This n8n workflow automates the process of identifying trending hashtags from social media platforms and organizing them into Trello for content planning. It is scheduled to run daily, ensuring fresh insights are always available. The workflow starts with a schedule trigger, then prepares input parameters for the scraping process, such as the target website URL. It employs Bright Data MCP to scrape trending hashtags, which are then optionally enriched or cleaned using OpenAI’s GPT-4 model. The raw data is parsed into a structured format, converting numerical stats into text for compatibility. Finally, the hashtags, along with their usage and reach data, are automatically added as cards to a Trello board, providing a continuous updating content backlog for social media teams. This setup is ideal for content creators, social media managers, and marketing teams seeking to stay ahead of trends with minimal manual effort.

Node Count	11 – 20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.outputParserAutofixing, @n8n/n8n-nodes-langchain.outputParserStructured, code, n8n-nodes-mcp.mcpClientTool, scheduleTrigger, set, stickyNote, trello