This n8n workflow automates the retrieval, analysis, and structured presentation of product data from a webpage. It is designed to handle incoming product requests through a webhook trigger, fetch the corresponding product HTML content, and extract inline scripts embedded within the page. The workflow then leverages advanced AI models, including a Large Language Model (LLM) via LangChain and Google’s Gemini, to analyze the scripts and generate structured JSON data. Finally, it sends the processed and formatted product data back to the client. This workflow is especially useful for eCommerce sites, market research, or product comparison platforms that require automated content scraping and data analysis.
Automated Product Data Extraction and Analysis Workflow
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.outputParserStructured, code, httpRequest, respondToWebhook, stickyNote, webhook |
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