Overview
This workflow automates the process of tracking brand mentions on Medium blogs and performing sentiment analysis using OpenAI and Bright Data. It streamlines data collection, analysis, and reporting for marketing and analytics teams.
Key Features
- Automated Scraping: Uses Bright Data to extract relevant blog content mentioning your brand.
- AI-Powered Sentiment Analysis: Leverages OpenAI's language models to assess the sentiment of each mention.
- Centralized Data Storage: Results are automatically saved to Google Sheets for easy access and further analysis.
- Customizable Triggers: Initiate the workflow manually or adapt for scheduled runs.
- Structured Output Parsing: Ensures clean, actionable data with output parsers and reasoning engines.
Benefits
- Saves Time: Eliminates manual searching and analysis of brand mentions.
- Improves Accuracy: AI-driven sentiment analysis provides consistent, unbiased insights.
- Enhances Reporting: Centralized, structured data supports better decision-making and trend tracking.
- Seamless Integration: Connects scraping, AI, and data storage tools in a unified workflow.
Use Cases
- Brand Monitoring: Track and analyze public perception of your brand on Medium.
- Marketing Analytics: Measure campaign impact and audience sentiment.
- Competitive Analysis: Monitor competitor mentions and sentiment trends.
