# Careerjet.nl Scraper (`unfenced-group/careerjet-nl-scraper`) Actor
Extract job listings from careerjet.nl: titles, companies, salaries, employment types & full descriptions. 200k+ Dutch listings. Repost detection & daysOld filtering included.
- **URL**: https://apify.com/unfenced-group/careerjet-nl-scraper.md
- **Developed by:** [Unfenced Group](https://apify.com/unfenced-group) (community)
- **Categories:** Jobs, Developer tools, Automation
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet
## Pricing
from $1.50 / 1,000 results
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
## Careerjet.nl Scraper
Extract structured job data from [careerjet.nl](https://www.careerjet.nl) โ one of the Netherlands' largest job aggregators with 200,000+ listings across all industries and regions. Filter by keyword, location, radius, and recency. No API key required.
---
### Why this scraper?
#### ๐ Full job descriptions in three formats
Every detail page is fetched and the full job description is returned as raw HTML, plain text, and Markdown โ ready to feed into downstream pipelines, LLMs, or document stores without additional processing.
#### ๐ฐ Structured salary data
Salary information is extracted from the schema.org `JobPosting` markup on every detail page, returning clean numeric fields โ no regex required on your end:
| Field | Example |
|---|---|
| `salary` | `"โฌ 3.700 - โฌ 4.800 per maand"` |
| `salaryMin` | `3700` |
| `salaryMax` | `4800` |
| `salaryType` | `"monthly"` |
| `salaryCurrency` | `"EUR"` |
#### ๐ข Employment type classification
Employment types are extracted from structured markup and normalised to human-readable labels:
`"Fulltime"`, `"Parttime"`, `"Freelance/ZZP"`, `"Tijdelijk"`, `"Stage"` โ ready to filter without post-processing.
#### ๐ Cross-run repost detection
Careerjet aggregates listings from hundreds of sources, including duplicates. The scraper tracks content hashes across runs using Apify's Key-Value Store (90-day TTL). Each result includes an `isRepost` flag, and reposts can be automatically skipped with `skipReposts: true`.
#### โก Lightweight & fast
Careerjet.nl uses server-side rendering โ no headless browser required. The scraper works with direct HTTP requests, keeping compute costs and run times low.
#### ๐ Start URL support
Pass any Careerjet search URL or direct job URL as `startUrls` to scrape a specific result set โ useful for scheduled monitoring of saved searches.
---
### Input parameters
| Parameter | Type | Description | Default |
|---|---|---|---|
| `searchQuery` | string | Keyword or job title โ e.g. `"developer"`, `"marketing manager"` | โ |
| `location` | string | City or region โ e.g. `"Amsterdam"`, `"Rotterdam"` | โ |
| `radius` | integer | Search radius around location in km | `10` |
| `maxResults` | integer | Maximum number of results to return | `100` |
| `daysOld` | integer | Only return jobs posted within the last N days | โ (all) |
| `fetchDetails` | boolean | Fetch detail pages for full description + structured salary | `true` |
| `skipReposts` | boolean | Skip listings seen in previous runs | `false` |
| `startUrls` | array | Direct job or search URLs to scrape | โ |
---
### Output schema
Each result is a flat JSON object:
```json
{
"title": "Software Developer",
"company": "Norm",
"location": "Amsterdam, Noord-Holland",
"city": "Amsterdam",
"region": "Noord-Holland",
"country": "Nederland",
"url": "https://www.careerjet.nl/jobad/nl1061ced6773729536bb0288ee1b2b538",
"applyUrl": "https://www.careerjet.nl/jobad/nl1061ced6773729536bb0288ee1b2b538",
"salary": "โฌ 4.800 per maand",
"salaryMin": 4800,
"salaryMax": 4800,
"salaryType": "monthly",
"salaryCurrency": "EUR",
"employmentTypes": ["Fulltime", "Freelance/ZZP"],
"description": "Word Software Developer bij Norm...
",
"descriptionText": "Word Software Developer bij Norm...",
"descriptionMarkdown": "Word Software Developer bij Norm...",
"snippet": "Norm. Energie voor iedereen. Word Software Developer...",
"datePosted": "2026-04-04T07:29:15Z",
"validThrough": "2026-07-03T07:29:15Z",
"isSponsored": false,
"hasEasyApply": true,
"isRepost": false,
"source": "careerjet.nl",
"scrapedAt": "2026-04-04T10:00:00.000Z",
"contentHash": "a1b2c3d4e5f6..."
}
````
***
### Example runs
#### 1. Developers in Amsterdam
```json
{
"searchQuery": "developer",
"location": "Amsterdam",
"maxResults": 50
}
```
#### 2. Recent marketing jobs in the Netherlands
```json
{
"searchQuery": "marketing manager",
"location": "Nederland",
"daysOld": 7,
"maxResults": 100
}
```
#### 3. Nationwide scrape โ no filters, all industries
```json
{
"searchQuery": "",
"location": "Nederland",
"maxResults": 500,
"skipReposts": true
}
```
#### 4. Direct search URL
```json
{
"startUrls": [
{ "url": "https://www.careerjet.nl/vacatures?s=java&l=Utrecht&p=1" }
],
"maxResults": 20
}
```
***
### Pricing
This actor uses **pay-per-result** pricing โ you only pay for successfully scraped job listings.
| Volume | Cost |
|---|---|
| 1,000 results | $1.50 |
| 10,000 results | $15.00 |
| 100,000 results | $150.00 |
| Actor start | $0.00005 (one-time) |
**Compared to flat-rate subscriptions:** A typical job data subscription costs $200โ500/month for fixed access. At $1.50/1,000 results, this actor delivers equivalent data for a fraction of the cost โ and you only pay when you actually run it.
