HumanitarianJobs-Extractor-Plus

HumanitarianJobs-Extractor-Plus is an advanced Python script tailored for job-seekers in the humanitarian sector. This project is the enhanced version of the earlier scraping tool, UNJobs-Selective-Extractor, and offers more refined capabilities for automated job scraping from international humanitarian job boards.

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Key Features

• Automated Job Scraping: Automatically extracts job listings from multiple humanitarian job boards using a dynamic URL parsing method based on selected countries.
• Keyword Filtering: Filters job listings by user-defined keywords to ensure the results are highly relevant to the searcher’s interests.
• Multi-Country Searches: Supports scraping from multiple countries simultaneously, enhancing the script's utility for users looking for global opportunities.
• Excel Output: Organizes scraped data into an Excel spreadsheet with two sheets: one for all listings and another for listings that match priority keywords.
• Customizable Parameters: Users can easily add or remove keywords and countries through a simple graphical user interface, making the script flexible and user-friendly.

These features are designed to make the job search process more efficient and tailored, especially for professionals in the humanitarian sector.

Installation

Prerequisites

• Git (for cloning the repository)
• Python 3.x
• pip (Python package installer)

Cloning the Repository

To clone the repository and access the script, run the following command in your terminal:

git clone https://github.com/Op27/HumanitarianJobs-Extractor-Plus.git
cd HumanitarianJobs-Extractor-Plus

Dependencies

Install the necessary Python packages using pip:

pip install requests beautifulsoup4 pandas openpyxl

Usage

Setting Up Your Keywords and Countries

To customize the job scraper to better match your job search criteria, you can modify the default keywords and countries lists in the script.

Here is how you can edit these default lists in the job_scraper.py script:

# Variables for the editable lists
 keywords = ['Data', 'data', 'Information', 'information', 'analysis', 'Analysis', 'Engineer', 'Developer', 'GIS', 'Geographic']
 countries = ['serbia', 'hungary', 'poland']

Running the Script

To run the script, use the following command in your terminal:

python job_scraper.py

User Interface

The script includes a simple GUI built with Tkinter, allowing users to add or remove keywords and countries interactively before starting the scraping process.

Features

• Scrapes job listings from specified URLs based on country and keyword filters.
• Outputs the results in an Excel file, categorizing them into full and selected listings based on priority keywords.
• Provides a GUI for dynamic interaction with the user to customize the scraping process.

Contributing

Contributions to the HumanitarianJobs-Extractor-Plus are welcome! Please fork the repository and submit a pull request with your proposed changes.

License

This project is licensed under the MIT License - see the LICENSE.md file for details.