Glassdoor Job Postings Dataset

Notebook used for web scrapping : selenium-scrapper-Glassdoor-ds-jobs

Description:
The Glassdoor Job Postings Dataset is a comprehensive collection of data science job listings sourced from the popular employment and company review platform, Glassdoor. This dataset aims to provide valuable insights into the job market, industry trends, and employer characteristics.

Context:
The dataset captures a wide range of information related to job postings, including job titles, company details, job descriptions, required qualifications, location, salary ranges, and benefits. It is designed to facilitate research and analysis in the fields of human resources, labor market trends, and career development.

Sources:
The primary source of the dataset is the Glassdoor platform, where job postings are aggregated and anonymized to ensure user privacy. The data collection process involves regular web scraping to extract up-to-date information on job opportunities from various industries and sectors.

Inspiration:
The inspiration for creating this dataset stems from the growing need for reliable and detailed information on job markets, especially for job seekers, career counselors, researchers, and policymakers. Analyzing this dataset can offer valuable insights into the demand for specific skills, regional job trends, and the overall dynamics of the contemporary workforce.

Potential usecases:

• Job Market Analysis: Explore trends in job demand across different industries and geographic locations.
• Salary Trends: Analyze salary ranges for various positions and industries to understand compensation patterns.
• Skill Requirements: Identify the most sought-after skills and qualifications in the job market.
• Company Insights: Evaluate employer characteristics, including benefits offered, to gauge workplace attractiveness.