Prace.cz Scraper: Czech Republic Jobs with CZK Salary and Contract Type

Scrape job listings from Prace.cz, Czech Republic's largest generalist job board (part of AlmaCareer group). Returns title, company, Czech administrative region, district, contract type in Czech (Hlavni pracovni pomer / Prace na dohodu / Zivnostensky list), CZK salary range, experience level, and full description. HTTP-only, no browser. $3.00 per 1,000 jobs.

Open on Apify → Read the tutorial

Pricing

$3.00 / 1,000 SERP; $5.00 / 1,000 with full details

Runtime

Cloud (Apify)

Proxy

Datacenter

Auth

None required

Coverage

Czech Republic, all regions

Runtime type

HTTP-only, no browser

What You Get

title, company_name, company_website, company_logo_url — full company identity from Teamio CDN
region / district — Czech administrative region (e.g. Karlovarsky, Jihomoravsky) and district for geo-routing
contract_type_cz — Czech employment contract type in native terminology: Hlavni pracovni pomer, Prace na dohodu, Zivnostensky list
salary_min / salary_max / salary_currency / salary_period — structured CZK salary parsed from JSON-LD JobPosting schema
employment_type / working_hours / experience_level — normalized work-schedule metadata
description / description_full / description_html / description_md — four description formats: snippet, plain text, raw HTML, and Markdown
contact_emails / contact_phones / contact_urls / apply_url — all application channels from the detail page
remoteOnly filter — return only remote-eligible positions at the input level without post-processing

Input Example

{
  "searchQueries": ["programator", "analytik"],
  "location": "Praha",
  "contractType": "Hlavni",
  "remoteOnly": false,
  "maxResultsPerQuery": 100,
  "includeJobDetails": true
}

Output Example

{
  "id": "981bf78c-7fdd-4fe6-8c9e-e91d6250feb7",
  "title": "Programator / programatorka internich aplikaci",
  "job_url": "https://www.prace.cz/nabidka/981bf78c-7fdd-4fe6-8c9e-e91d6250feb7/",
  "company_name": "SI-KA-TEC s.r.o.",
  "location": "Skalna",
  "country": "CZ",
  "region": "Karlovarsky",
  "district": null,
  "employment_type": "full-time",
  "contract_type_cz": "Hlavni pracovni pomer",
  "salary_min": 60000,
  "salary_max": 80000,
  "salary_currency": "CZK",
  "salary_period": "month",
  "experience_level": null,
  "description": "Jsme dcerinou spolecnosti nemecke firmy SI-KA-TEC GmbH...",
  "apply_url": "https://www.prace.cz/odpovedni-formular/981bf78c-7fdd-4fe6-8c9e-e91d6250feb7/",
  "posted_at_datetime": "2026-08-17T00:00:00Z",
  "source_platform": "prace.cz",
  "search_query": "programator",
  "scraped_at": "2026-08-25T08:52:30Z"
}

Who Should Use This

Czech HR tech platforms and Central European job aggregators need Prace.cz because it is the largest job board in the Czech Republic under the AlmaCareer group (which also operates Profesia.sk in Slovakia and Jobs.cz as sister platforms). Compensation analytics tools value the structured CZK salary in monthly terms from JSON-LD data, making it the most reliable salary source in Czech job data. The contract_type_cz field is essential for the Czech labor market because Prace na dohodu (work-agreement contract) and Zivnostensky list (trade license / freelance) are common arrangements with distinct tax and legal implications that downstream systems need to differentiate. Remote work research platforms use the remoteOnly filter to pull only remote-eligible Czech positions without any post-processing.

