Automated Data Scraping & Integration System

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As part of the company's data-driven initiatives, I developed a comprehensive automated data scraping and integration system leveraging JavaScript Puppeteer for scraping and Laravel for backend management. This project focuses on collecting master data from multiple online sources, ensuring accuracy, consistency, and reliability for downstream business operations.

The system is designed to operate with minimal human intervention, running scheduled tasks to gather and update data seamlessly. Collected data is processed, validated, and stored in a centralized database, making it accessible via secure APIs for other internal systems.

1. Intelligent Data Scraping - Automated extraction of structured and unstructured data from multiple targeted sources using Puppeteer.

2. Centralized API & Database Integration - Storage of processed data in a centralized database with API endpoints for easy integration across the company’s platforms.

3. Automated Scheduling - Task automation to scrape and update data at predefined intervals without manual execution.

This project provides the company with a reliable, automated, and scalable data acquisition system, ensuring that all departments have access to up-to-date and accurate master data for decision-making, analytics, and operational efficiency.