. Any valid /kereses/{slug} path works.

Related Actors

Actor	Use together when…
JóAutók.hu Used Car Listings	(this Actor) — joautok.hu dealer cars
Zenga.hu HU Property Listings	You also need Hungary RE comps
Gumtree Listings Scraper	You compare with UK classifieds

Profile: bakos_bence on Apify

Actor ID: bakos_bence/joautok

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).