Prace.cz Scraper: Czech Republic Jobs, Salaries & Employers

The NanoScrape Prace Scraper is an Apify actor that extracts job listings from prace.cz. It returns 35 fields per result including title, location, description, company_name, company_website, priced at $5/1k result, with no API key or monthly subscription required.

Prace.cz (General, Czech Republic): Czech job board (source platform). Czech region, CZK salary, contract type, and experience level.

Open on Apify → Read the tutorial

Pricing

$5.00 / 1,000 detail result

Runtime

Cloud (Apify)

Proxy

None

Coverage

What you can scrape — 35 fields per result

Field	Type	Example	Group	Fill %
`_type`	string	job	Core	100%
`id`	string	3fb6ecc6-65dc-4c76-a35b-d783a9eee26f	Core	100%
`title`	string	Elektrikář na údržbu strojů	Core	100%
`job_url`	string	https://vyrabimeletadla.jobs.cz/pd/2001368298?originJobAdUuid=3fb6ecc6-65dc-4c76-a35b-d...	Core	100%
`source_url`	string	https://vyrabimeletadla.jobs.cz/pd/2001368298?originJobAdUuid=3fb6ecc6-65dc-4c76-a35b-d...	Core	100%
`source_platform`	string	prace.cz	Core	100%
`company_name`	string \| null	AERO Vodochody AEROSPACE a.s.	Core	100%
`company_logo_url`	string \| null	https://my.teamio.com/recruit/logo?id=9b46476c-d9b0-48c0-9945-730bf6190d11&v=1643032655659	Core	20%
`contact_urls`	array	`[]`	Core	—
`apply_url`	string \| null	(populated when data available)	Core	60%
`company_website`	string \| null	(populated when data available)	Company	—
`location`	string	Odolena Voda-Dolínek	Location	80%
`country`	string	CZ	Location	100%
`region`	string \| null	(populated when data available)	Location	40%
`description`	string \| null	(populated when data available)	Description	60%
`description_full`	string \| null	(populated when data available)	Description	60%
`description_html`	string \| null	(populated when data available)	Description	60%
`description_md`	string \| null	(populated when data available)	Description	60%
`salary_min`	number \| null	(populated when data available)	Salary	60%
`salary_max`	number \| null	(populated when data available)	Salary	60%
`salary_currency`	string \| null	(populated when data available)	Salary	60%
`salary_period`	string \| null	(populated when data available)	Salary	60%
`salary_text`	string \| null	(populated when data available)	Salary	—
`employment_type`	string \| null	full-time	Employment	100%
`working_hours`	string \| null	plný úvazek	Employment	40%
`contract_type_cz`	string \| null	(populated when data available)	Employment	—
`experience_level`	string \| null	(populated when data available)	Requirements	40%
`posted_at_text`	string \| null	(populated when data available)	Metadata	80%
`posted_at_datetime`	string \| null	(populated when data available)	Metadata	60%
`scraped_at`	string	2026-10-22T04:43:15Z	Metadata	100%
`district`	string \| null	(populated when data available)	Other	—
`contact_emails`	array	`[]`	Other	—
`contact_phones`	array	`[]`	Other	—
`detail_status`	string \| null	(populated when data available)	Other	60%
`search_query`	string \| null	programator	Other	100%

Input example — showcase (full detail)

{
  "searchQueries": [
    "programator",
    "ucetni",
    "obchodni zastupce"
  ],
  "maxResults": 30,
  "includeJobDetails": true,
  "includeCompanyDetails": true,
  "maxResultsPerQuery": 10
}

Output example — real dataset item (PII scrubbed)

{
  "_type": "job",
  "id": "3fb6ecc6-65dc-4c76-a35b-d783a9eee26f",
  "title": "Elektrikář na údržbu strojů",
  "job_url": "https://vyrabimeletadla.jobs.cz/pd/2001368298?originJobAdUuid=3fb6ecc6-65dc-4c76-a35b-d783a9eee26f&rps=2078",
  "source_url": "https://vyrabimeletadla.jobs.cz/pd/2001368298?originJobAdUuid=3fb6ecc6-65dc-4c76-a35b-d783a9eee26f&rps=2078",
  "source_platform": "prace.cz",
  "company_name": "AERO Vodochody AEROSPACE a.s.",
  "company_website": null,
  "company_logo_url": "https://my.teamio.com/recruit/logo?id=9b46476c-d9b0-48c0-9945-730bf6190d11&v=1643032655659",
  "location": "Odolena Voda-Dolínek",
  "country": "CZ",
  "region": null,
  "district": null,
  "posted_at_text": null,
  "posted_at_datetime": null,
  "employment_type": "full-time",
  "working_hours": "plný úvazek",
  "contract_type_cz": null,
  "experience_level": null,
  "salary_min": null,
  "salary_max": null,
  "salary_currency": null,
  "salary_period": null,
  "salary_text": null,
  "description": null,
  "description_full": null,
  "description_html": null,
  "description_md": null,
  "contact_emails": [],
  "contact_phones": [],
  "contact_urls": [],
  "apply_url": null,
  "is_external": true,
  "detail_status": null,
  "search_query": "programator",
  "scraped_at": "2026-10-22T04:43:15Z"
}

Cost math

Priced at $0.0050 per detail result. 10 detail results ≈ $0.05, 100 ≈ $0.50, 1,000 ≈ $5.00. The first runs land inside Apify's $5/mo free-tier credit — pay only for what you extract, no monthly subscription.

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. How many results that covers depends on the actor's price per result.

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.

FAQ

How much does the prace-cz-scraper cost?

$5.00 / 1,000 detail result, billed per result on Apify. Apify's $5/month free tier covers the first runs. No monthly subscription — you only pay for what you extract.

What fields does it return?

35 fields per result. Full field catalog is listed in the 'What you can scrape' table above — includes core identifiers, descriptive text, dates, and any category-specific data.

Is scraping this site legal?

Scraping publicly available data is generally permitted in most jurisdictions, but GDPR applies to any personal data you collect. Review your local rules and consult a lawyer for commercial use.

Do I need an API key from the source platform?

No. This actor reads public pages over plain HTTP, without a proxy. No API key, no OAuth, no rate-limit management on your side.

How fresh is the data?

Every run pulls live data at execution time. Set up a schedule (daily/hourly/weekly cron) in the Apify console to keep your dataset current automatically.