End-to-End Website Data Extraction Automation with n8n This project is an automated website data extraction workflow built with n8n. The system is designed to fetch a website homepage, extract internal page URLs, loop through selected pages, collect page content, clean and structure the extracted data, and generate a final organized output automatically.

The workflow includes multiple automation steps such as homepage fetching, URL extraction, page-by-page looping, delay handling, individual page requests, content cleaning, data aggregation, JavaScript-based processing, and document updating. This makes the system useful for website audits, content collection, lead research, SEO analysis, documentation generation, and business data extraction tasks.

My work focused on building the full n8n workflow structure, connecting each automation node, adding controlled delays between page requests, processing extracted content with JavaScript, merging results into a clean format, and sending the final output into a document. The result is a practical end-to-end automation system that reduces manual website research and turns web content into organized, reusable data.

Skills & Tools: n8n, Workflow Automation, Web Scraping, Website Data Extraction, JavaScript, API Requests, HTTP Request Automation, Data Cleaning, Data Aggregation, Document Automation, No-Code Automation, Low-Code Development, Business Process Automation, SEO Data Collection, Content Extraction.

😊 AI-Powered Appointment Booking Automation with n8n This project is an AI-powered appointment booking automation system built with n8n. The workflow is designed to let a user interact with a conversational AI assistant, request an appointment, provide personal details, and move through the booking process automatically.

The system uses an AI agent connected with a knowledge base, memory, vector storage, and external tools. It can understand user messages, ask follow-up questions, collect booking information such as name and email, check calendar availability, create a calendar event, and send confirmation messages through Gmail. The workflow also includes document ingestion, text extraction, embeddings, and Supabase Vector Store integration so the assistant can answer based on stored business information.

My work focused on building the full automation flow inside n8n, connecting AI models, configuring memory and knowledge base retrieval, integrating Google Calendar and Gmail actions, and testing the conversational booking process from start to finish. The result is a practical AI assistant system that can reduce manual appointment scheduling work and provide a smoother customer booking experience.

Skills & Tools: n8n, AI Automation, Workflow Automation, AI Agent, Google Calendar API, Gmail Automation, Supabase Vector Store, HuggingFace Embeddings, Google Gemini, Groq, RAG Workflow, Knowledge Base Integration, Chatbot Automation, Appointment Booking System, CRM/Business Process Automation.