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 project aiming to leverage text embeddings and Milvus, a high-performance vector search engine, to detect duplicate job postings.
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.
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.
Job posting data scraped from Indeed.com. This data is used in django web for testing purpose.
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.
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