When dealing with bulk data processing, the difference between a brittle script and a production-grade pipeline often comes down to how you manage asynchronous state. For developers integrating phone-number intelligence—such as checking WhatsApp account activity or business status—batch processing is the standard for handling large datasets efficiently.
However, these operations are inherently asynchronous. You cannot simply fire a request and expect an immediate result for thousands of entries. Instead, you must manage a lifecycle: Submit, Poll, Retrieve, and Archive.
1. Submitting the Batch Task
The process begins by uploading your dataset. The NumberChecker.AI API uses a multipart form-data approach to handle file uploads. Ensure your input file contains phone numbers in E.164 format, with one number per line.
To initiate a task, send a POST request to /v1/tasks with your API key in the X-API-Key header:
curl --location 'https://api.numberchecker.ai/v1/tasks' \
--header 'X-API-Key: YOUR_API_KEY' \
--form 'file=@"./numbers.txt"' \
--form 'task_type="ws_active"'
Upon success, you will receive a task_id. Store this identifier immediately; it is your primary key for tracking the task's progress through the state machine.
2. Implementing the Polling Loop
Once the task is submitted, it enters a pending state, eventually moving to processing. To avoid overwhelming the API, implement a non-aggressive polling interval. Use the /v1/gettasks endpoint to check the status of your task_id.
curl --location 'https://api.numberchecker.ai/v1/gettasks' \
--header 'X-API-Key: YOUR_API_KEY' \
--form 'task_id="d4g8o46p2jvh04o9uolg"'
3. Retrieving and Processing Results
Monitor the status field in the response. When the status transitions to exported, the API provides a result_url. This URL points to a compressed archive containing your enriched data, including:
-
whatsapp_days: The duration of account activity. -
whatsapp_business: A flag indicating if the number is linked to a business account. -
signature: Available account signature information.
Handling Lifecycle States
| Status | Meaning |
|---|---|
pending |
Task is queued and waiting. |
processing |
Data is currently being analyzed. |
exported |
Results are ready; use the result_url to download. |
failed |
Task could not be completed; charges are automatically refunded. |
4. Operational Best Practices
-
Idempotency and Tracking: Always log your
task_idalongside your internal database IDs. If a process crashes, you can resume by querying the status of the existingtask_idrather than re-uploading the file. -
Error Handling: Be prepared for
400errors (invalid file format or batch size) and402(insufficient balance). Implement logic to alert your team when these non-recoverable states occur. -
Cleanup: Since the
result_urlprovides a direct download, integrate a step in your pipeline to download, extract, and ingest the data into your system, then archive the local copy to maintain data integrity.
By treating the API interaction as a state-driven lifecycle, you ensure your data pipeline remains resilient, even when processing large-scale contact lists.
For more details on integrating these signals, check out the official documentation.
This article was drafted with AI assistance and reviewed before publishing.
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