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Web Scraping & Research

Extract Product Hunt Data with Bright Data and Gemini

When you run it, a Gemini agent uses Bright Data MCP tools to extract and search Product Hunt data and saves results to Google Sheets.

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What it does

## Note Deals with the ProductHunt data extraction by utilizing the Bright Data MCP and Google Gemini LLM. Please make sure to set the input fields node and the agent operation node to fulfill your needs

The steps

  1. When clicking ‘Execute workflow’
  2. List all tools for Bright Data
  3. Set the Input Fields
  4. AI Agent
  5. Google Gemini Chat Model
  6. MCP Client for Google Search
  7. MCP Client for Markdown Data Extract
  8. Set the Agent Operation
  9. Create a binary data for Structured Data Extract
  10. Write the structured content to disk
  11. Initiate a Webhook Notification for Structured Data
  12. Structured Data Extractor
  13. Structured Output Parser
  14. Google Gemini Chat Model Structured Data Extract

16 steps in total.

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