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About Project

Vivere Emmy is a software development project to create an advanced Amazon product analysis tool for a German client. It utilizes a Django server to collect data from multiple sources, including APIs and web scraping and generates insights and statistics for different products.

Client's Need

Our esteemed client wanted to obtain comprehensive product insights from multiple sources and desired the ability to calculate meaningful statistics based on the gathered data.

Solution

We have created a web server that seamlessly integrates with external APIs, filters essential data, and leverages web scraping techniques to extract information from CSV files. This inclusive approach allows for precise statistical calculations and equips clients with valuable insights to support decision-making. The primary data sources utilized in this project were the Keepa API, Rainforest API, and Helium 10. However, a challenge arose with Helium 10, as it needed to provide APIs. To overcome this obstacle, we developed a web scraper using Selenium as the chosen tool. The server was then configured to handle multiple scraping requests asynchronously efficiently. Lastly, the entire system was deployed on AWS EC2 for optimal performance.

Client Name

Pascal Sulser

Company Name

Vivere

Technology

AWS Elastic Beanstalk
AWS
Selenium
Automation
Django
Django Rest Framework

Platform Availability

web

Need Help ?

Let us know if you have any concern or query and we will be happy to help.

Client Name

Pascal Sulser

Company Name

Vivere

Technology

AWS Elastic Beanstalk
AWS
Selenium
Automation
Django
Django Rest Framework

Platform Availability

web

About Project

Vivere Emmy is a software development project to create an advanced Amazon product analysis tool for a German client. It utilizes a Django server to collect data from multiple sources, including APIs and web scraping and generates insights and statistics for different products.

Client's Need

Our esteemed client wanted to obtain comprehensive product insights from multiple sources and desired the ability to calculate meaningful statistics based on the gathered data.

Solution

We have created a web server that seamlessly integrates with external APIs, filters essential data, and leverages web scraping techniques to extract information from CSV files. This inclusive approach allows for precise statistical calculations and equips clients with valuable insights to support decision-making. The primary data sources utilized in this project were the Keepa API, Rainforest API, and Helium 10. However, a challenge arose with Helium 10, as it needed to provide APIs. To overcome this obstacle, we developed a web scraper using Selenium as the chosen tool. The server was then configured to handle multiple scraping requests asynchronously efficiently. Lastly, the entire system was deployed on AWS EC2 for optimal performance.

Need Help ?

Let us know if you have any concern or query and we will be happy to help.

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