A Python web scraper using Scrapy to collect job posting information from LinkedIn.
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Updated
Jun 1, 2024 - Python
A Python web scraper using Scrapy to collect job posting information from LinkedIn.
LinkedIn Jobs scraper and Discord bot
A full-featured Job Portal web application built with three key user roles: Admin, User (Job Seeker), and Recruiter (Job Provider). This platform allows job seekers to apply for jobs and recruiters to post and manage job listings, with admin supervision to ensure platform integrity.
A project aiming to leverage text embeddings and Milvus, a high-performance vector search engine, to detect duplicate job postings.
A comprehensive project using Python, APIs, web scraping, and data visualization to identify emerging skills in demand. Includes data collection, wrangling, analysis, visualizations, a Google Looker Studio dashboard, and a final presentation.
A machine learning model is built using PySpark's MLlib library to automatically flag suspicious job postings on Indeed.com. The dataset includes 18,000 job descriptions, out of which about 800 are fake.
Job posting data scraped from Indeed.com. This data is used in django web for testing purpose.
Hiring Devs / Hiring Full Stack NodeJS Developer
This project detects duplicate job postings using SentenceTransformers for semantic embeddings and Milvus for efficient vector similarity search. It includes data preprocessing, evaluation metrics, and a FastAPI service for real-time duplicate detection.
This repository contains a cleaned and combined dataset of job postings, originally collected in 2015. It is intended to be used as a baseline for research and development related to job posting analysis and fake job detection.
A ready-to-deploy, open-source digital hub solution for industry associations to drive digital transformation
Scrape job postings from the FedEx career page. The scraper runs at 5-minute intervals, collecting and storing data in both PostgreSQL and MongoDB. Automatic duplicate checking and removal of job postings that are no longer available, leveraging Redis for efficient tracking.
📊 Analyze and detect fake job postings with this cleaned and combined dataset of job ads collected in 2015, ideal for research and development.
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