Actions35
- Google Search
- Google AI Mode Search
- Google Finance Search
- Google Finance Markets Search
- Google Flights Search
- Google Hotels Search
- Google Images Search
- Google Jobs Search
- Google Lens Search
- Google Local Search
- Google Maps Search
- Google News Search
- Google Patents Search
- Google Patents Details Search
- Google Play Search
- Google Play Books Search
- Google Play Games Search
- Google Play Movies Search
- Google Play Product Search
- Google Scholar Search
- Google Scholar Author Search
- Google Scholar Cite Search
- Google Shopping Search
- Google Trends Search
- Google Videos Search
- Google Web Search
- Bing Search
- Bing Image Search
- Bing Maps Search
- Bing News Search
- Bing Shopping Search
- Bing Videos Search
- Yandex Search
- Duckduckgo Search
- Raw SERP Request
Google Trends Search
AI-generatedSummary
Execute a Google Trends search query using Talordata SERP API to retrieve trend data such as interest over time, interest by region, related topics, or related queries.
Inputs
- Search Query (required) — The search query string to retrieve Google Trends data for.
- Geo — Geographical area code to localize the search.
- Language — Language code to localize the search results, defaults to English ('en').
- Data type — Type of trend data to retrieve, options include interest over time, interest by region, related topics, and related queries.
- Region — Geographical granularity level for data aggregation (Country, Region, DMA, City).
- Date range — Date range string to specify the period for the trend data.
- Category ID — Numeric ID specifying the search category, with '0' meaning all categories.
- Property — Google property to filter by, such as Web, Images, News, Shopping, or YouTube.
- Timezone offset — Timezone offset used for the query, default is 0.
- Extra Parameters JSON — Additional search parameters as a JSON object to customize the request further.
Output shape
A single JSON object containing normalized trend data according to the specified parameters, returned as a single item per input item.
Data is normalized by the node and returned keyed to each input item. The structure of the JSON depends on 'Data type' and other parameters. Pagination is not indicated.