Paper Club: Web Scraping Strategies

​For this session, Yu Xuan will be covering the paper "Comparative Analysis of Dynamic Web Scraping Strategies: Evaluating Techniques for Enhanced Data Acquisition" (Sharma & Borkar, 2024).

​Discuss more about the comparative analysis of major web scraping libraries and explore how they handle dynamic content in modern web pages. Let’s examine the fascinating findings on performance metrics and the comparative framing of major web scraping libraries; particularly how they manage dynamic content across modern web platforms.

​Note: Participants are to read the paper in advance to engage more fully with the technical and methodological details during the session.

​More About the Host:

​Yu Xuan is an undergraduate in Data Science and Economics at NUS, where she wears multiple hats - as an Economics Research Assistant working with Dr Siddharth George and Prof Jessica Pan on labour market research, and as an intern at the Ministry of Digital Development and Information's National AI Group. Her experience spans from optimizing trading algorithms at WorldQuant (where she achieved Gold level performance) to conducting statistical analysis on labour economics and market disparities. Yu Xuan brings together rigorous data analysis skills with practical applications across both public and private sectors.

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​About Lorong AI

​Lorong AI is a co-working hub where AI practitioners connect, share knowledge, and grow through curated programming and a collaborative environment. Home to programmes like AI Wednesdays and AI ToolsDays, Lorong AI offers hands-on workshops, technical deep dives, and opportunities to solve real-world challenges with AI.