Integrating bulk phone-number validation into a CRM pipeline requires more than just a simple request. When working with large datasets, handling the asynchronous nature of the Viber Bulk Number Checker is critical for maintaining a reliable data flow. This guide walks through the lifecycle of a task and how to manage the transition from submission to result retrieval.
The Asynchronous Workflow
The Viber Bulk Number Checker operates on a task-based model. Because processing large lists of phone numbers takes time, the API does not return results immediately. Instead, you submit a file, receive a task_id, and poll the service until the task reaches an exported status.
Step 1: Submitting Your Data
Start by preparing your input as a text file with one E.164-formatted phone number per line. Submit this file to the /v1/tasks endpoint. Ensure you include the task_type="viber" parameter to trigger the correct processing engine.
# Example of initiating a task
curl --location 'https://api.numberchecker.ai/v1/tasks' \
--header 'X-API-Key: YOUR_API_KEY' \
--form 'file=@"./input.txt"' \
--form 'task_type="viber"'
Upon a successful request, you will receive a response containing a task_id and an initial status of pending. Store this identifier securely; it is your key to tracking the job.
Step 2: Implementing the Polling Loop
To retrieve your results, you must monitor the task status via the /v1/gettasks endpoint. Do not assume a task is ready immediately after submission. Implement a loop that checks the status periodically.
- Pending/Processing: The system is currently validating your numbers. Continue polling.
-
Exported: The task is complete. The response will now contain a
result_urlpointing to your final data. -
Failed: The task encountered an error. Check the
failurecount in the response to understand the scope of the issue.
Step 3: Handling the Final Result
Once the status is exported, you can download the file from the provided result_url. This file contains the mapping between your input numbers and their Viber activation status. Always preserve the original column names when importing this data back into your CRM to ensure your downstream processes correctly interpret the data.
Best Practices for Integration
- Normalization: Always normalize your phone numbers to E.164 format before creating your input file to reduce the risk of processing errors.
-
Status Awareness: Never attempt to download a result file until the status explicitly returns as
exported. Attempting to access theresult_urlprematurely will lead to errors. -
Error Handling: Pay attention to HTTP status codes. A
503indicates temporary maintenance, while400or402may indicate issues with your input file or account balance. Always log these responses to debug your pipeline effectively.
For more details on integration specifications, refer to the official documentation.
This article was drafted with AI assistance and reviewed before publishing.
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