Integrations

n8n / Make / Zapier — trigger runs and process results via webhook
AI Agents (MCP) — Claude Desktop, Cursor, VS Code, LangChain, LlamaIndex
Python / Node.js — Apify SDK for programmatic access
Google Sheets / Airtable — export via Apify integrations

Run this actor directly on Apify (no code)

Click Open on Apify above to run prace-cz-scraper in your browser - no code, no install. In the Apify console you get:

One-click test - fill in the input form, or paste the JSON example above into the JSON editor tab, then hit Start.
Live output - watch rows stream into an interactive Output table as they arrive, or flip to the raw JSON / Log view.
Export in any format - one click to download the dataset as JSON, CSV, XML, Excel, HTML table, RSS, or JSONL.
Schedules - run this actor daily, weekly, hourly, or on a custom cron. Apify handles timing and stores every dataset run.
Integrations & webhooks - fire a webhook on success/failure, or plug into Zapier, n8n, Make, Airbyte, Google Sheets, Slack, S3, Postgres, and more from the Actions tab.
Transparent cost - see exact usage against your $5/month free tier before you spend a cent.

Get your Apify API token

To run this actor from your own code you need an Apify API token. Get one in about a minute:

Sign up for a free Apify account (Google, GitHub, or email).
Go to Settings → Integrations → API tokens.
Click Create a new API token. Copy it and keep it secret.

Free tier: Apify credits your account with $5 of platform usage every month, no credit card required. Enough to test any actor meaningfully - at $0.001 per result on typical scrapers, that is roughly 5,000 results for free every month.

Call from code

Run this actor from any language via the Apify REST API. Replace YOUR_TOKEN with your API token and adapt the input JSON to your needs.

curl -X POST "https://api.apify.com/v2/acts/santamaria-automations~prace-cz-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{}'

// npm install apify-client
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('santamaria-automations/prace-cz-scraper').call({});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

# pip install apify-client
from apify_client import ApifyClient

client = ApifyClient('YOUR_TOKEN')
run = client.actor('santamaria-automations/prace-cz-scraper').call(run_input={})
items = list(client.dataset(run['defaultDatasetId']).iterate_items())
print(items)

// dotnet add package Apify.Client
using Apify.Client;

var client = new ApifyClient("YOUR_TOKEN");
var run = await client.Actor("santamaria-automations/prace-cz-scraper").CallAsync(new { });
var items = await client.Dataset(run.DefaultDatasetId).ListItemsAsync();

// Maven: com.apify:apify-client
import com.apify.client.ApifyClient;

ApifyClient client = new ApifyClient("YOUR_TOKEN");
ActorRun run = client.actor("santamaria-automations/prace-cz-scraper").call(Map.of());
List<Map<String,Object>> items = client.dataset(run.getDefaultDatasetId()).listItems();

Use with AI agents (MCP)

This actor is available on the Apify MCP server, so you can drive it from any MCP-compatible AI client - Claude Desktop, Claude.ai, Cursor, VS Code, LangChain, LlamaIndex, or a custom agent - without writing any code.

https://mcp.apify.com?tools=santamaria-automations/prace-cz-scraper

Example prompt once connected:

"Use <code>prace-cz-scraper</code> to run a scrape on my target list and give me the results as a table."

Clients that support dynamic tool discovery (Claude.ai, VS Code) receive the full input schema automatically via add-actor.

Use with no-code platforms

Trigger this actor from your favorite automation tool. Every platform below can call the Apify API in a few clicks - no code required.

Add the n8n Apify node (installed by default on n8n Cloud; on self-hosted install @apify/n8n-nodes-apify).
Set Actor to santamaria-automations/prace-cz-scraper.
Choose operation Run Actor and get dataset, paste your input JSON, and connect a downstream node (Google Sheets, Postgres, webhook, ...).

Create a new Zap with any trigger.
Add a Webhooks by Zapier POST action to https://api.apify.com/v2/acts/santamaria-automations~prace-cz-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN.
Body: your input JSON. Content-Type: application/json.

Create a new scenario.
Add an HTTP module: URL https://api.apify.com/v2/acts/santamaria-automations~prace-cz-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN, method POST, body raw JSON.
Parse the response with a JSON module to iterate items downstream.

Create a new workflow.
Add an HTTP Request step: POST to https://api.apify.com/v2/acts/santamaria-automations~prace-cz-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN.
Access steps.http.$return_value in subsequent steps.

Install the API Connector plugin.
Add a new API: POST https://api.apify.com/v2/acts/santamaria-automations~prace-cz-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN, body type JSON.
Initialize the call with your input, then reference the response array in workflow actions.