Automate deep research with ScrapeGraphAI, GPT-4 & Google Sheets
Deep Research Agent with AI Analysis and Multi-Source Data Collection 🎯 Target Audience - Market researchers and analysts - Business intelligence teams - Academic researchers and students - Content creators and journ...
Template notes
Deep Research Agent with AI Analysis and Multi-Source Data Collection
🎯 Target Audience - Market researchers and analysts - Business intelligence teams - Academic researchers and students - Content creators and journalists - Product managers conducting market research - Consultants performing competitive analysis - Data scientists gathering research data - Marketing teams analyzing industry trends
🚀 Problem Statement Manual research processes are time-consuming, inconsistent, and often miss critical information from multiple sources. This template solves the challenge of automating comprehensive research across web, news, and academic sources while providing AI-powered analysis and actionable insights.
🔧 How it Works
This workflow automatically conducts deep research on any topic using AI-powered web scraping, collects data from multiple source types, and provides comprehensive analysis with actionable insights.
Key Components
1. Webhook Trigger - Receives research requests and initiates the automated research process 2. Research Configuration Processor - Validates and processes research parameters, generates search queries 3. Multi-Source AI Scraping - Uses ScrapeGraphAI to collect data from web, news, and academic sources 4. Data Processing Engine - Combines and structures data from all sources for analysis 5. AI Research Analyst - Uses GPT-4 to provide comprehensive analysis and insights 6. Data Storage - Stores all research findings in Google Sheets for historical tracking 7. Response System - Returns structured research results via webhook response
📊 Google Sheets Column Specifications