# Best Practices for Exporting Reports

This guide will help you optimize your `ReportExport` integration. Key topics include exporting reports efficiently, refreshing data when needed, and avoiding unnecessary API usage or [rate-limit](/agency-v3/readme/rate-limits.md) issues.

### Streamline your report export

1. Send a request to `/ReportExport` with your desired parameters.
2. Track the status of the job in the following way after submitting your export request:
   * Poll (i.e., check periodically) the `Jobs` API by using the URIs returned in the `/ReportExport` response to the call: `GET /Jobs/{Id}`.
3. Once the job reaches a `Completed` state, download the file by calling: `/Jobs/{Id}/Download`.

   All completed job results are cached indefinitely, meaning your data will remain available for download at any time in the future.

### Managing report data & replays

If you need refreshed or updated results for a previously completed job, use: `/Jobs/{Id}/Replay` endpoint. To maintain optimal performance and stay within your API rate limits, keep these best practices in mind:

* **When to replay**: Only trigger a replay if the original job `FAILED` or `CANCELLED`, or if you know the underlying data has been updated.
* **Timing is key**: Avoid replaying a job immediately after the initial request. For the most up-to-date information, request exports later in the day or the following day once datasets have fully synchronized.
* **Avoid redundancy**: Don't call `/ReportExport` again with the same parameters to refresh data; it won't change the results and will simply count against your quota.
* **Optimize range**: Use smaller date ranges whenever possible to improve download performance and reduce export size.
* **Limit frequency**: Avoid integrations that repeatedly trigger replays or re-run the same report multiple times per day.


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