Google Trends does have an API in 2026, but it remains an early-access alpha with limited availability—not a generally open endpoint. If you need repeatable Trends data, first check whether you can apply for the alpha; otherwise, choose the website, public BigQuery datasets, or Google Ads Keyword Planner according to the data you actually need.
Does Google Trends have an API in 2026?
Yes. Google announced a Google Trends API alpha on July 24, 2025. Its current documentation still describes early access and invites applications from testers, so an API exists, but general availability is not documented. Google said at launch, “The API will be available only to a very limited number of testers.” Google’s 2025 announcement and its current API documentation are the relevant status pages. Do not assume that applying means immediate access.
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Google describes the alpha as providing a rolling five-year window, geographic breakdowns, multiple time aggregations, and data scaled consistently across requests. The API may suit a developer who needs programmatic Trends data, but only if Google grants access. For everyone else, the alternatives below solve different jobs rather than reproducing the alpha exactly.
Which alternative fits your task?
| Option | Best for | What it provides | Main limitation |
|---|---|---|---|
| Google Trends website | Manual exploration and visual comparison | Interactive Trends exploration without building a data pipeline | Each request is rescaled from 0 to 100, so values from separately requested series are not directly comparable as absolute search counts. Current documentation says the UI supports comparisons of eight terms. |
| Google Trends API alpha | Programmatic access, if accepted as a tester | Five-year rolling history, daily, weekly, monthly, and yearly aggregation, geographic breakdowns, and consistently scaled data, as described by Google | Access is limited; it is not documented as generally available. |
| Google Trends public BigQuery datasets | SQL analysis of published popular and rising queries | Top 25 and Top 25 Rising queries, with US and international coverage | These are bounded published datasets, not an unrestricted Trends endpoint or arbitrary-term history lookup. |
| Google Ads Keyword Planner and API | Advertising and campaign keyword planning | Keyword ideas, historical search metrics, competition and bid metrics, and forecasts | Campaign-planning metrics are not equivalent to normalized Google Trends interest values. |
| Third-party keyword or trend software | Packaged research, monitoring, or broader keyword workflows | Capabilities depend on the provider | Check the source of the data, geography, history, refresh schedule, export or API behavior, and terms; capabilities vary. |
Use the Trends website for occasional exploration
For a one-off question—such as whether interest in a topic rises seasonally or differs by region—the website is the simplest route. Set the search term or topic, geography, time range, and category, then inspect the chart and related results. Current Google documentation says the interface allows comparison of eight terms; the July 2025 announcement stated five, so the current documentation is the better guide to the present UI limit.
#1 Best Overall
Record the exact query, geography, time range, category, and comparison terms when you save or share a result. Trends values are indexed and normalized for the request, not raw counts of searches. Because each request is rescaled to a 0–100 range, two charts made with different terms or settings should not be treated as though their numbers share one absolute scale.
Apply for the API alpha if automation is essential
If a workflow needs scheduled retrieval or repeatable programmatic analysis of Trends data, review Google’s API documentation and its access process. Google describes a rolling five-year window: “The Google Trends API provides access to a rolling window of the last 5 years of data.” The documentation also describes daily, weekly, monthly, and yearly aggregation, geographic breakdowns, and consistent scaling.
Rank #2
Those capabilities make the alpha relevant to automation, but they do not make it an open replacement for the website. Treat acceptance as uncertain and avoid building a production dependency until access, terms, and the behavior you need are confirmed for your account.
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Use BigQuery only when its published-query scope fits
Google’s public Trends datasets are useful when the question is about popular or rising searches already published by Google—not when you need to look up the full history of any arbitrary keyword. Google says, “You can access anonymized, indexed, normalized, and aggregated Google Trends data with BigQuery.” The datasets cover Top 25 overall and Top 25 Rising queries over the past 30 days.
Rank #3
Coverage and time windows
- United States: Coverage includes 210 Designated Market Areas (DMAs), with daily data over a rolling five years and hourly data over a rolling year.
- International: Daily five-year coverage includes approximately 50 additional countries.
- Query scope: The published data is limited to Top 25 and Top 25 Rising queries; it is not a complete feed of every search or a general keyword-history lookup.
Google states that BigQuery’s free tier includes up to 1 TB per month of query processing and 10 GB per month of storage; usage above those thresholds is billed at regular BigQuery rates. Review the current Google Trends Help information about the datasets and BigQuery pricing and account requirements before depending on a workflow, since costs and product details can change.
Choose Keyword Planner for campaign metrics, not Trends scores
If your real question is which terms to consider for an advertising campaign, how keyword demand is represented in campaign planning, or what bid and forecast metrics are available, Google Ads Keyword Planner is the more appropriate tool. The Google Ads API keyword-planning documentation describes keyword suggestions, historical search metrics, competition, bid metrics, and forecasts.
These figures serve an advertising-planning purpose. They are not a drop-in replacement for Google Trends’ normalized interest series, so use Keyword Planner when campaign planning is the goal—not when you specifically need Trends-style relative interest over time or by geography.
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Commercial keyword and trend products may combine research, monitoring, and exports, but their underlying data and coverage depend on the provider. Before choosing one, verify the exact data source, supported countries and regions, historical depth, update frequency, export or API access, and applicable terms. A tool that reports keyword metrics should not be assumed to reproduce Google Trends data unless its documentation clearly explains the source and method.
Quick Recap
A practical way to choose
- For a visual, occasional check: Start with the Trends website. Save the query, region, period, and category with your notes, and compare results only with the scaling limits in mind.
- For automated Trends retrieval: Check the API alpha’s current eligibility and access process. Plan for the possibility that access will not be granted.
- For SQL exploration of published rising or popular searches: Use the BigQuery datasets only if their Top 25 scope and geographic and time coverage match your question.
- For advertising keyword ideas, bids, competition, or forecasts: Use Keyword Planner and interpret the results as campaign-planning data, not Trends indices.
- For a packaged monitoring workflow: Assess a provider’s documented data source and coverage before relying on it.
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