Web Development & Web Scraping
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Web Development & Web Scraping
In a past project, our team took on the task of gathering data from all over the country, including major chain stores. Using a Python-based web scraping system, we made sure to collect accurate information about product prices, specifically breaking it down to prices per kilogram. This organized dataset was then sorted based on regions, providing clients with valuable insights for better price management strategies.
Moving beyond data gathering, we also built a user-friendly portal with a Django backend and React frontend. This portal became a central hub for clients to easily interact with and observe the organized product prices. Our approach ensured not only precise and relevant information but also a practical interface for making informed decisions in their pricing strategies.
Approach to Future Projects
Looking ahead, our approach involves a strategic and iterative methodology. We aim to continually improve our web scraping capabilities, staying updated on evolving technologies for efficient and accurate data collection. Client collaboration will be key, guiding us to refine data processing methodologies for standardized outputs. Moreover, we plan to prioritize the seamless integration of user-friendly portals, leveraging advancements in backend and frontend technologies. This ensures our clients not only get precise information but also have intuitive platforms for decision-making.