This n8n workflow automates a comprehensive research process triggered by a webhook. It starts with receiving a research request via a POST webhook, which then processes and validates the input parameters including topic, depth, sources, and timeframe. The workflow generates specific search queries based on these parameters, tailored for different research depths.

Subsequently, it runs three parallel AI-powered scraping nodes to gather insights from general web content, recent news articles, and academic papers. The collected data is then merged and processed to create structured research insights, including key findings, statistics, expert opinions, and source credibility. An advanced AI analysis (using GPT-4) synthesizes this data into a clear executive summary, highlighting major trends and recommendations.

Finally, the results are stored in a Google Sheets document for record-keeping and future analysis. The workflow concludes by sending a JSON response via webhook, indicating the completion status, session ID, total sources analyzed, and timestamp.

This automation is useful for market analysts, researchers, and business intelligence teams who need to quickly gather, analyze, and store diverse research data from multiple sources, all triggered by a simple web request.

Node Count	11 – 20 Nodes
Nodes Used	code, googleSheets, merge, n8n-nodes-scrapegraphai.scrapegraphAi, respondToWebhook, splitInBatches, stickyNote, webhook