This n8n workflow automates the process of monitoring weather-related posts on Yelp for a specified location, in this case, Los Angeles, and creating structured marketing campaigns based on sentiment analysis. The process begins with a manual trigger allowing the user to input the Yelp URL for relevant weather posts. The workflow then leverages AI-powered scraping tools to gather posts and analyze their sentiment—positive, negative, or neutral. Based on the sentiment, tailored campaign suggestions are generated for each business or post. Finally, a Trello card is automatically created, summarizing each campaign with detailed insights to assist marketing teams in their outreach efforts. This workflow is ideal for businesses looking to leverage local sentiment data for targeted marketing campaigns, especially in dynamic weather conditions affecting customer behavior.
Automated Yelp Weather Posts Monitoring and Campaign Creation
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, manualTrigger, n8n-nodes-mcp.mcpClientTool, set, stickyNote, trello |
Reviews
There are no reviews yet.