Google Trends API (Alpha) Launches: What You Need to Know
▼ Summary
– Google has launched an alpha version of its Trends API, providing explore-page data directly into applications, announced at Google Search Central Live, Deep Dive APAC 2025.
– The API offers consistently scaled search interest figures, which are more stable and predictable than current website numbers, though it excludes Trending Now data.
– Key features include a five-year rolling window for data, allowing comparison of search spikes over time, with data available up to 48 hours ago to preserve temporal patterns.
– Users can aggregate data flexibly (weekly, monthly, or annually) and access regional breakdowns, enabling detailed or broad analysis of search interest by location.
– The alpha version is now open for testers, with sample API requests and responses provided, including Python examples and scaled search interest values.
Google has introduced an alpha version of its Trends API, giving developers direct access to explore-page data for the first time. Announced at Google Search Central Live, this tool provides standardized search interest metrics that remain stable across queries, a significant improvement over the fluctuating numbers on the public website.
The API delivers consistently scaled search interest values, making it easier to compare trends over time without worrying about shifting baselines. While it doesn’t reveal absolute search volumes, sample responses include indicative figures alongside scaled percentages for context.
Currently in testing, the API is open to early adopters who can provide feedback throughout 2025. However, it won’t include Trending Now data, focusing instead on historical search patterns.
Key Features of the Google Trends API
1. Reliable Scaling for Accurate Comparisons Unlike the web interface, where results vary based on query combinations, the API ensures uniform scaling. This stability allows for more dependable trend analysis, whether tracking brand interest or monitoring industry shifts.
2. Five Years of Historical Context The tool offers a rolling five-year data window, updated with a 48-hour delay to maintain natural search patterns. This extended timeframe helps identify recurring trends, seasonal spikes, and year-over-year changes, essential for marketers and researchers.
3. Customizable Aggregations and Geographic Insights Users can slice data by week, month, or year, tailoring reports to specific needs. The API also supports regional breakdowns, revealing search interest at country, state, or even city levels without additional processing.
How It Works: A Quick Look
“`python print(time_series) { “points”: [ { “time_range”: { “start_time”: “2024-01-01”, “end_time”: “2024-01-07”, }, “search_interest”: 4400.0, “scaledsearchinterest”: 62, }, { “time_range”: { “start_time”: “2024-01-08”, “end_time”: “2024-01-14”, }, “search_interest”: 7100.0, “scaledsearchinterest”: 100, } ] } “`
Developers and analysts can now apply for early access to experiment with the API’s capabilities. This release marks a major step toward more transparent, actionable search trend data, directly integrated into custom tools and dashboards.
(Source: Search Engine Journal)
