Werk.nl Job Scraper

Scrape job postings (vacatures) from Werk.nl — the official Dutch national job portal run by UWV. Fast and reliable: this actor talks directly to Werk.nl's own search API, so you get complete, structured data every run — no fragile HTML parsing, no browser.

Features

• ✅ Search by keyword & location — job title, keyword, or reference number, filtered by city or postal code + radius
• ✅ Powerful filters — education level, hours per week, contract type, and working hours (multi-select)
• ✅ Full job details — complete description, employer info, direct application link, contact person (name, phone, email), salary terms, dates
• ✅ Clean structured output — ready for spreadsheets, CRMs, or data pipelines
• ✅ Automatic pagination — scrape as many vacancies as you need
• ✅ No login, no cookies to manage — session/anti-forgery handling is fully automatic

Input

Field	Type	Default	Description
keywords	string	react	Job title, keyword(s), or reference number. Empty = browse all.
location	string	—	City or postal code (e.g. Amsterdam, 1011DK). Empty = whole Netherlands.
distance	integer	0	Radius in km around the location (0 = exact).
sortBy	select	relevance	relevance or date (newest first).
educationLevels	multi-select	—	Primary / VMBO / HAVO-VWO / MBO / HBO-Bachelor / WO-Master / Not specified.
hoursPerWeek	multi-select	—	0-8 / 9-16 / 17-24 / 25-32 / 33-40 / 40+ hours.
contractTypes	multi-select	—	Permanent / Possibly permanent / Temporary.
workingHours	multi-select	—	Office hours / Other.
fetchDetails	boolean	true	Fetch each vacancy's full page (description, employer, contact, apply link).
maxItems	integer	50	Maximum number of vacancies to scrape.
proxyConfig	proxy	NL Residential	Optional; recommended for large runs.

Filters are optional — leave them empty for all results. Within one filter, multiple selections are combined with OR; different filters are combined with AND (same as the website).

Example input

{
  "keywords": "developer",
  "location": "Amsterdam",
  "educationLevels": ["5"],
  "contractTypes": ["1"],
  "fetchDetails": true,
  "maxItems": 100
}

Output

Each dataset item is one vacancy. With fetchDetails on:

{
  "referenceNumber": 67355220,
  "title": "Mid-level Software Developer C#",
  "profession": "Software ontwikkelaar",
  "organisation": "Evoke BV",
  "city": "NIJMEGEN",
  "postcode": "6511RD",
  "contractType": "Vast",
  "studyLevel": "HBO/bachelor",
  "workLocationType": "Vaste werklocatie",
  "modified": "2026-07-13 00:00:00",
  "expirationDate": "2026-07-27T00:00:00",
  "description": "Do you have experience with C# and are you ready for the next step?...",
  "termsOfEmployment": "A salary of €3,765 - €5,790 per month; 25 vacation days...",
  "employer": {
    "organizationName": "Evoke BV",
    "website": "https://www.evokestaffing.com",
    "addressNetherlands": { "postcode": "6002EA", "city": "WEERT" }
  },
  "contactPerson": { "name": "Recruiting Team", "phoneNumber": "0495 518 999", "email": "connect@evokestaffing.com" },
  "applicationMethods": [{ "urlApplicationForm": "https://..." }],
  "source": "DGR",
  "url": "https://www.werk.nl/nl/vacatures/vacature/67355220"
}

Key fields:

• Job: referenceNumber, title, profession, contractType, studyLevel, minHours/maxHours, modified, expirationDate, url
• Location: city, postcode, workLocationType, distanceKm
• Details (when fetchDetails on): description, termsOfEmployment, source
• Employer: organisation, employer (name, website, sector, address)
• Contact & apply: contactPerson (name, phone, email), applicationMethods (direct apply URL)

Use cases

• Recruiting & sourcing — monitor Dutch job market by role, region, and level
• Lead generation — employer names, websites, and recruiter contact details for outreach
• Market research — track demand, contract types, and hiring trends across the Netherlands
• Job boards & aggregators — feed fresh, fully-detailed Dutch vacancies into your product

Notes

• Data comes directly from Werk.nl's public search API — accurate and complete.
• Turn off fetchDetails for faster, lighter runs when you only need the search-level fields.
• Export results as JSON, CSV, or Excel from the dataset tab, or pull them via the Apify API.