Internship: Smart Web Scraper Tool for Predicting and Detecting Hardware/Software Obsolescence Online

Internship: Smart Web Scraper Tool for Predicting and Detecting Hardware/Software Obsolescence Online

Assignment type: Internship

Start date: September 2025

Assignment duration: 3 – 6 months

Desired study: Computer Science, Data Science, Artificial Intelligence, Information Technology and Software Engineering

Language: English

Description of assignment

Are you passionate about coding, data, and solving real-world tech challenges? Join us as an intern and help build an intelligent Web Scraper tool that detects and predicts hardware and software End-of-Life (EOL) from online sources. You'll gain hands-on experience in web crawling, data extraction, and automation, contributing to proactive IT lifecycle management.

EOL awareness is vital for maintaining security, compliance, and operational efficiency. Once hardware or software reaches EOL, it stops receiving updates and support, increasing the risk of cyberattacks and system failures. Our tool aims to automate the monitoring of EOL information by crawling manufacturer websites, forums, and databases to identify announcements, end-of-support dates, and discontinuations.

The goal is to process this data to provide early warnings of obsolescence, enabling businesses to plan timely upgrades, avoid costly downtime, and reduce risk. This is a unique opportunity to apply your technical skills to a project with real-world impact.

Department description

You will be joining the AMZ DSD (Amazon Dedicated Service Department) team within Vanderlande’s Service business unit. The team operates at the intersection of high-performance logistics, customer support, and technical innovation, closely collaborating with global AMZ FCs and various internal departments. The working environment is dynamic and multidisciplinary, where collaboration, creativity, and initiative are highly valued. Interns are treated as full team members, actively contributing to impactful projects and strategic discussions.

Tasks/responsibilities

• Literature Review: Conduct a study of existing data we have on hardware/softwares used in Amazon FCs, how internally data is stored on EOL
• Tool Implementation: Design and implement a tool to collect the device/software list when a site was launched and with web scarping details on EOL.
• Documentation: Document the results comprehensively and present findings to the team.
• Testing and Validation

Your profile

• Proactive attitude and problem-solving mindset
• Experience or interest in AI, scripting (e.g., Python), and dashboarding tools (e.g., Power BI, Grafana)
• Basic knowledge of networking or industrial systems is a plus
• Passion for sustainability and innovation
• Strong communication skills
• Ability to work independently and in a team
• *Mandatory enrolment to a Dutch Education System & resident of The Netherlands.