How to implement Rate Limiting in Python - Quickstart

Learn how to configure Rate Limiting using our Python SDK. Full code examples and parameter reference included.

To begin integrating with the Rate Limiting module, ensure you have the latest version of our SDK installed. The following example demonstrates a basic authenticated request using Python.

import client

api = client.API(key='sk_live_...')
response = api.data.get(
    limit=10,
    expand=['meta']
)
print(response.json())

Related Resources

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Parameter Details

When making requests to this endpoint, you can include the following optional parameters to filter the response.

• limit (int) - A limit on the number of objects to be returned. Limit can range between 1 and 100.
• starting_after (string) - A cursor for use in pagination.
• expand (array) - Specifies which fields in the response should be expanded.