Mutabalis

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.

01
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Efficient Web Scraping

Our Python-based system collected nationwide data with precision, emphasizing prices per kilogram.

02
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Data Refinement

We refined and organized the dataset by regions, presenting prices per kilogram to industry standards.

03
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Portal

Crafting a user-friendly portal with Django backend and React frontend provided clients with an accessible platform for informed decision-making.

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.

  • Step 1

    Project Scope Definition

    A thorough analysis defined the project scope, emphasizing comprehensive data gathering from all regions and major chain stores.

  • Step 2

    Strategic Web Scraping Implementation

    Strategically implementing a Python-based web scraping system ensured systematic data collection from diverse sources.

  • Step 3

    Data Processing and Portal Launch

    After extracting the data, straightforward processing concluded with the launch of a user-friendly portal for client interaction and observation.

About Company

We have 20+ years experience creating data driven solutions.

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0203 576 4931

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