Retrieving Auth0 User Roles in Bulk While Respecting Rate Limits
This article explains a way to mitigate issues with retrieving user roles in bulk for a large number of Auth0 users leading to rate limit violations when using the dedicated API endpoint for roles on an individual basis. This guide outlines the steps to implement a solution for bulk retrieval by dynamically managing the call rate or by leveraging the built-in rate limit handling in the official Auth0 Software Development Kits (SDKs).
- Auth0 Management API (v2)
- User Management
A direct bulk API call for retrieving user roles is unavailable.
The recommended approach is to implement a solution that sequentially manages API calls and enforces a safe rate limit. The most efficient method is to use one of the official Auth0 Management API SDKs, which include built-in rate limit and retry logic.
If an official SDK is unavailable for the language or environment, a custom automation script with dynamic rate limiting is the alternative.
The overall process involves two main steps:
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Exporting user identifiers and data
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Programmatically calling the roles API
Step 1: Export User Identifiers and Data
The unique user identifier (user_id) is required for each user before calling the roles API. The most efficient way to obtain these identifiers in bulk is by using the Auth0 Dashboard export feature.
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Navigate to the Auth0 Dashboard.
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Choose User Management > Users.
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Select the Export option.
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Select the desired format, for example, CSV or JSON.
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Ensure the necessary fields for export are selected, at a minimum:
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user_id
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email (or another identifier, if needed)
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This export provides a local file containing all the necessary user identifiers to proceed with the automation.
Step 2: Programmatically Calling the Roles API
With the list of user_ids, write a script to iterate through the list and call the roles API.
The API Endpoint to Call is:
GET https://YOUR_AUTH0_DOMAIN/api/v2/users/{user_id}/roles
Method Recommendation
- Using an Official SDK (Recommended): Use a supported SDK (e.g., Node.js ≥ v2.9.0, Python ≥ v4.6.0, Java ≥ v1.34.0, .NET ≥ v7.9.0, PHP ≥ v8.0.0, Go ≥ v1.18.0). These SDKs are configured to automatically inspect rate limit headers and pause, or retry calls when necessary, simplifying the script. Check the SDK documentation for specific retry configuration options (e.g., Node.js RetryConfiguration).
- Using a Custom Script (Alternative): If an official SDK cannot be used, implement a custom script (in a suitable language like Node.js or Python) that manually performs dynamic rate limiting as detailed below.
Custom Script Implementation Requirements (Only if NOT using an official SDK with built-in retry)
Key Implementation Requirements for the Custom Script:
- Authentication: The script must first obtain a Management API Access Token with the necessary scope, at least read:user_roles.
- Iteration: Loop through the list of user_ids extracted in Step 1.
- Dynamic Rate Limiting (Crucial): Inspect the Rate Limit Response Headers returned by the Auth0 API on every successful call. This allows the script to precisely manage its call rate and maximize efficiency without hitting limits.
The following headers require inspection:
| Header Name | Description | Action to Take |
| x-ratelimit-limit | The maximum number of requests available in the current time window | Use for general visibility of the limit |
| x-ratelimit-remaining | Number of remaining requests available until the bucket is refilled | If this value nears 0, the script must pause |
| x-ratelimit-reset | UNIX timestamp (in seconds) of the expected time when additional requests will be added to the bucket | Use this value to calculate the exact duration of the pause |
Script Logic for Dynamic Rate Limiting (Custom Script Only)
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After each successful API call (HTTP 200), check the value of the x-ratelimit-remaining header.
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If x-ratelimit-remaining is below a safe threshold (for example, 5 requests), read the x-ratelimit-reset timestamp.
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Calculate the required pause duration: Pause Time (seconds) = x-ratelimit-reset − current_unix_timestamp + 1. (The addition of 1 second adds a small buffer) .
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The script must then pause, or sleep for the calculated duration before making the next API call.
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If the script receives an HTTP 429 error (Too Many Requests), the response typically includes a Retry-After header. The script should immediately pause for the time specified in that header before attempting to retry the failed request.
Example Pseudo-Code Logic (Custom Script Only):
FOR EACH user IN exported_user_list:
TRY:
API_RESPONSE = CALL API (GET /v2/users/{user.user_id}/roles)
SAVE results (user.user_id, roles)
// Dynamic Pause Logic based on Headers
remaining = API_RESPONSE.HEADER['x-ratelimit-remaining']
IF remaining < 5: // Check against a predefined safe threshold (e.g., 5)
reset_time_unix = API_RESPONSE.HEADER['x-ratelimit-reset']
current_time_unix = GET_CURRENT_UNIX_TIMESTAMP()
// Calculate the exact time to wait
pause_duration_seconds = reset_time_unix - current_time_unix + 1
LOG "Rate limit nearing. Pausing for " + pause_duration_seconds + " seconds."
WAIT_FOR (pause_duration_seconds * 1000 milliseconds)
CATCH HTTP 429 Error:
retry_time = ERROR_RESPONSE.HEADER['Retry-After']
LOG "Rate limit hit. Pausing for " + retry_time + " seconds."
WAIT_FOR (retry_time * 1000 milliseconds)
RETRY current API call for user.user_id
// Add a very small, minimal delay to prevent bursts even when 'remaining' is high
WAIT_FOR (50 milliseconds)