InfoJobs, Spain’s premier job portal, as well as Jobs.bg for Bulgaria offer a robust dataset that can be leveraged through web scraping to support the data-driven goals of the AIVET project. The platform hosts data-rich job postings across sectors such as technology, healthcare, education, and retail:
- Job descriptions: Titles, responsibilities, and required qualifications.
- Skills and certifications: Details on the skills sought by employers, providing insights into labor market trends and mismatches.
- Salary information: Range and averages for roles, allowing for salary benchmarking across sectors.
- Employer profiles: Company descriptions, size, and ratings, giving context to hiring practices.
- Application metrics: Number of applicants per job, frequency of job postings, and timelines for hiring.
How Web Scraping Addresses AIVET’s Needs
Web scraping these platforms aligns directly with the AIVET project’s objectives by providing large volumes of structured and unstructured data, which can then be integrated into its AI-driven tools. Specifically:
- Quantitative Insights: Structured data, such as job descriptions and application statistics, can be used to identify patterns in job demand and skills shortages.
- Regional Disparities: Location-based data highlights geographic inequalities in job opportunities and helps tailor VET programs to specific local needs.
- Qualitative Enrichment: Employer reviews and feedback on CVs provide qualitative insights into hiring preferences and perceived gaps in VET graduate skills.
- Dynamic Labor Market Analysis: Real-time scraping ensures that the AIVET project uses the most up-to-date labor market intelligence, improving decision-making and the adaptability of VET programs.
- Triangulation with Qualitative Data: Combining scraped data with interviews and focus groups as planned in AIVET will allow for deeper triangulation, strengthening the project’s findings.
By leveraging data scraped from InfoJobs.net and Jobs.bg, AIVET can effectively meet its goals of enhancing skills intelligence, aligning VET training with labor market needs, and fostering greater inclusion and equity in vocational education systems across diverse European contexts.