Who is this workflow for? Automate the extraction and structuring of product data from Product Hunt using an n8n workflow enhanced with Google Gemini. This workflow dynamically handles incoming requests, processes HTML content, leverages AI for data analysis, and delivers structured JSON responses for seamless integration into your applications or reports..

What does this workflow do?

1. Webhook Listener

  • Node: Receive Product Request
  • Function: Captures incoming HTTP requests containing the product name.
  • Details: Extracts the product parameter from the query string (e.g., <custom_webhook_url>/?product=epigram).

2. Fetch Product HTML

  • Node: Fetch Product HTML
  • Function: Sends an HTTP request to retrieve the HTML content of the specified Product Hunt page.
  • Details: Constructs the URL dynamically using the product name and fetches the corresponding page data.

3. Extract Inline Scripts

  • Node: Extract Inline Scripts
  • Function: Parses the fetched HTML to extract inline scripts within the <head> section.
  • Details: Filters out scripts with src attributes and ensures the presence of inline scripts for further processing.

4. Process Data with LLM

  • Node: Process Script with LLM
  • Function: Analyzes the extracted scripts using a language model to identify key product data.
  • Details: Utilizes AI to derive structured insights from the script content.

5. Refine Data with Google Gemini

  • Node: Analyze Script with Google Gemini
  • Function: Enhances the analysis of script data using Google Gemini AI.
  • Details: Ensures the extracted data is precise and enriched for accurate representation.

6. Format Product Data to JSON

  • Node: Format Product Data to JSON
  • Function: Structures the processed data into a clean JSON format.
  • Details: Adheres to a predefined schema to include all relevant fields in the output.

7. Send JSON Response to Client

  • Node: Send JSON Response to Client
  • Function: Returns the final structured JSON response to the client.
  • Details: Sends the response back via the initiating webhook (e.g., <custom_webhook_url>).

🤖 Why Use This Automation Workflow?

  • Automation: Eliminate manual data collection by automatically fetching and processing Product Hunt data.
  • Accuracy: Achieve over 95% precision in data extraction through a well-defined JSON schema and AI-based analysis.
  • Scalability: Handle multiple product requests efficiently with dynamic URL construction and processing.
  • Robustness: Adapt to changes in Product Hunt’s structure without relying on direct DOM selectors.
  • Integration: Easily connect with various tools like Google Sheets, Microsoft Excel, Gmail, and more for streamlined workflows.

👨‍💻 Who is This Workflow For?

This workflow is designed for developers, marketers, and data analysts who need to automate the collection and structuring of product information from Product Hunt. It is ideal for those looking to integrate Product Hunt data into analytics platforms, create detailed reports, or enhance research processes with reliable and structured data.

🎯 Use Cases

  1. Market Research: Automatically gather and analyze product data to identify trends and competitive insights on Product Hunt.
  2. Content Creation: Extract product details to generate comprehensive blog posts, reviews, or newsletters with up-to-date information.
  3. Data Integration: Seamlessly feed structured product data into databases, CRM systems, or business intelligence tools for enhanced decision-making.

TL;DR

This n8n workflow automates the extraction of detailed product data from Product Hunt by integrating webhook handling, HTML processing, and advanced AI analysis with Google Gemini. The result is a reliable, structured JSON output that can be seamlessly integrated into various applications, enhancing your data-driven projects with minimal effort.

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