# Kariera.Sk Scraper (`unfenced-group/kariera-sk-scraper`) Actor
Extract job listings from Kariera.sk — Slovakia's leading job board. Keyword search, salary parsing, contract type. No API key needed.
- **URL**: https://apify.com/unfenced-group/kariera-sk-scraper.md
- **Developed by:** [Unfenced Group](https://apify.com/unfenced-group) (community)
- **Categories:** Jobs
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet
## Pricing
from $1.49 / 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
## Kariera.sk Scraper
Extract structured job listings from Kariera.sk — Slovakia's leading job board with 7,500+ active vacancies. No API key required. Supports keyword search, pagination, and full detail extraction.
---
### Why use this scraper?
- **Full coverage** — scrapes all active job listings, including title, company, location, salary, contract type, and full job description
- **Structured salary data** — returns machine-ready numeric fields (`salaryMin`, `salaryMax`) instead of raw strings
- **Cross-run deduplication** — optional `skipReposts` mode avoids returning the same listing twice across multiple runs (90-day TTL)
- **Keyword search** — filter results by position, skill, or company name
- **No API key required** — works out of the box
---
### Input parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
| `keyword` | string | `""` | Job title, skill, or company to search for |
| `maxItems` | integer | `100` | Maximum number of results to return |
| `fetchDetails` | boolean | `true` | Fetch each detail page for description, contract type, and education |
| `skipReposts` | boolean | `false` | Skip listings seen in a previous run (90-day cross-run dedup) |
| `startUrls` | array | `[]` | Custom Kariera.sk listing URLs to scrape instead of default search |
---
### Output schema
Each result contains the following fields:
| Field | Type | Description |
|---|---|---|
| `offerId` | string | Internal offer ID from Kariera.sk |
| `title` | string | Job title |
| `url` | string | Link to the full job listing |
| `company` | string | Employer name |
| `location` | string | Job location (city, region, country) |
| `salary` | string | Raw salary string as displayed on the site |
| `salaryMin` | number\|null | Minimum salary (numeric) |
| `salaryMax` | number\|null | Maximum salary (numeric), or `null` if only one value |
| `salaryCurrency` | string\|null | ISO 4217 currency code (e.g. `"EUR"`) |
| `salaryPeriod` | string\|null | `"hourly"` \| `"monthly"` \| `"yearly"` \| `null` |
| `salaryDetailRaw` | string\|null | Salary as shown on the detail page |
| `salaryNote` | string\|null | Additional salary conditions (e.g. bonus structure) |
| `publishDate` | string\|null | Publication date in `YYYY-MM-DD` format |
| `contractType` | string\|null | Employment type (e.g. full-time, part-time) |
| `startDate` | string\|null | Desired start date |
| `educationRequired` | string\|null | Minimum education requirement |
| `suitableForGraduates` | boolean\|null | Whether the role is open to graduates |
| `descriptionHtml` | string\|null | Full job description as HTML (requires `fetchDetails: true`) |
| `companyDescription` | string\|null | Employer description |
| `companyAddress` | string\|null | Employer address |
| `logoUrl` | string\|null | URL to employer logo |
| `isPromoted` | boolean | Whether the listing was promoted/highlighted |
| `scrapedAt` | string | ISO timestamp of when the record was scraped |
---
### 💰 Structured salary data — machine-ready
Salary is returned as numeric fields — no regex required on your end:
| Field | Type | Example |
|---|---|---|
| `salaryMin` | number \| null | `1330` |
| `salaryMax` | number \| null | `1400` |
| `salaryCurrency` | string \| null | `"EUR"` |
| `salaryPeriod` | string \| null | `"monthly"` |
Most competing scrapers return salary as a raw string (e.g. `"1330 - 1400 EUR/Month"`), leaving the parsing to you. This scraper delivers numeric fields directly — ready for `WHERE salaryMin > 2000` queries or salary distribution charts.
---
### Example output
```json
{
"offerId": "1531127",
"title": "Administrátor technickej zákazníckej podpory (ž/m)",
"url": "https://kariera.zoznam.sk/job-offer/1531127/administrator-technickej-zakaznickej-podpory-z-m-",
"company": "Slovak Telekom",
"location": "Slovak Republic, Žilina Region, Region Žilina, Žilina",
"salary": "from 1120 EUR/Month",
"salaryMin": 1120,
"salaryMax": null,
"salaryCurrency": "EUR",
"salaryPeriod": "monthly",
"salaryDetailRaw": "1 120 EUR",
"salaryNote": "+ 15 % mesačná variabilná zložka mzdy",
"publishDate": "2026-04-09",
"contractType": "plný úväzok",
"startDate": "dohodou (ASAP)",
"educationRequired": "stredoškolské s maturitou",
"suitableForGraduates": false,
"descriptionHtml": "Svet sa neustále mení...