***
### Performance
Performance measured with `fetchDetails: true` on a residential connection:
| Run type | Results | Duration | Notes |
|---|---|---|---|
| Keyword + city, 100 results | 100 | ~45s | 5 list pages + 100 detail fetches |
| Nationwide, 500 results | 500 | ~4 min | 25 list pages + 500 detail fetches |
| `fetchDetails: false`, 200 results | 200 | ~20s | List-only, no detail requests |
***
### Known limitations
- **`applyUrl`** is the Careerjet listing URL. The actual employer apply link is behind a JavaScript modal and cannot be retrieved without browser interaction.
- **`salary`** is `null` for listings where the employer has not disclosed salary โ this is common on Careerjet (~40% of listings).
- **`employmentTypes`** is an empty array for listings where the employer has not specified employment type in structured markup.
- **Aggregator listings**: Careerjet is a job aggregator โ some listings may originate from other job boards. The `source` field is always `"careerjet.nl"` regardless of the underlying publisher.
***
### Technical details
- Respects Careerjet's server-side rate limits with polite request delays
- Automatic retry with exponential backoff on transient errors
- 403-storm circuit breaker: aborts run after 5 consecutive blocks to prevent proxy cost overruns
- Proxy escalation: starts without proxy; automatically switches to Apify AUTO proxy on access denial
- Memory: 256 MB default
***
### Additional services
Need a custom scraper, scheduled data delivery, or integration with your data pipeline?
๐ง **info@unfencedgroup.nl**
We build and maintain custom Apify actors for HR tech teams, recruitment platforms, and data vendors across Europe.
***
*Powered by [unfenced-group](https://apify.com/unfenced-group) ยท European job board data infrastructure*
# Actor input Schema
## `searchQuery` (type: `string`):
Job title, skill or keyword to search for. Example: 'developer', 'marketing manager'.
## `location` (type: `string`):
City or region to search in. Example: 'Amsterdam', 'Rotterdam', 'Utrecht'.
## `radius` (type: `integer`):
Search radius around the location in kilometres.
## `maxResults` (type: `integer`):
Maximum number of job listings to return.
## `daysOld` (type: `integer`):
Only return jobs posted within the last N days. Leave empty for all results.
## `fetchDetails` (type: `boolean`):
Fetch each job detail page for full description, structured salary and employment type.
## `skipReposts` (type: `boolean`):
Skip job listings seen in previous runs (cross-run deduplication).
## `startUrls` (type: `array`):
Optional list of direct Careerjet.nl job or search URLs to scrape.
## Actor input object example
```json
{
"searchQuery": "developer",
"location": "Amsterdam",
"radius": 10,
"maxResults": 100,
"fetchDetails": true,
"skipReposts": false
}
```
# Actor output Schema
## `results` (type: `string`):
No description
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"searchQuery": "developer",
"location": "Amsterdam"
};
// Run the Actor and wait for it to finish
const run = await client.actor("unfenced-group/careerjet-nl-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`๐พ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// ๐ Want to learn more ๐? Go to โ https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"searchQuery": "developer",
"location": "Amsterdam",
}
# Run the Actor and wait for it to finish
run = client.actor("unfenced-group/careerjet-nl-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("๐พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# ๐ Want to learn more ๐? Go to โ https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"searchQuery": "developer",
"location": "Amsterdam"
}' |
apify call unfenced-group/careerjet-nl-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=unfenced-group/careerjet-nl-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Careerjet.nl Scraper",
"description": "Extract job listings from careerjet.nl: titles, companies, salaries, employment types & full descriptions. 200k+ Dutch listings. Repost detection & daysOld filtering included.",
"version": "0.0",
"x-build-id": "Ylj27A6cYyVI0pv0J"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/unfenced-group~careerjet-nl-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-unfenced-group-careerjet-nl-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/unfenced-group~careerjet-nl-scraper/runs": {
"post": {
"operationId": "runs-sync-unfenced-group-careerjet-nl-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/unfenced-group~careerjet-nl-scraper/run-sync": {
"post": {
"operationId": "run-sync-unfenced-group-careerjet-nl-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"searchQuery": {
"title": "Search query",
"type": "string",
"description": "Job title, skill or keyword to search for. Example: 'developer', 'marketing manager'."
},
"location": {
"title": "Location",
"type": "string",
"description": "City or region to search in. Example: 'Amsterdam', 'Rotterdam', 'Utrecht'."
},
"radius": {
"title": "Search radius (km)",
"minimum": 0,
"maximum": 100,
"type": "integer",
"description": "Search radius around the location in kilometres.",
"default": 10
},
"maxResults": {
"title": "Max results",
"minimum": 1,
"maximum": 5000,
"type": "integer",
"description": "Maximum number of job listings to return.",
"default": 100
},
"daysOld": {
"title": "Maximum age (days)",
"minimum": 1,
"maximum": 365,
"type": "integer",
"description": "Only return jobs posted within the last N days. Leave empty for all results."
},
"fetchDetails": {
"title": "Fetch detail pages",
"type": "boolean",
"description": "Fetch each job detail page for full description, structured salary and employment type.",
"default": true
},
"skipReposts": {
"title": "Skip reposts",
"type": "boolean",
"description": "Skip job listings seen in previous runs (cross-run deduplication).",
"default": false
},
"startUrls": {
"title": "Start URLs",
"type": "array",
"description": "Optional list of direct Careerjet.nl job or search URLs to scrape.",
"items": {
"type": "object",
"properties": {
"url": {
"title": "URL",
"type": "string",
"description": "Full URL of a Careerjet.nl job listing or search results page."
}
}
}
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```