Async polling guide
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Async SERP workflows are often the right fit for recurring monitoring, bulk collections, and production pipelines. This tutorial shows how to separate submission, polling, storage, and downstream processing so the integration scales more cleanly than a purely sync approach.
Start by sending the search request without forcing sync mode so the API can return a job identifier for background processing.
GET /search?q=best+running+shoes&gl=us&hl=en&device=desktopKeep the query, locale, device, submission time, and jobId together so the polling layer can retrieve and interpret the result later.
Check job status on a reasonable cadence and treat queued or running states as normal intermediate lifecycle states rather than as failures.
Once the job completes, store the result payload and any timing metadata. If it fails, capture the error code and route it into the right retry or operator path.
After completion, move the structured SERP data into rank tracking, competitor analysis, or reporting workflows instead of keeping it trapped inside the polling service.
Open the related NovaDataHub page for deeper documentation, comparisons, or implementation guidance.
Open the related NovaDataHub page for deeper documentation, comparisons, or implementation guidance.
Open the related NovaDataHub page for deeper documentation, comparisons, or implementation guidance.
Open the related NovaDataHub page for deeper documentation, comparisons, or implementation guidance.