Local SERP API
Open the related NovaDataHub page for deeper documentation, comparisons, or implementation guidance.
SERP localization is where many ranking and research workflows become misleading. If country, language, city targeting, and device context are mixed carelessly, the data will look precise while representing the wrong search experience. This guide explains how to structure localized SERP collection more reliably.
Country targeting, interface language, and city-level context influence different parts of the search experience. Model them as separate pieces of request context rather than one generic locale string.
Desktop and mobile SERPs can differ meaningfully. If you are doing rank tracking or competitor analysis, store device alongside every result set instead of treating it as an optional note.
A reporting workflow is easier to trust when every keyword group has a clear market definition: country, language, target city or region, and device profile. This matters even more when clients or teams compare results over time.
Localized SERP data is only as useful as the context preserved beside it. Keep query, gl, hl, location hints, device, timestamp, and any other targeting inputs with the payload.
{
"query": "google serp api",
"gl": "us",
"hl": "en",
"location": "San Francisco, California, United States",
"device": "mobile"
}Do not compare rankings from different locale or device settings as if they were the same market. Many false SEO conclusions come from mismatched comparison sets rather than actual visibility changes.
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.