When running tasks with "Cloud Run," the task is split into multiple sub-tasks. Multiple sub-tasks will run in the cloud by multiple servers at the same time. Data scraped from the sub-tasks are transferred to us at the same time. That's why the data is out of order.
Knowing the working principle of could extraction, we can then solve it.
Disable task split - to run all tasks under one IP
Click the Task Settings button on the upper right side of the Octoparse interface
Go to Run Settings
Tick Disable task split
Click Save
After this option is selected, the task will not be split into sub-tasks. So the data will be in the same order as the local run. In case you still find the order different, you can try to set up some wait time for the Extract Data action.
Note: The solution will slow the scraping speed as the Cloud speed depends on how many sub-tasks are running at the time.