Overview
This workflow automates the monitoring of Twitter for specific keywords related to public figures and archives relevant tweets into Airtable. Scheduled to run daily at 8 AM, it ensures timely data collection and organization.
Key Features
- Automated Twitter Monitoring: Uses the Twitter node to search for tweets containing targeted keywords.
- Data Processing: Filters and formats tweet data, ensuring only new and relevant tweets are processed.
- Airtable Integration: Retrieves existing records from Airtable, merges new tweets, and appends only unique entries to prevent duplicates.
- Scheduled Execution: The workflow is triggered automatically every morning, requiring no manual intervention.
Benefits
- Time Savings: Eliminates manual searching and data entry, freeing up valuable staff resources.
- Data Accuracy: Ensures only new, relevant tweets are archived, maintaining a clean and up-to-date database.
- Centralized Information: Consolidates social media insights in Airtable for easy access and analysis.
Use Cases
- PR & Communications: Track public sentiment and mentions of key figures for reputation management.
- Research & Analytics: Build datasets for trend analysis or media monitoring.
- Content Management: Curate social media content for newsletters or reports.
Integrations
- Twitter API: For real-time keyword monitoring.
- Airtable API: For structured data storage and retrieval.
