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$19.89/month + usage

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Werk.nl Scraper - Goedkoop Cheap 🇳🇱💼🔎

Try for free

Looking to collect job listings from Werk.nl? 💼🔎🇳🇱 With this scraper you can extract vacature data from Werk.nl including job title, company name, location, detail URL & much more Optionally, you can also fetch detailed job informations Perfect for recruitment pipelines & job datasets 📊

Pricing

$19.89/month + usage

Rating

5.0

(1)

Developer

Storm_Scraper

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Monthly active users

a day ago

Last modified

Werk.nl Vacatures Scraper 🇳🇱💼🔎

The Werk.nl Vacatures Scraper is a powerful automation tool designed to extract job listings from the Dutch employment platform Werk.nl.

This actor collects vacatures (job listings) directly from search results, automatically navigating pagination and gathering structured job data.

It is ideal for building job datasets, labor market analysis, recruitment pipelines, and AI training data for the Netherlands.

🇳🇱 : De Werk.nl Vacatures Scraper is een krachtige automatiseringstool die is ontworpen om vacatures te extraheren van het Nederlandse arbeidsplatform Werk.nl.

Deze actor verzamelt vacatures rechtstreeks uit de zoekresultaten, navigeert automatisch door paginering en verzamelt gestructureerde vacaturegegevens.

Het is ideaal voor het opbouwen van vacaturedatasets, arbeidsmarktanalyses, recruitment pipelines en AI-trainingsdata voor Nederland.

🎯 What This Scraper Does

Simply provide a keyword and/or location, and the actor will:

✅ Extract job listings automatically

✅ Search by keyword, location, or both

✅ Collect structured vacature metadata

✅ Optionally extract detailed job information

Each search can return dozens or hundreds of job listings depending on the query.

📊 Data Extracted

🧾 Standard Fields (Overview)

Field	Description
💼 title	Job title
🏢 company	Company name
🏙 city	City
📏 distance	Distance from search location
📄 contractType	Contract type
⏱ hours	Working hours
🎓 education	Education requirement
📍 workLocation	Work location
🏷 extraTags	Additional tags
🕒 postedAgo	Posting date
🆔 vacatureId	Job ID
🔗 detailUrl	Job detail page

🔎 Detailed Fields (Optional)

Enabled when fetchDetails = true

Field	Description
💼 jobTitle	Job title (raw)
🇳🇱 jobTitleNL	Job category (Dutch)
📮 zipCode	Postal code
🏢 workLocationKind	Type of workplace
⏱ hoursPerWeek	Hours per week
🕓 workingHours	Working hours type
📄 contractKind	Contract type (detailed)
📅 startDate	Start date
📅 endDate	End date
💰 salaryKind	Salary type
📝 description	Job description
🎓 educationLevel	Required education level
👤 contactPerson	Contact person
🌐 website	Employer website
📍 address	Address
🔢 referenceNumber	Reference number
🏷 vacatureKenmerk	Vacancy tag
🕒 lastModified	Last updated
⏳ expiryDate	Expiry date

🛠 How to Use

1️⃣ Configure Input

Provide search parameters:

Keyword (optional)

Location (optional)

Maximum items

Fetch details toggle

📥 Input Example { "keyword": "developer", "location": "Amsterdam", "maxitems": 50, "fetchDetails": true } 2️⃣ Run the Actor

The scraper will:

Query Werk.nl based on your filters

Automatically paginate through results

Stop when maxitems is reached

3️⃣ Export the Dataset

Download results in multiple formats:

✅ JSON

✅ CSV

✅ Excel

✅ XML

✅ HTML

💸 Pricing

This scraper runs on a monthly subscription model.

You only pay for successful runs.

💳 Price: $19.89 / month

If you're interested in other Rutube, E-commerce, Events, Real Estate, Jobs, Company Leads, YouTube or Facebook scraping solutions, check out these related tools:

You can even apply sentiment analysis on the data text we've extracted! 😃📊:

Sentiment Analysis Text Classification 📈

⚙️ Input Configuration

📥 Input Example

{
  "keyword": "developer",
  "location": "Amsterdam",
  "maxitems": 50,
  "fetchDetails": true
}

Input Fields

Field	Type	Description
keyword	string	Job title, keyword(s), or reference number
location	string	City name or Dutch postcode
maxitems	integer	Maximum number of vacatures to collect
fetchDetails	boolean	Enable detailed scraping (slower)

