Airtable Automate

Target Audience

• Developers: Those looking to automate data handling between Airtable and Redis.
• Business Analysts: Users who need to manage API call limits efficiently while interacting with their datasets.
• Product Managers: Individuals interested in tracking usage statistics and ensuring service limits are not exceeded.
• Data Engineers: Professionals who require an efficient mechanism to manage retrieval and storage of data from external APIs.

Problem Solved

This workflow addresses the challenge of managing API call limits effectively. It prevents users from exceeding their predefined limits (10 calls per minute and 60 calls per hour) by integrating with Redis to track usage and Airtable to manage data. If a user exceeds their limit, they receive a notification message stating, 'You exceeded your limit'.

Workflow Steps

1. Webhook Trigger: The workflow is initiated by a webhook that captures incoming requests and extracts the API key from the headers.
2. Key Generation: The API key is processed to include the current hour and minute, creating a unique identifier for tracking.
3. Redis Increments: Two Redis nodes increment counters for the API key: one for tracking calls per minute and another for calls per hour.
4. Condition Checks: Two conditional checks are performed:
   • If the calls per minute exceed 10, a message is generated stating, 'You exceeded your limit'.
   • If the calls per hour exceed 60, the workflow also generates a similar warning message.
5. Data Retrieval: If limits are not exceeded, data is pulled from Airtable (specifically from the Pokemon table).
6. Response Handling: The workflow returns either the retrieved data or the limit-exceeded message based on the conditions checked.