This n8n workflow is designed to assist YouTube content creators by analyzing trending videos within a specific niche over the past two days. The process begins with a webhook trigger, which activates an AI agent tasked with identifying trending topics based on user input or suggested niches. The agent executes multiple YouTube searches with relevant queries to gather recent videos, then fetches detailed statistics like views, likes, comments, descriptions, and tags for each video. The workflow includes data cleaning and summarization steps to remove irrelevant information and emojis, aggregating insights on what content is currently trending.

Key nodes include the AI agent for niche identification and trend analysis, YouTube search for fetching recent popular videos, HTTP requests to retrieve detailed video statistics via the YouTube API, and memory nodes for storing and processing data across iterations. Additional nodes filter videos based on length, ensuring only videos shorter than 3 minutes and 30 seconds are considered.

This workflow is particularly useful for content creators seeking to stay ahead of trends, optimize their content strategy, or generate data-driven ideas based on recent YouTube activity within their niche. By automating the collection and analysis of trending video data, creators can quickly adapt their content to current viewer interests and increase engagement.

Node Count	11 – 20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.toolWorkflow, code, httpRequest, if, set, splitInBatches, stickyNote, youTube