Intelligent Product Data Extraction & Analysis
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Automate the extraction and analysis of product data from web pages using AI. This workflow fetches product details, processes embedded scripts, and leverages Large Language Models for intelligent insights.
About This Workflow
This n8n workflow provides a sophisticated solution for automatically gathering and understanding product information from the web. It begins by receiving a request for product data, then retrieves the relevant HTML content. Crucially, it extracts inline scripts where valuable product information is often hidden. This extracted script data is then fed into an advanced Large Language Model (LLM), specifically Google Gemini, for intelligent processing and analysis. Finally, the workflow structures the analyzed data into a clean JSON format and sends it back as a response, streamlining product research and market analysis.
Key Features
- Automated Web Scraping: Effortlessly fetch product HTML from any URL.
- Intelligent Script Analysis: Extract and process inline JavaScript for deeper data insights.
- AI-Powered Understanding: Utilize Google Gemini to analyze and interpret script data.
- Structured JSON Output: Receive product information in a clean, machine-readable JSON format.
- Real-time Response: Get immediate results via webhook for seamless integration.
How To Use
- Receive Product Request: Configure the
Receive Product Request(Webhook) node to accept incoming requests with a product identifier (e.g., via query parameters). - Fetch Product HTML: Set up the
Fetch Product HTML(HTTP Request) node to make a GET request to the product URL obtained from the webhook. - Extract Inline Scripts: Use the
Extract Inline Scripts(Code) node to parse the HTML response and extract all inline<script>tags. - Process Script with LLM: Configure the
Process Script with LLMnode to pass the extracted script content to theAnalyze Script with Google Gemininode. - Analyze Script with Google Gemini: Set up the
Analyze Script with Google Gemininode with your desired prompts and configurations to analyze the script data. Specify output parameters for structured results. - Format Product Data to JSON: Use the
Format Product Data to JSON(Output Parser Structured) node to define the desired JSON schema for your extracted product data. - Send JSON Response to Client: Connect the output of the
Format Product Data to JSONnode to theSend JSON Response to Client(Respond to Webhook) node to return the structured JSON data to the original requestor.
Apps Used
Workflow JSON
{
"id": "e72a1f86-af34-489c-ae38-62c7ea3e7555",
"name": "Intelligent Product Data Extraction & Analysis",
"nodes": 17,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: e72a1f86-af34...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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