Jobs.cz Jobs Scraper

Extract comprehensive job listings from Jobs.cz, the leading employment portal in the Czech Republic. Collect titles, company details, locations, salaries, and full job descriptions at scale. Perfect for market research, recruitment analytics, and job-board aggregation.

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Features

• Precise Data Extraction — Capture all essential job fields including title, company, salary, and location.
• Full Job Descriptions — Option to visit detail pages to extract complete, cleaned HTML or plain-text descriptions.
• Smart Filtering — Search by keyword, city, region, or job category to target exactly the roles you need.
• Reliable Performance — Built-in deduplication and pagination handling to ensure unique results across large crawls.
• Clean Output — Automatically sanitizes HTML and decodes entities for professional, ready-to-use datasets.

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Use Cases

Job Market Analysis

Monitor hiring trends and demand for specific skills across various Czech regions. Identify which industries are growing and which roles are in highest demand.

Salary Benchmarking

Extract salary data to analyze market rates for different positions. Compare compensation packages across competitors and locations to optimize your own hiring strategy.

Recruitment Intelligence

Track competitor hiring activity and organizational changes. Use structured data to build lead lists or monitor the health of the job market in real-time.

Job Board Aggregation

Feed fresh, high-quality listings from Jobs.cz directly into your own job-search platform, internal database, or recruitment CRM.

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Input Parameters

The scraper accepts the following input parameters:

Parameter	Type	Required	Default	Description
keyword	String	No	—	Job title or skill to search for (e.g., "vývojář", "účetní").
location	String	No	—	City or region (e.g., "Praha", "Brno").
results_wanted	Integer	No	100	Maximum number of job listings to collect.
max_pages	Integer	No	20	Safety limit on the number of search pages to crawl.
collectDetails	Boolean	No	true	Visit each job page to extract full descriptions.
dedupe	Boolean	No	true	Automatically remove duplicate job listings by URL.
proxyConfiguration	Object	No	{ "useApifyProxy": true }	Proxy settings (Residential recommended).

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Output Data

Each item in the dataset contains structured information about a job listing:

Field	Type	Description
title	String	The official job title.
company	String	Name of the hiring organization.
location	String	City, region, or specific address.
salary	String	Salary range or fixed amount (if provided).
job_type	String	Employment form (e.g., Full-time, Contract).
date_posted	String	Publication date of the listing.
description_html	String	Cleaned, sanitized HTML content of the job ad.
description_text	String	Plain-text version of the job description.
url	String	Direct link to the job listing on Jobs.cz.

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Usage Examples

Basic Search

Extract the latest developer roles in Prague:

{
  "keyword": "vývojář",
  "location": "Praha",
  "results_wanted": 50
}

High-Volume Extraction

Collect a large dataset of accounting roles across the entire country:

{
  "keyword": "účetní",
  "results_wanted": 500,
  "max_pages": 50,
  "collectDetails": true
}

Targeted Scraping

Focus on a specific search by providing additional filters:

{
  "keyword": "manager",
  "location": "Brno",
  "results_wanted": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

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Sample Output

{
  "title": "Senior Java Developer",
  "company": "TechSolutions s.r.o.",
  "location": "Praha 4, Hlavní město Praha",
  "salary": "80 000 – 110 000 Kč",
  "job_type": "Plný úvazek",
  "date_posted": "2026-02-15",
  "description_html": "<p>Hledáme zkušeného Java vývojáře pro náš core tým...</p><ul><li>Java 17+</li><li>Spring Boot</li></ul>",
  "description_text": "Hledáme zkušeného Java vývojáře pro náš core tým... Java 17+, Spring Boot",
  "url": "https://www.jobs.cz/rpd/2054987654/"
}

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Tips for Best Results

Optimize Your Search

• Use Localized Keywords: While Jobs.cz supports English search, using Czech terms (e.g., "vývojář" instead of "developer") often yields more results.
• Specific Locations: Be precise with city names to narrow down results and improve performance.

Configuration & Speed

• Collect Details: Disabling collectDetails will significantly speed up the crawl if you only need basic information (title, company, URL).
• Manage Limits: Use results_wanted and max_pages together to control the scope and cost of your runs.

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Proxy Configuration

For reliable results and to avoid rate limiting, we strongly recommend using residential proxies:

{
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

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Integrations

Easily connect your Jobs.cz data with your favorite tools:

• Google Sheets — Export data directly for collaborative analysis.
• Airtable — Build a powerful, searchable recruitment database.
• Webhooks — Trigger external systems when a run finishes.
• Make / Zapier — Create automated workflows for your hiring pipeline.

Export Formats

Download your data in standard formats including JSON, CSV, Excel, XML, and RSS.

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Frequently Asked Questions

Can I scrape multiple jobs at once?

Yes, simply set the results_wanted parameter. The scraper will automatically navigate multiple pages to reach your target.

Is it possible to scrape specific companies?

While there isn't a direct "company" input, you can usually put the company name in the keyword field to find their active listings.

How often should I run the scraper?

We recommend scheduling runs every 24 hours to keep your data fresh without over-crawling.

Why are some descriptions incomplete?

The scraper cleans the HTML to remove navigation blocks and ads. If a description seems missing, check the description_text field for a plain-text fallback.

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Support

For issues, feature requests, or custom scraping needs, please contact support through the Apify Console.

Resources

• Apify Platform Documentation
• API Reference
• Scheduling & Automation Guide

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Legal Notice

This actor is designed for legitimate data research and collection purposes. Users are responsible for ensuring their use of the data complies with Jobs.cz's terms of service and relevant data protection laws (e.g., GDPR). Use data responsibly and respect website rate limits.