Overveiw

This project is an ambitious web scraping initiative created to extract job listings from the National Labor Exchange (NLx). Its primary goal is to collect detailed job data, including titles, descriptions, locations, and company information, to support data analysis and machine learning projects focused on employment trends and job market insights. This project leverages Python and web scraping libraries like BeautifulSoup and Scrapy for efficient data collection and processing.

Methodology

• Data Collection: Used Python and web scraping libraries such as BeautifulSoup and Scrapy to scrape job listings from the National Labor Exchange (NLx) website.
• Dynamic URL Handling: Implemented dynamic parameters to generate request URLs, ensuring comprehensive data collection across various job listings.
• Proxy Management: Rotated and validated HTTP proxies to maintain continuous scraping without IP bans and to simulate browser requests.
• Data Cleaning: Cleaned and transformed the extracted data to ensure accuracy and consistency.
• Data Storage: Stored the cleaned data in CSV files for further analysis and processing.