Automated Data Mining & Sentiment Analysis with Bright Data and Google Gemini

Overview

This workflow automates the extraction and analysis of structured data from web sources using Bright Data and Google Gemini AI. It is triggered manually and orchestrates a series of HTTP requests, AI-driven data extraction, and sentiment analysis to deliver actionable insights.

Key Features

• Integrates Bright Data for robust web scraping and data mining.
• Utilizes Google Gemini AI models for advanced data extraction and sentiment analysis.
• Sends webhook notifications to initiate and monitor extraction and analysis processes.
• Extracts topics and trends by location and category, providing structured, actionable outputs.

Benefits

• Streamlines the process of gathering and analyzing large volumes of web data.
• Reduces manual effort and accelerates insight generation with AI-powered automation.
• Delivers structured, ready-to-use data for downstream analytics or business intelligence.

Use Cases

• Market research and competitive analysis.
• Social sentiment tracking for brands or products.
• Trend identification by location and category for targeted marketing or content strategies.

Integrations & Automation

• Bright Data for web requests and data mining.
• Google Gemini for AI-driven extraction and sentiment analysis.
• Webhooks for real-time process initiation and monitoring.

This workflow maximizes efficiency and insight generation for data-driven teams.