Search Google Trends
The Search Google Trends block retrieves trend data from Google Trends for a specified search term.
Fetch Google Trends data for any search term
The Search Google Trends block retrieves trend data from Google Trends for a specified search term. You provide the term you want to look up along with parameters that control the scope of the query, including the language, geographic region, date range, and the type of data you want returned. The geographic scope can be set to worldwide by leaving the geo field empty, or narrowed to a specific country using a two-letter country code.
The data_type parameter determines the shape of the results. You can request a time series showing interest over time (TIMESERIES), geographic distribution maps (GEO_MAP or GEO_MAP_0), or discovery-oriented data like related topics and related queries (RELATED_TOPICS, RELATED_QUERIES). The date range accepts shorthand formats such as "now 1-H" or "today 5-y", as well as explicit date ranges in "yyyy-mm-dd yyyy-mm-dd" format. A timezone offset in minutes can also be specified to align results with a particular region.
The block returns a trends object containing the retrieved data, which can be stored in a variable for use in downstream workflow steps. It fits naturally into workflows that involve market research, content planning, SEO analysis, or any process that needs to incorporate real-time or historical search interest data.
What you can build
Real-world workflows powered by the Search Google Trends block.
Track Keyword Search Interest
Retrieve a time series of search interest for a keyword over a defined period to monitor how public attention to a topic changes over time.
Compare Regional Trend Data
Use the geo parameter to pull country-specific trend data and compare search interest across different markets for a product or topic.
Discover Related Search Queries
Set data_type to RELATED_QUERIES to surface queries that are trending alongside a target term, supporting keyword expansion for SEO workflows.
Identify Related Topics
Use the RELATED_TOPICS data type to find broader topic areas associated with a search term, useful for content strategy and audience research.
Monitor Real-Time Trend Spikes
Set the date range to "now 1-H" to capture very recent search activity and detect sudden spikes in interest around a brand or news event.
Automate Trend-Based Reporting
Store trend results in a destination variable and pass them to a downstream block that formats or summarizes the data into a scheduled report.
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Get Started FreeCommon questions about Search Google Trends
What parameters are required to use this block?
The required parameter is text, which is the search term you want to look up. Other fields like geo, hl, data_type, date, and ts have defaults or accept empty values, but you should set them intentionally to control the scope of the results.
What does the block return?
The block returns a trends object of type Record<string, unknown>. The shape of the data inside that object varies depending on the data_type you selected — for example, TIMESERIES returns interest-over-time data, while RELATED_QUERIES returns query data associated with the search term.
How do I control the date range for the trend data?
The date field accepts shorthand strings like "now 1-H" for the past hour, "today 1-m" for the past month, or "today 5-y" for the past five years. You can also specify a custom range using the format "yyyy-mm-dd yyyy-mm-dd".
Can I limit results to a specific country?
Yes. The geo field accepts a two-letter country code to restrict results to that country. Leaving geo as an empty string returns worldwide data.
What kinds of workflows is this block suited for?
This block fits into workflows involving SEO research, content planning, market analysis, competitive monitoring, and automated reporting — any workflow that needs to incorporate search interest data from Google Trends as an input or signal.
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