International Research Journal of Engineering and Technology (IRJET) Volume: 11 Issue: 04 | Apr 2024
www.irjet.net
e-ISSN: 2395-0056 p-ISSN: 2395-0072
Optimising Job Search using Web Scraping A.M. Kuthe1, Harshal Donarkar2, Charul Patel3, Mahek Qureshi4, Angad Bawankar5, Swapnil Chaurey6, Rohan Mahajan7 1 Assistant Professor ,Department Of Computer Science & Engineering, K. D. K. College Of Engineering, Nagpur,
Maharashtra, India
2,3,4,5,6,7 UG Student ,Department Of Computer Science & Engineering, K. D. K. College Of Engineering, Nagpur,
Maharashtra, India -------------------------------------------------------------------------***---------------------------------------------------------------------Abstract - This paper presents Web Scraping Portal, an innovative web application that leverages web scraping technology to aggregate, organize, and present job listings and internship opportunities from various online sources onto a centralized platform. The application aims to simplify the job search process, making it more userfriendly and efficient for both job seekers and employers.
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Data Harvesting: You’ll scrape relevant data from job websites, collecting details about job listings, companies, and other relevant information.
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Data Upload: The harvested data will then be uploaded to the Web Scraping Portal website. This step ensures that the platform has the most up-to-date information about available jobs and companies.
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User Registration: Users will need to register on the Web Scraping Portal. Once registered, they gain access to the platform’s features.
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Job Suggestions: The application will analyze the user’s preferences, skills, and other relevant factors. Based on this information, it will suggest relevant job listings to the user.
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Filtering Options: Users can further refine their job search by applying filters. These filters might include location, industry, job type, salary range, and more.
Key Words: Web Mining, Resume Parsing, Skill Gap Analysis, Job Market Trends, AI-powered Job Search
1. INTRODUCTION "In today’s fast-paced digital era, the pursuit of suitable employment opportunities can be a daunting task. The proliferation of online job portals, company websites, and recruitment platforms has led to an abundance of information, which paradoxically complicates the search process. Despite the numerous existing solutions, there remains a need for a more efficient and user-friendly platform. This paper introduces Web Scraping Portal, a pioneering platform that addresses this pressing need. Unlike traditional job portals, Web Scraping Portal employs advanced data extraction techniques to streamline and optimize job and internship searches. This novel approach allows the Web Scraping Portal to aggregate and present relevant job listings from various online sources onto a centralized platform, thereby simplifying the job search process.
By combining web scraping, data upload, and personalized job suggestions, the Web Scraping Portal aims to streamline the job search process for users.
The paper further discusses the design and implementation of the Web Scraping Portal, presents a comprehensive evaluation of its performance and effectiveness, and explores its potential implications for both job seekers and employers. Whether you’re a recent graduate embarking on your career journey or a seasoned professional seeking new challenges, Web Scraping Portal offers unparalleled convenience and efficiency. With our centralized hub, users can streamline their search and focus on what truly matters – finding the perfect fit." Fig-1: Overview of a Web Scrapping
In Web Scraping Portal, you’ll be utilizing web scraping to extract data from job websites and information about job-providing companies. Here’s how the process works: © 2024, IRJET
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