This workflow automates the process of analyzing a specific webpage, such as a Shopify store, to gather detailed insights about its structure, metadata, scripts, and calls-to-action (CTAs). It starts with a scheduled trigger to periodically run the analysis, then defines the target URL and tagging context. Using AI-powered scraping via Bright Data’s MCP with a custom instruction set, it loads the webpage as a mobile user, extracts key page elements such as metadata, analytics scripts, CTAs, page structure, and potential funnel stage indicators. The scraped data is parsed, cleaned, and then automatically recorded into a Google Sheet for ongoing tracking and reporting. This workflow is ideal for digital marketers, SEO specialists, or website analysts who want to regularly monitor and optimize landing pages or sales funnels without manual effort.
Smart Website Funnel Analyzer: Automate Shopify Insights
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.outputParserAutofixing, @n8n/n8n-nodes-langchain.outputParserStructured, googleSheets, n8n-nodes-mcp.mcpClientTool, scheduleTrigger, set, stickyNote |
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