Case Study
AI Web Automation &
Data Extraction Platform
Automating data collection from web sources with AI for faster, accurate and scalable business insights.
01 / Overview
Project Overview
An AI-powered web automation platform designed to extract, process and structure data from multiple web sources automatically, enabling organizations to access up-to-date and reliable information.
Role
AI/ML & Backend Development
Duration
5 Months
Industry
Enterprise Solutions
Services
Web Automation, Data Extraction, Data Processing, Pipeline Development
02 / Challenge
The Challenge
Manually collecting data from multiple websites was time-consuming, error-prone and difficult to scale due to changing website structures, anti-bot mechanisms and inconsistent data formats.
Dynamic Web Pages
Frequent changes in website structure and anti-bot protections.
Inconsistent Data
Different formats and unstructured data across various sources.
Manual Effort
High time and human effort to collect, clean and organize data.
03 / Solution
The Solutions
We developed an AI-powered automation platform using Selenium/Playwright for web automation, integrated with AI for intelligent data extraction and validation, and automated pipelines for structured data storage.
Web Automation
Automate browsing pipelines for structured data storage
Data Extraction
Extract relevant data using parsing and AI models
Data Cleaning
Clean, standardize and validate extracted data
Data Storage
Store in database or data lake
Monitoring & Alerts
Track job status and send alerts for failures
04 / Technology
Technology Used
PostgreSQL
Database Management
Playwright
Web Automation
Python
Scripting & Automation
Docker
Containerization
Selenium
Browser Automation
OpenAI
Data Extraction & Parsing
05 / Impact
Business Impact
70%
Reduction in manual effort
5x
Faster data collection
95%
Data accuracy and reliability
100+
Web sources integrated