Created by Made by: Mansour Albader
Electronic resources, such as job search websites, company websites, and professional networking platforms like LinkedIn, provide access to a vast and diverse array of job opportunities. Graduates can explore positions in various industries, locations, and fields, allowing them to find the best fit for their skills and interests.
Job searching electronically is much more efficient and convenient than traditional methods like scanning newspapers or walking into offices. Graduates can search and apply for jobs 24/7, from the comfort of their own homes, which saves time and effort.
Web scraping is a technique used to extract data from websites. It involves programmatically accessing and collecting information from web pages, typically in a structured format like HTML, and then converting that data into a more usable format, such as a spreadsheet or a database.
Web scraping is commonly employed for a variety of purposes, including:
Once the data is collected, it can be transformed into a structured format, such as a CSV file or a database, making it easier to analyze and work with. This project demonstrates this process by scraping job listings and organizing them in a searchable database.
Web scraping to gather job listings from multiple sources
Efficient searching through sorted job data
CSV format with comprehensive job information
The dataset includes the following fields for each job listing:
Access the complete project files including dataset, executable, and source code.
java -jar binarySearch.jar [KEY] [QUERY] [keyword]java -jar binarySearch.jar Title SEARCH "Software Engineer"
binarySearch.jar
Java executable
source.zip
Complete project source
Practical implementation of binary search and sorting algorithms for efficient data retrieval.
Techniques for extracting and structuring data from web sources.
Building complete applications with user interfaces and data processing capabilities.
