Google has simply unveiled an alpha model of its Traits API at Google Search Central Reside, Deep Dive APAC 2025. This new providing brings explore-page knowledge immediately into functions.
The API will present persistently scaled search curiosity figures. These figures align extra predictably than the present web site numbers.
Introduced by Daniel Waisberg and Hadas Jacobi, the Alpha can be opening up from at present, and they’re on the lookout for testers who will use the Alpha all through 2025.
The API is not going to embody Trending Now.
Picture from writer, July 2025Key Options
Persistently Scaled Search Curiosity
The standout function on this Alpha launch is constant scaling.
In contrast to the online interface, the place search curiosity values shift relying in your question combine, the API returns values that stay secure throughout requests.
These gained’t be full search volumes, however within the pattern response proven, we are able to see an indicative search quantity introduced alongside the scaled quantity for comparability within the Google Traits web site interface.
5-12 months Rolling Window
The API surfaces knowledge throughout a five-year rolling window.
Knowledge is out there as much as 48 hours in the past to protect temporal patterns, reminiscent of annual occasions or weekly cycles.
This longer context helps you distinction at present’s search spikes with these of earlier years. It’s ideally suited for recognizing traits tied to seasonal occasions and recurring information cycles.
Versatile Aggregations And Geographic Breakdown
You select how you can combination knowledge: weekly, month-to-month, or yearly.
This flexibility means that you can zoom in for fine-grained evaluation or step again for long-term traits.
Regional and sub-regional breakdowns are additionally uncovered by way of the API. You may pinpoint curiosity in international locations, states, and even cities with out further work.
Pattern API Request & Response
Hadas shared an instance request immediate utilizing Python, in addition to a pattern response.
The request:
Picture from writer, July 2025The response:
Picture from writer, July 2025print(time_series)
{
"factors": [
{
"time_range": {
"start_time": (2024-01-01),
"end_time": (2024-01-07),
},
"search_interest": 4400.0,
"scaled_search_interest": 62,
},
{
"time_range": {
"start_time": (2024-01-08),
"end_time": (2024-01-14),
},
"search_interest": 7100.0,
"scaled_search_interest": 100,
},
…
]
}Join now to get early entry to the Google Traits API alpha.
Extra Sources:
Featured Picture: Dan Taylor/SALT.company
