Process Details (and where to find the download URI):

1. Create Export Job:

   • You'll send a POST request to the /api/v2/flows/datatables/{datatableId}/export/jobs endpoint. The datatableId is a placeholder for the actual ID of the datatable you want to export.
   • Include your API token in the Authorization header of the request (e.g., Authorization: Bearer YOUR_TOKEN).
   • The API will respond with a JSON object containing information about the newly created export job, including a unique id for the job.

2. Check Job Status:

   • Use the job id from the previous step.
   • Send GET requests to the /api/v2/flows/datatables/{datatableId}/export/jobs/{exportJobId} endpoint. Replace {datatableId} and {exportJobId} with the actual values.
   • Again, include your API token in the Authorization header.
   • The API response will be a JSON object containing the current status of the export job. The key property to monitor is status.
   • Keep checking the status periodically (e.g., every few seconds) until the status is either "Succeeded" or "Failed".

3. Download the File (using the downloadURI property):

   • Crucially, when the job status is "Succeeded", the API response will include a property called downloadURI. This property contains the URL you need to use to download the exported CSV file.
   • Use an HTTP client (like the requests library in Python, or even your web browser) to make a GET request to the downloadURI. You must still include your API token in the Authorization header of this request as well.
   • The response to this GET request will be the actual CSV file data. You can then save this data to a file on your system.

Example of a Successful Job Status Response (Illustrative):

{
  "id": "your-export-job-id",
  "name": "ExportJob",
  "status": "Succeeded",
  "downloadURI": "https://api.mypurecloud.com/api/v2/downloads/some-unique-download-id?...",
  "dateCreated": "2023-10-27T10:00:00Z",
  "dateCompleted": "2023-10-27T10:01:00Z",
  "countRecordsProcessed": 12345
}

Key Considerations:

• API Rate Limits: Be mindful of Genesys Cloud API rate limits. Introduce delays (e.g., using time.sleep() in Python) between status checks to avoid exceeding these limits.
• Permissions: Double-check that your OAuth client and user account have the necessary permissions.
• Region Specific URL: The examples use "https://api.mypurecloud.com". Remember to replace this with the correct API endpoint for your Genesys Cloud region.

This comprehensive guide should enable you to successfully export and download your Genesys Cloud datatables using the API and Python.