AI-Powered Product Hunt Data Extraction & Search
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Leverage AI to automate the extraction and searching of valuable Product Hunt data. This workflow utilizes Bright Data and Google Gemini to gather insights and discover top products.
About This Workflow
This powerful n8n workflow empowers you to harness the intelligence of AI for detailed Product Hunt data analysis. By integrating Bright Data's robust web scraping capabilities with the advanced language processing of Google Gemini, you can automate the discovery and extraction of trending products, specific categories, and competitive insights. The workflow is designed to be highly configurable, allowing you to pinpoint the exact data you need, perform targeted searches, and receive structured outputs for further analysis. Unlock a new level of market intelligence and stay ahead of the curve with this intelligent automation solution.
Key Features
- AI-Driven Data Extraction: Utilizes AI agents and large language models to understand and extract relevant data from Product Hunt.
- Intelligent Web Scraping: Employs Bright Data's advanced scraping tools for efficient and comprehensive data collection.
- Targeted Search Capabilities: Allows for specific keyword searches to identify top products in desired categories.
- Structured Data Output: Presents extracted data in a clean, human-readable, and machine-parsable format.
- Customizable Workflow: Easily configure search parameters, categories, and output destinations.
How To Use
- Trigger Workflow: Initiate the workflow manually by clicking the 'Execute workflow' button.
- Configure Bright Data: Ensure your Bright Data credentials are set up correctly in the 'List all tools for Bright Data' node.
- Set Input Parameters: Customize the 'Set the Input Fields' node with your desired
base_url,category,searchquery,engine, andwebhook_url. - Define AI Operation: In the 'Set the Agent Operation' node, specify the exact data extraction task for the AI agent.
- Execute AI Agent: The 'AI Agent' node will process the instructions and leverage the connected AI model (Google Gemini) and tools (Bright Data's search and scraping).
- Process Output: The workflow automatically converts the structured data into a binary format for storage and notification.
- Store Data: The 'Write the structured content to disk' node saves the extracted data to a local JSON file (e.g.,
d:\ProductData.json). - Send Notification: The 'Initiate a Webhook Notification for Structured Data' node sends the extracted product information to your specified webhook URL.
Apps Used
Workflow JSON
{
"id": "e7176581-73e9-40c5-8083-69f29aa1dfc0",
"name": "AI-Powered Product Hunt Data Extraction & Search",
"nodes": 21,
"category": "Marketing",
"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: e7176581-73e9...
About the Author
SaaS_Connector
Integration Guru
Connecting CRM, Notion, and Slack to automate your life.
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