This study examines the job creation potential of offshore wind energy development in Poland, Germany, and the United Kingdom using high-frequency job posting data. Based on 258 postings collected daily between March and May 2024, the study offers an exploratory, descriptive comparison. By leveraging web scraping techniques to collect job posting data from LinkedIn, the research provides a comparative analysis of labour market trends across these three countries, each representing different stages of offshore wind sector maturity. The methodology combines web scraping, data mining, and statistical analysis to assess the geographical distribution, job types, and relative demand for offshore wind energy positions. Key findings reveal differences in job posting patterns among the analysed countries, with Poland showing the highest ratio of offshore wind job postings per million inhabitants, which may reflect its emerging market status. This research contributes to the understanding of how offshore wind energy development impacts local and national job markets, offering valuable insights for policymakers, industry stakeholders, and researchers. The study also highlights the potential of high-frequency online job posting data for labour market assessment, particularly in rapidly evolving sectors like renewable energy.
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Majkowska et al. (2026) studied this question.
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