dataify-task-status

Check the execution status of a Dataify scraper task by task ID. Use when the user provides a Dataify Builder task ID, asks whether an asynchronous scraping task is still processing, or needs to determine whether a task succeeded or failed.

Query the documented Dataify /task_status endpoint for one task. The API key is read only from DATAIFY_API_TOKEN and is never included in output.

Workflow

1. Require a task ID. Reuse an ID returned earlier in the conversation only when it is unambiguous.
2. Ensure DATAIFY_API_TOKEN is set. Do not ask the user to paste a key into chat or pass it on the command line.
3. Use scripts/get_task_status.py --task-id TASK_ID to call the endpoint. Use --dry-run first only when a request preview is needed; it redacts the API key.
4. Return the response body without exposing the key. Interpret documented statuses as follows:
   • 处理中: the task has not completed.
   • 成功: the status script immediately sends GET /download with the same task ID and type=json, then prints the JSON result.
   • 失败: the task finished with an error.
5. For a failed or unauthorized request, return the provider response and recommend checking the task ID and account access. Do not retry paid tasks automatically.

Commands

bash

python3 -X utf8 scripts/get_task_status.py --task-id "TASK_ID"

To verify parameters without making a request:

bash

python3 scripts/get_task_status.py --task-id "TASK_ID" --dry-run

Reference

Read references/task_status_api.md for endpoint parameters, response fields, and HTTP error behavior.