Kisworks

About The Client

JobScrapper is an AI-powered job recommendation platform developed by KISWorks. It automates job discovery by intelligently parsing CVs, matching candidates with relevant opportunities based on skills and location preferences, and delivering personalized recommendations directly to their inbox.

Key Features

Automated Profile Creation
AI Job Matching
Job Scraping & Aggregation
Daily Job Alerts

Challenge

Exhaustive Manual Search

Candidates spend hours daily browsing multiple job boards with no guarantee of finding relevant positions. Repetitive data entry and high application demands create an unsustainable workload for job seekers.

Information Fragmentation

Job listings are scattered across thousands of websites, job boards, and career pages. Duplicate listings create confusion, while outdated postings lead candidates to make futile applications.

Inefficient Candidate Matching

Traditional job platforms rely on simple keyword searches rather than understanding CV context, soft skills, or transferable qualifications, resulting in mismatched recommendations.

Solution

CV Parsing & Automated Profile Creation

Utilized NLP and machine learning algorithms to automatically parse candidate CVs in all formats (PDF, Word, images) with 92–96% precision. System recognizes semantic relationships, synonyms, and implied qualifications.

Multi-Dimensional AI Matching & Scraping

Monitors thousands of job boards and career pages daily, capturing positions across mainstream and specialized sites. Evaluates skills, location, and qualifications to generate real-time compatibility scores.

Personalized Email Recommendations

Delivers tailored daily job alerts straight to candidate inboxes, featuring direct application links, key job details, and mobile-friendly formatting to eliminate manual searching.

Industry: AI & Recruitment

Technology Stack

Built with cutting-edge technologies to deliver exceptional performance and scalability

Frontend

HTML5
CSS3
Bootstrap

Backend

Python / Machine Learning
Django
N8N

APIs & Integrations

Google APIs
Web Scraping APIs
Google SERP API
Email Automation

Result

Substantial Time Savings

Eliminated 10–15 hours per week of manual job searching and reduced time-to-apply for relevant positions by 60–70%.

Higher Match Quality & Response Rates

Skills-based matching identified 40% more relevant opportunities, boosting application relevance by 25% and resulting in 30–35% higher response rates from employers.