RDW Netherlands Vehicle Data Scraper

What does RDW Netherlands Vehicle Data Scraper do?

RDW Netherlands Vehicle Data Scraper extracts Dutch vehicle registration records from the official RDW open data portal — the Netherlands’ public vehicle register. Paste the open data start URL (or a www.rdw.nl page) and export structured vehicle data — license plate (kenteken), brand, model, APK expiry, body type, and seating capacity — without writing any code.

Run it on the Apify platform to schedule crawls, export JSON/CSV/Excel, rotate proxies, monitor failures, and integrate results via API.

Why scrape RDW vehicle data?

• Fleet and market research — Analyze registered vehicles by brand, type, and body style across the Netherlands.
• Compliance monitoring — Track APK expiry dates and registration changes for due diligence workflows.
• Automotive analytics — Build dashboards from structured Dutch vehicle records.
• Data enrichment — Append official RDW fields to CRM, insurance, or logistics datasets.
• Developer integrations — Feed clean JSON into apps that need Dutch license plate metadata.

How to use RDW Netherlands Vehicle Data Scraper

1. Open the Actor in Apify Console.
2. Add one or more RDW start URLs under Start URLs (default: https://opendata.rdw.nl/).
3. Optionally set Brand filter (merk) — e.g. TOYOTA, VOLKSWAGEN, or BMW.
4. Set Maximum items (vehicle records per start URL).
5. Run the Actor and download the results from the Dataset tab.

Input

RDW Netherlands Vehicle Data Scraper accepts Start URLs, maxItems (per start URL), an optional merk brand filter, and an optional proxy configuration. See the Input tab in Apify Console for details.

Supported start URLs:

• Open data portal: https://opendata.rdw.nl/
• RDW website pages on www.rdw.nl
• Single-vehicle lookups with a kenteken query parameter or path segment (e.g. ?kenteken=T411KX)

Output

Each result is a structured vehicle record. You can download the dataset in JSON, CSV, Excel, or HTML.

{
  "kenteken": "T411KX",
  "voertuigsoort": "Personenauto",
  "merk": "CITROEN",
  "handelsbenaming": "C3",
  "datum_tenaamstelling": "20260611",
  "vervaldatum_apk": "20270831",
  "inrichting": "hatchback",
  "aantal_zitplaatsen": "5",
  "url": "https://www.rdw.nl/particulier/voertuigen/auto/kentekencheck?kenteken=T411KX",
  "scrapedAt": "2026-07-28T08:00:00.000Z"
}

What data can you extract from RDW open data?

Field	Description
kenteken	Dutch license plate
voertuigsoort	Vehicle type (e.g. Personenauto, Motorfiets)
merk	Brand / manufacturer
handelsbenaming	Model / trade name
datum_tenaamstelling	Registration date (YYYYMMDD)
vervaldatum_apk	APK (MOT) expiry date when available
inrichting	Body / layout type
aantal_zitplaatsen	Number of seats
url	Public RDW kentekencheck lookup link
scrapedAt	ISO timestamp when the record was saved

How much does it cost to scrape RDW vehicle data?

This Actor uses a lightweight HTTP crawler (no browser) and no proxy by default, keeping compute usage low. A typical test run with a handful of records per URL usually finishes in under a minute on the Apify free tier. Larger crawls scale with the number of vehicle records exported.

Pay-per-event pricing charges one result-item per vehicle record when PPE is enabled on the Actor.

Event	FREE tier	GOLD tier
Vehicle record scraped	$1.99 / 1,000	$1.49 / 1,000

Tips and advanced options

• Start from https://opendata.rdw.nl/ to sample the full open dataset.
• Use merk to narrow results to a specific brand before export.
• Increase maxItems to page through additional records automatically.
• For a single plate, pass a URL with ?kenteken=YOURPLATE.

FAQ, disclaimers, and support

Is scraping RDW open data legal?
This Actor collects only public vehicle registration data published by RDW as open government data. You are responsible for complying with applicable laws (including GDPR) when processing any personal or vehicle-related data.

Which URLs are supported?
opendata.rdw.nl, www.rdw.nl, and detail URLs that include a valid Dutch kenteken.

Something not working?
Use the Issues tab to report bugs or request features.