Automating Data Retention From a Website Using an Application Programming Interface

Abstract

The collection and storage of data from websites is crucial for businesses, researchers, and other organizations to gain insights into user behavior and trends. However, with the increasing emphasis on data protection regulations and data privacy concerns, ensuring compliance with data retention policies can pose significant challenges. Traditional methods of web scrapping, which involve manually extracting data from websites, can be time-consuming and may violate data protection regulations. To overcome these challenges, this paper proposes an API-based solution for automating data retention from a website. The proposed solution leverages Python and the Requests and Beautiful Soup libraries to extract data from the website’s API and store it in a local database. The API provides a standardized and secure way of accessing the data, reducing the risk of data breaches, and ensuring compliance with data protection regulations. The solution includes a data retention policy that ensures that data is retained only for the necessary period, reducing storage costs and the risk of data breaches. The proposed solution provides an efficient and compliant method for collecting and storing data from websites. It reduces the time and resources required for data collection, while also providing valuable insights into trends and patterns in the data. The solution can be adapted to various use cases, such as market research, competitor analysis, and customer behavior analysis. Overall, the proposed solution provides an effective way to automate data retention from websites while ensuring compliance with data protection regulations.