Rate Limiting Control for API Requests Using Redis and Airtable

• Control API request limits for user accounts
• Prevent abuse of API services by enforcing rate limits
• Store user request data in a structured database
• Send notifications when users exceed their request limits

Webhook captures incoming API requests and extracts the API key Sets up user-specific keys in Redis for tracking requests Increments request counts in Redis for both per minute and per hour limits Checks conditions to determine if limits are exceeded Responds with appropriate messages based on request limits

1. 1
   Import the workflow template into your n8n instance
2. 2
   Configure Airtable credentials for data access
3. 3
   Set up Redis credentials for rate limiting
4. 4
   Deploy the webhook and test with sample requests
5. 5
   Monitor Redis for request counts and adjust limits as needed