How to Build a Reliable Viber Audience Pipeline Using Async Batch Processing

Maintaining a clean contact list is the foundation of any effective messaging campaign. When your audience data becomes stale, you risk wasting resources on numbers that no longer have a Viber account. To build a robust pipeline, you need to transition from manual, static list management to an automated, platform-aware verification workflow.

This tutorial walks through implementing an asynchronous batch processing pipeline using the Viber Bulk Number Checker API to validate your contact database.

The Asynchronous Workflow Pattern

Because processing large datasets takes time, the Viber Bulk Number Checker API uses an asynchronous task lifecycle. Instead of waiting for a response in a single HTTP request, you submit your file, poll for its status, and retrieve the results once they are ready.

1. Preparing Your Data

Before calling the API, ensure your data is normalized. The service expects a text file with one phone number per line. Using the E.164 format (e.g., [phone]) is recommended to ensure the highest match accuracy.

2. Submitting the Task

To initiate verification, send a POST request to the /v1/tasks endpoint. You must include your X-API-Key in the header and provide your file along with the task_type="viber" parameter.

# Example submission
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, the API returns a task_id. Store this identifier; it is your key to tracking the progress of your batch.

3. Polling for Completion

Do not attempt to retrieve results immediately. Instead, implement a polling loop that queries the /v1/gettasks endpoint using your task_id.

• Note on Rate Limits: The API has rate limits that restrict requests per minute and concurrency is also limited. Please refer to the current API documentation for applicable limits and implement a non-aggressive polling interval.

Keep polling until the status field in the response transitions to exported. Do not treat pending or processing states as finished jobs.

4. Retrieving and Segmenting Results

Once the status is exported, the response will contain a result_url. Download the file from this URL. The resulting dataset will include the original phone number and an activated field, which indicates whether the number was detected as active on the platform.

Data Quality Contracts

Treat the exported file as a "quality contract" for your downstream systems. By enforcing a validation boundary at the ingestion layer, you ensure that only verified numbers reach your campaign engine.

• Failure Artifacts: Always inspect the failure count in the task response. If the failure rate is high, review your input normalization logic.
• Persistence: Store the task_id and the associated metadata (like created_at and actual_amount) in your internal database. This creates an audit trail for every batch processed.

Conclusion

By adopting an asynchronous polling pattern, you can integrate Viber registration checks into your automated pipelines without blocking your application's main thread. This approach ensures your audience remains relevant and your messaging campaigns remain efficient. For further details on endpoint specifications and error handling, consult the official Viber Bulk Number Checker documentation.

This article was drafted with AI assistance and reviewed before publishing.