📤 Output Example

{
    "title": "Data AI Engineer",
    "company": "Effectory",
    "city": "AMSTERDAM",
    "distance": "(2 km)",
    "contractType": "Tijdelijk",
    "hours": "0uur",
    "education": "HBO/bachelor",
    "workLocation": "Vaste werklocatie",
    "extraTags": "N/A",
    "postedAgo": "2 weken geleden",
    "vacatureId": "zoeken-vacatures-vacatures-zoeken__vacature-details-link",
    "detailUrl": "https://www.werk.nl/nl/vacatures/67223904",
    "jobTitle": "Database ontwikkelaar",
    "jobTitleNL": "Data engineer",
    "zipCode": "1012KR",
    "workLocationKind": "Vaste werklocatie",
    "hoursPerWeek": "0 - 0 Uur per week",
    "workingHours": "Kantoortijden",
    "contractKind": "Tijdelijk",
    "startDate": "30-11-2025",
    "endDate": "N/A",
    "salaryKind": "Vast loon / uurloon",
    "description": "Effectory logo \n Über uns \n Mehr Informationen über unser Unternehmen Unsere Benefits \n Schau dir die zusätzlichen Benefits an, die dir zustehen, wenn du bei Effectory arbeitest Wie wir einstellen \n Mehr Informationen über unseren Einstellungsprozess Inclusion, Diversity & BelongingEffectory logo \n Effectory logo \n Data AI Engineer - Hybrid - - Amsterdam , Noord-Holland , Netherlands - €70,000 - €100,000 per year - Development \nYOU BRING DATA TO LIFE! \nWe're so glad you're here, because without you, our data and AI foundations simply couldn't become what we envision. Your work ensures data moves efficiently through resilient systems, powering a platform that's intelligent, high-performing, and impactful. \nAs one of our Data / AI Engineers, you're a core builder of the intelligence behind Effectory. You design, maintain, and evolve the data architecture that fuels our analytics, powers AI features, and helps organizations around the world turn employee feedback into meaningful action. \nYou work closely with Product Managers, Data Scientists, and Software Engineers, making sure that high-quality data and the AI models built on top of it. Whether it's streamlining pipelines, deploying ML models, or automating workflows, you ensure that our platform continues to scale with clarity, trust, and technical excellence. \nYour work strengthens Effectory by transforming feedback into insight. \nWhat you'll be doing: - \nDesign, build, and evolve scalable data architecture aligned with business and AI/ML requirements - \nDevelop and manage data ingestion pipelines from diverse sources, ensuring data is clean, structured, and ready for analytics or model training - \nPrepare data for AI, ML, and advanced analytics, improving quality, reliability, and accessibility - \nIntegrate data from APIs, databases, events and additional internal/external sources - \nCollaborate with Data Scientists to deliver models and AI flows to endpoints, supporting deployment...",
    "educationLevel": "Hbo/bachelor",
    "contactPerson": "Is",
    "website": "http://jobs.effectory.com",
    "address": "Rokin 16 1012KR AMSTERDAM Nederland",
    "referenceNumber": "DGR70219247",
    "vacatureKenmerk": "70219247",
    "lastModified": "25-02-2026",
    "expiryDate": "27-03-2026",
    "detailCity": "AMSTERDAM"
  }

📊 Preconfigured Dataset Views

🔎 Overzicht / Overview

The table view includes:

• Job Title • Company • City • Distance • Contract Type • Hours • Education • Work Location • Extra Tags • Posted Date • Vacature ID • Detail URL

Plus all detailed fields when enabled.

🌍 Why Use This Scraper?

📊 Labor Market Analysis Analyze job demand across regions in the Netherlands

💼 Recruitment & Lead Generation Build targeted candidate/job datasets

📍 Geographic Insights Understand job distribution by city or postcode

🤖 AI & Data Science Create structured datasets for ML models

⚠️ Performance Note

Enabling fetchDetails:

Provides significantly richer data

Slows down scraping due to visiting each detail page

Disclaimer

This project is an independent tool and is not affiliated with, endorsed by, or sponsored by Werk.nl.

📫 Support & Contact

😊 Leave a 5-star rating ⭐⭐⭐⭐⭐ if you’re satisfied

🌪️ Storm Scraper https://apify.com/scrapestorm

For questions, feature requests, or custom scraping solutions, contact us directly via Apify or email.

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