This n8n workflow automates the monitoring of Facebook Ads for specific brands or keywords. It triggers hourly, scrapes ad data from the Facebook Ads Library using Bright Data MCP, and analyzes individual ads’ performance metrics such as CTR and CPA. Ads that underperform based on predefined thresholds are flagged, and alert emails are automatically sent to notify marketers of potential issues. The workflow leverages OpenAI models to structure and process scraped data, ensuring accurate and actionable insights. This setup is ideal for digital marketers seeking to optimize ad campaigns by promptly identifying and addressing underperforming ads without manual oversight.

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, gmail, if, n8n-nodes-mcp.mcpClientTool, noOp, scheduleTrigger, set, stickyNote