TY - GEN
T1 - Leveraging Web Scraping to Identify Opportunities for Young Talent to UK Digital Manufacturing
AU - Dhole, Priyesh
AU - Khan, Imtiaz Hussain
AU - Khan, Imtiaz Ali
AU - Warner, Karl
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
PY - 2025/9/1
Y1 - 2025/9/1
N2 - The rapid evolution of digital manufacturing presents significant opportunities for economic growth and technological advancement in the United Kingdom (UK). However, the sector faces a critical shortage of skilled professionals, particularly among the younger generation. This paper explores the potential of leveraging state-of-the-art web scraping technologies to identify opportunities for attracting young talent to careers in UK digital manufacturing. By employing web scraping tools such as Scrapy, Selenium, and Magical, the study gathered and analysed data from online platforms like LinkedIn to assess the opportunities for the young talent in the UK digital manufacturing industry. The findings reveal key trends in job attractiveness, salary scales, and skill requirements, with a focus on how small and large companies differ in their approach to talent acquisition. The analysis raised some interesting questions which are worth exploring. In addition to, the insights gained provide actionable recommendations for educators, policymakers, and industry leaders to enhance the alignment between educational offerings and industry needs, thereby fostering a robust talent pipeline for the future of UK manufacturing.
AB - The rapid evolution of digital manufacturing presents significant opportunities for economic growth and technological advancement in the United Kingdom (UK). However, the sector faces a critical shortage of skilled professionals, particularly among the younger generation. This paper explores the potential of leveraging state-of-the-art web scraping technologies to identify opportunities for attracting young talent to careers in UK digital manufacturing. By employing web scraping tools such as Scrapy, Selenium, and Magical, the study gathered and analysed data from online platforms like LinkedIn to assess the opportunities for the young talent in the UK digital manufacturing industry. The findings reveal key trends in job attractiveness, salary scales, and skill requirements, with a focus on how small and large companies differ in their approach to talent acquisition. The analysis raised some interesting questions which are worth exploring. In addition to, the insights gained provide actionable recommendations for educators, policymakers, and industry leaders to enhance the alignment between educational offerings and industry needs, thereby fostering a robust talent pipeline for the future of UK manufacturing.
KW - Digital Manufacturing
KW - Job Market Analysis
KW - Linkedin Data
KW - Talent Acquisition Trends
KW - Web Scraping
KW - Young Talent
UR - https://www.scopus.com/pages/publications/105016255450
U2 - 10.1007/978-3-031-98287-3_14
DO - 10.1007/978-3-031-98287-3_14
M3 - Conference contribution
AN - SCOPUS:105016255450
SN - 9783031982866
T3 - Communications in Computer and Information Science
SP - 193
EP - 205
BT - Smart Technologies, Systems and Applications - 4th International Conference, SmartTech-IC 2024, Revised Selected Papers
A2 - Narváez, Fabián R.
A2 - Villa, Micaela N.
A2 - Díaz, Gloria M.
PB - Springer Science and Business Media Deutschland GmbH
T2 - 4th International Conference on Smart Technologies, Systems and Applications, SmartTech-IC 2024
Y2 - 2 December 2024 through 4 December 2024
ER -