",
"companyAddress": "Slovak Telekom, Bajkalská 28, 81762 Bratislava",
"logoUrl": "https://kariera.zoznam.sk/images/logos/359_logo_alt.png",
"isPromoted": true,
"scrapedAt": "2026-04-09T14:30:00.000Z"
}
````
***
### Performance
| Scenario | Speed | Notes |
|---|---|---|
| List-only (`fetchDetails: false`) | ~500 results/min | No detail page requests |
| With details (`fetchDetails: true`) | ~60–80 results/min | One detail request per listing |
| Full site crawl | ~7,500 listings | Set `maxItems: 10000` |
***
### Pricing
**$1.49 per 1,000 results** — you only pay for what you extract.
Flat-rate alternatives charge a fixed monthly fee regardless of usage. With this scraper, a one-time extraction of 5,000 listings costs less than $0.75.
***
### Known limitations
- Salary data is not always present — some employers choose not to display it; `salaryMin`/`salaryMax` will be `null` in those cases
- Job descriptions are in Slovak; the platform does not provide English translations for all listings
- Listings are sorted by recency by default; there is no relevance sorting available via the public interface
***
### Technical details
- Memory: **256 MB**
- No proxy required
- Retries: automatic exponential backoff on transient failures
- Rate limiting: Gaussian inter-request delay, storm-abort circuit breaker
***
### Additional services
Need custom integration, scheduled runs, or webhook delivery? Contact **info@unfencedgroup.nl** — we build and maintain job data pipelines across 50+ European job boards.
***
*Maintained by [unfenced-group](https://apify.com/unfenced-group) · Updated April 2026*
# Actor input Schema
## `keyword` (type: `string`):
Job title, skill, or company name to search for.
## `maxItems` (type: `integer`):
Maximum number of job listings to return.
## `fetchDetails` (type: `boolean`):
Fetch each job detail page for full description, contract type, and education requirements. Increases run time but provides richer data.
## `skipReposts` (type: `boolean`):
Skip job offers that have been seen in a previous run (cross-run deduplication, 90-day TTL).
## `startUrls` (type: `array`):
Optional list of Kariera.sk job listing URLs to scrape instead of the default search.
## Actor input object example
```json
{
"keyword": "",
"maxItems": 100,
"fetchDetails": true,
"skipReposts": false,
"startUrls": []
}
```
# 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 = {};
// Run the Actor and wait for it to finish
const run = await client.actor("unfenced-group/kariera-sk-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 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);
});
// 📚 Want to learn more 📖? Go to → 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 = {}
# Run the Actor and wait for it to finish
run = client.actor("unfenced-group/kariera-sk-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{}' |
apify call unfenced-group/kariera-sk-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=unfenced-group/kariera-sk-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Kariera.Sk Scraper",
"description": "Extract job listings from Kariera.sk — Slovakia's leading job board. Keyword search, salary parsing, contract type. No API key needed.",
"version": "0.0",
"x-build-id": "8DLoZTo9pcGTStcz4"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/unfenced-group~kariera-sk-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-unfenced-group-kariera-sk-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/unfenced-group~kariera-sk-scraper/runs": {
"post": {
"operationId": "runs-sync-unfenced-group-kariera-sk-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/unfenced-group~kariera-sk-scraper/run-sync": {
"post": {
"operationId": "run-sync-unfenced-group-kariera-sk-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"keyword": {
"title": "Keyword",
"type": "string",
"description": "Job title, skill, or company name to search for.",
"default": ""
},
"maxItems": {
"title": "Maximum results",
"minimum": 1,
"maximum": 10000,
"type": "integer",
"description": "Maximum number of job listings to return.",
"default": 100
},
"fetchDetails": {
"title": "Fetch detail pages",
"type": "boolean",
"description": "Fetch each job detail page for full description, contract type, and education requirements. Increases run time but provides richer data.",
"default": true
},
"skipReposts": {
"title": "Skip reposts",
"type": "boolean",
"description": "Skip job offers that have been seen in a previous run (cross-run deduplication, 90-day TTL).",
"default": false
},
"startUrls": {
"title": "Start URLs",
"type": "array",
"description": "Optional list of Kariera.sk job listing URLs to scrape instead of the default search.",
"default": [],
"items": {
"type": "object",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"title": "URL of a web page",
"format": "uri"
}
}
}
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```