Hacken - Data Scrapping project

Industry

Data Science

Country

Ukraine

TEAM size

2

Period of collaboration

2023

About the Client/Project

Hacken, an international cybersecurity company with Ukrainian roots, approached us to develop a centralized system for private use only capable of gathering data from various sources, processing it, and presenting it in a unified repository.

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The task that confronted us

Challenge / Problem #1
Several APIs integration
Challenge / Problem #2
Custom cloud deploy
Challenge / Problem #3

Solution

The final product we engineered seamlessly integrated eight independent APIs for data collection. We constructed and linked a Google Cloud Platform (GP) instance to the product, where the gathered and processed data is seamlessly outputted through integration with Google Spreadsheets.

Services provided:

Backend

DevOps services & optimizations (AWS)

Data scrapping

Technologies:
Python

Reasons to partner with ValthSolutions 

Full-Cycle Development

From architecture to market launch we have got it covered. Whether we carry out a brand-new idea or refine an existing one, we're equally profoundly involved. Before delving into development, we invest deeply in comprehensive briefing, meticulous planning, and road mapping. This groundwork ensures a solid foundation for development.

Personal investment

Beyond providing a service, we take a personal approach, treating your product as if it were our own. This level of commitment ensures that we align with your goals and aspirations, going the extra mile to ensure your success.

User-Driven Design

Our UI/UX design focuses on creating an intuitive and seamless experience for users, enabling them to effortlessly connect with the core value of your product. By adhering to best practices and emphasizing accessibility and usability, we craft interfaces that resonate with your audience.

Result

Our solution successfully addressed the challenge posed by Hacken, creating an integrated and private-use work utility that centralizes audit results from diverse sources, ultimately optimizing data management and utilization.

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