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Project 07 · Full-Stack · Data Engineering

ScrapFlow

Automated ETL and web-scraping workflow tool designed to extract, clean, and structure raw web data for downstream AI/ML analysis.

ScrapFlow Business Dashboard
Overview

ScrapFlow is an automated ETL and web-scraping workflow tool designed to extract, clean, and structure raw web data for downstream AI/ML analysis. It features a full business dashboard for intuitive data exploration and management.

The platform automates the entire data pipeline — from identifying and scraping target web sources, through data cleaning and normalization, to storing structured results in a relational database. The React-based frontend provides real-time analytics for inventory, purchases, and performance metrics.

Architecture
Target Web Sources ↓ Python Automated Scrapers (BeautifulSoup / Selenium) ↓ Data Cleaning & Normalization Layer ↓ Structured Relational Database ↓ React Frontend Dashboard ↓ Inventory & Purchase Analytics Visualization ↓ Clean Datasets Export for ML Pipelines
Key Features
Platform Interface
Tech Stack
Frontend
React Tailwind CSS Recharts
Backend
Python FastAPI ETL Pipeline
Database & Storage
PostgreSQL SQLite
Scraping & Data Engines
BeautifulSoup4 Selenium Pandas