JobTracker

A CLI-based job scraping tool for a Hungarian job portal built with Python and Playwright.

Overview

JobTracker automates job search by collecting listings from multiple pages and exporting results to CSV, sorted by posting date.

The main issue this tool solves is that job search results cannot be reliably sorted by posting date on the source site. This makes it difficult to find newly published listings manually.

This tool automates the process by:

• Collecting all job listings from a search result
• Extracting posting dates
• Sorting results chronologically
• Exporting results into a CSV file

It saves time during job hunting by making the newest opportunities immediately visible.

Features

• Scrapes all pages of a search result
• Extracts:
  • Posting date
  • Job ID
  • Company name
  • Job title
  • Location
  • Work mode (e.g., Hybrid, On-site, Remote)
  • Job URL
• Supports multiple search profiles
• Exports results to timestamped CSV files
• Automatically sorts jobs by posting date (newest first)
• Command-line interface

Installation

Prerequisites

• Python 3.10+
• Google Chrome
• pip

Setup

1. Install Python dependencies:

pip install -r requirements.txt

2. Install Playwright browser binaries:

playwright install

Chrome Setup

The scraper connects to a running Chrome instance via remote debugging.

Option 1: Manual Chrome Launch

Start Chrome with remote debugging enabled:

"C:\Program Files\Google\Chrome\Application\chrome.exe" --remote-debugging-port=9222 --user-data-dir="C:\chrome-debug"

Option 2: Automatic Launch

The script can launch Chrome automatically (see start_chrome_debug() in the code).

Configuration

Edit config.py to define your search profiles. Each profile is a saved search URL from profession.hu.

Example:

PROFILES = {
    "marketing": "https://www.profession.hu/allasok/online-marketing/...",
    "crm": "https://www.profession.hu/allasok/budapest/...",
    "marketing_hybrid": "https://www.profession.hu/allasok/marketing-media-pr/...",
}

You can create new profiles by:

1. Performing a job search on the site with your desired filters
2. Copying the URL from the browser address bar
3. Adding it to the PROFILES dictionary in config.py

Also, update the OUTPUT_PATH variable to specify where CSV files should be saved.

Usage

Run the scraper with a profile name defined in config.py:

python jobtracker.py <profile_name>

Examples:

python jobtracker.py marketing
python jobtracker.py crm
python jobtracker.py marketing_hybrid

The script will:

1. Launch the browser and navigate to the saved search URL
2. Scrape all pages of results
3. Parse job posting dates (including Hungarian date formats)
4. Sort jobs by posting date (newest first)
5. Export results to a CSV file with a timestamp

Sample output:

Total jobs found: 55
Loading page 1...
Loading page 2...
Loading page 3...
Total scraped: 55

CSV Output

date	id	company	title	location	work_mode	url
2026-05-31	100001	Example Corp	Marketing Analyst	Budapest	Hybrid	https://example.com
2026-05-29	100002	Sample Ltd	CRM Specialist	Budapest	Hybrid	https://example.com
2026-05-28	100003	Demo Inc	Product Analyst	Remote	Remote	https://example.com

Limitations

• Depends on the current HTML structure of the target site
• Changes in layout may require selector updates
• Date parsing relies on localized text formats

License

MIT License

Author

Bence Markiel