This n8n workflow automates the process of generating Instagram content ideas based on recent posts related to a specific hashtag. Starting with a manual trigger, it sets a search term (hashtag), scrapes recent Instagram posts using the Apify API, extracts their captions, and aggregates this data into a single text block. The workflow then sends this consolidated content to an AI language model (GPT-4o-mini) to generate relevant post ideas and identify common themes. The output is parsed into a structured JSON, and the ideas are split into individual items for easy review. Overall, this workflow helps social media managers and content creators quickly generate engaging post ideas informed by trending content on Instagram.

Node Count	11 – 20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.outputParserStructured, aggregate, code, httpRequest, manualTrigger, merge, set, splitOut, stickyNote