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An API rate limit is the maximum number of API calls you can make in a specific time interval. It is a mechanism implemented by API providers to control the usage of their APIs, preventing abuse and maintaining optimal performance.
Webflow API’s rate limit is 60 per minute. It’s associated with a Webflow authentication token required to make the call. When the rate limit is exceeded, further requests are rejected.
When an API call exceeds the rate limit, the HTTP response status is 429, commonly called "Too Many Requests." If you are making direct API calls in your automation, you can utilize this status to identify API throttling. However, if you are running an automation action, such as creating a Webflow CMS item, it becomes crucial to ascertain the underlying reason for the failure. Typically, the error response provides a clear indication of a throttling problem. But it’s important to note that various Cloud applications use distinct response messages to communicate this issue.
Webflow automation runs smoothly as long as the number of requests remains within the acceptable rate limit, which is set high enough to accommodate a regular workload. However, if you're working with frequent and rapid runs, your automation will encounter issues when it reaches the rate limit threshold. Once you identify the rate limit problem, it is crucial to wait at least 30 seconds before retrying the operation. It is recommended to incorporate this retry mechanism into your automation workflow to ensure seamless execution without manual intervention. By doing so, you can avoid losing the output of throttled runs.
Alternatively, you can leverage an automation platform like Byteline, which automatically handles rate limits for you. Byteline's action nodes gracefully manage throttling by automatically retrying operations after a minimally required waiting period.
Lastly, you can utilize Byteline's API Connector action node to call any API, which will automatically handle API throttling.
Below is the table showing the differences in handling the API throttling across various automation platforms.
Business-critical automation often involves multiple action nodes communicating with diverse Cloud applications. Dealing with API throttling for all these actions can quickly complicate your automation flows/zaps. Moreover, testing API throttling scenarios can be challenging, as it requires operating at a high throughput to encounter such limitations. Hence, the optimal solution is to employ an automation platform that can automatically manage API rate limits on your behalf.
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