Retrieve Google Trends data for interest over time, regional demand, related topics, related queries, current trending searches, and Knowledge Graph topic IDs through structured JSON endpoints.
No credit card required · Failed requests cost 0 credits
{
"query": "electric vehicles,hybrid cars",
"timeline": [
{
"date": "Jul 2026",
"timestamp": 1785542400,
"values": [
{
"query": "electric vehicles",
"value": 82,
"extracted_value": 82
},
{
"query": "hybrid cars",
"value": 64,
"extracted_value": 64
}
]
}
],
"averages": [
{
"query": "electric vehicles",
"value": 76,
"extracted_value": 76
}
]
}Compare search interest, identify regional demand, discover related searches, resolve topic identifiers, and monitor current trends through structured JSON responses.
/v1/google/trends/searchAccess multiple Google Trends datasets through one endpoint by selecting a data_type.
Use it to retrieve interest over time, compare regional interest for multiple terms, measure interest by region for one term, or discover top and rising related topics and queries.
Only the response fields relevant to the selected data_type are populated. The remaining arrays stay empty.
TIMESERIES | optional | Interest over time for up to five terms. |
GEO_MAP | optional | Regional comparison for up to five terms. |
GEO_MAP_0 | optional | Regional interest for one term or topic. |
RELATED_TOPICS | optional | Top and rising related topics for one term. |
RELATED_QUERIES | optional | Top and rising related searches for one term. |
curl --get \
'https://scrapebadger.com/v1/google/trends/search' \
--data-urlencode 'q=electric vehicles,hybrid cars' \
--data-urlencode 'data_type=TIMESERIES' \
--data-urlencode 'geo=US' \
--data-urlencode 'date=today 12-m' \
--data-urlencode 'tz=0' \
--header 'x-api-key: YOUR_API_KEY'{
"query": "electric vehicles,hybrid cars",
"data_type": "TIMESERIES",
"timeline": [
{
"date": "Jul 2026",
"timestamp": 1785542400,
"values": [
{
"query": "electric vehicles",
"value": 82,
"extracted_value": 82
},
{
"query": "hybrid cars",
"value": 64,
"extracted_value": 64
}
]
}
],
"averages": [
{
"query": "electric vehicles",
"value": 76,
"extracted_value": 76
},
{
"query": "hybrid cars",
"value": 59,
"extracted_value": 59
}
],
"regions": [],
"top_topics": [],
"rising_topics": [],
"top_queries": [],
"rising_queries": []
}Compare up to five keywords over the same time range to understand their relative search interest. Use interest timelines, averages, top queries, and rising queries to prioritise topics using current search behaviour rather than relying only on static keyword-volume estimates.
Identify recurring peaks and periods of declining interest for products, services, events, and categories. Compare the same terms over one month, one year, five years, or the full available range to support campaign timing, editorial planning, and inventory research.
Measure where a term has the strongest relative interest across countries, regions, states, DMAs, or cities where supported. Use the results to inform regional content, market research, campaign targeting, and localisation decisions.
Monitor current trending searches and associated news coverage by country. Combine trending searches with rising topics and queries to identify subjects that may require editorial coverage, internal analysis, or further validation.
1,000 free credits · No credit card required
Connect search-interest data with query discovery, search results, news coverage, and product visibility using the same ScrapeBadger account and API key.
Retrieve Google search suggestions for a query prefix by country and language. Use autocomplete data to discover keyword variations before measuring their relative interest through Google Trends.
Explore the Google Autocomplete API →Retrieve structured Google search results, including organic listings and other available SERP features. Use it to examine the pages ranking for a term after Trends identifies increasing or sustained search interest.
Explore the Google Search API →Search Google News and retrieve headlines, sources, publication information, and article links. Combine it with trending searches to investigate the stories and events driving current interest.
Explore the Google News API →Retrieve Google Shopping product listings, prices, sellers, ratings, and product identifiers. Use the Trends Shopping property to identify demand patterns before researching the products and merchants appearing in Google Shopping.
Explore the Google Shopping API →Structured JSON responses remove browser automation, proxy orchestration, and HTML parsing from your roadmap. Make your first request in minutes and move from proof of concept to production without maintaining scrapers.
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Access Search, Maps, News, Trends, Shopping, Scholar, Flights, and every other supported Google product with one ScrapeBadger API key and one credit balance.
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Everything you need to know about the Trends API.
data_type .TIMESERIES data type accept up to five comma-separated terms. The unified GEO_MAP option also supports up to five terms for regional comparison. Regional single-term and related-data requests accept one term or topic.data_type to return time-series, geographic, related-topic, or related-query data through one endpoint. Interest Over Time, Interest by Region, and Related Topics and Queries provide direct routes with narrower parameters and stable response shapes for those specific datasets.gprop to select web search, images, news, Shopping, or YouTube search interest. The documented Shopping property value is froogle . Keep the property unchanged when comparing terms or time periods.Use 1,000 free credits to compare search interest, identify regional demand, discover rising topics, and monitor current trending searches through structured JSON endpoints.
No credit card required · 1,000 free credits · Failed requests cost 0 credits
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