Overview
This workflow automates the process of tracking and analyzing regional sentiment from social media, specifically focusing on weather-related posts from Yelp for Los Angeles. Leveraging Bright Data for web scraping and OpenAI for natural language processing, it streamlines data collection, sentiment analysis, and campaign planning.
Key Features
- Manual Trigger: Initiate the workflow on demand for targeted analysis.
- Data Collection: Scrapes weather-related posts from Yelp using MCP Client integration.
- AI-Powered Analysis: Utilizes OpenAI's language model to interpret and summarize sentiment data.
- Campaign Planning: Employs an AI agent to tailor marketing campaigns based on sentiment insights.
- Task Management Integration: Automatically creates Trello cards for actionable weather campaigns.
- Data Parsing: Converts scraped data into structured JSON for further processing.
Benefits
- Time Savings: Automates repetitive data gathering and analysis tasks.
- Actionable Insights: Delivers real-time sentiment insights to inform marketing strategies.
- Seamless Integration: Connects scraping, AI analysis, and project management tools in one flow.
- Improved Campaign Targeting: Enables data-driven, region-specific marketing initiatives.
Use Cases
- Regional marketing teams seeking to adapt campaigns based on local sentiment.
- Social media managers monitoring public perception of weather events.
- Agencies automating sentiment analysis and campaign planning for clients.
