This n8n workflow automates the process of extracting, analyzing, and sharing product data from Product Hunt using AI-powered tools and web scraping. Designed for product researchers, marketers, or developers, it integrates various services to streamline data collection and insight generation.
The workflow begins with a manual trigger, allowing user initiation. It first lists available tools from Bright Data, a data collection service, and sets specific input parameters, including a target URL (Product Hunt), category, search query, search engine (Google), and webhook URL for notifications.
An AI agent, powered by Google Gemini, performs a data extraction task based on the specified ‘agent operation’—specifically, extracting product data from Product Hunt. The data is then processed by a language model to structure the output, which includes links and descriptions.
Subsequently, the workflow performs a web search using MCP Client for Google Search to gather additional information, and scrapes detailed product data from Product Hunt in Markdown format. The results are further analyzed by another Google Gemini model to generate structured insights.
All structured data is then saved into Google Sheets for easy access and further analysis, enabling a seamless flow from data extraction to storage. The workflow also consolidates output details into JSON format and creates binary files for data storage or transfer. Finally, it sends a webhook notification with the collected data for real-time updates.
This automation is ideal for continuous market research, competitive analysis, or content curation on platforms like Product Hunt, leveraging AI to extract and process large amounts of data efficiently.
Reviews
There are no reviews yet.