get_search_interest_over_time
trends.google.comReturns relative Google Trends search interest over time for up to five keywords, including adaptive-resolution timeline scores and averages from https://trends.google.com.
Playground
Runs on Notte and spends your workspace credits — what comes back is the live response, not a sample.
What is get_search_interest_over_time?
Returns relative Google Trends search interest over time for up to five keywords, including adaptive-resolution timeline scores and averages from https://trends.google.com. It runs on Notte's browser infrastructure and returns structured JSON, so you can call it like any other API — pass keywords, country, timeframe, category, search_type, language, timezone_offset_minutes and get the result back without maintaining a scraper.
Response
{
"averages": [
{
"keyword": "<string>",
"average_score": 0,
"formatted_average": "<string>"
}
],
"category": 0,
"keywords": [
"<string>"
],
"timeline": [
{
"values": [
{
"score": 0,
"keyword": "<string>",
"has_data": true,
"formatted_score": "<string>"
}
],
"timestamp": 0,
"is_partial": true,
"formatted_time": "<string>",
"formatted_axis_time": "<string>"
}
],
"timeframe": "<string>",
"resolution": "<string>",
"point_count": 0,
"search_type": "<string>",
"country_code": "<string>"
}Call it
curl --location 'https://us-prod.notte.cc/functions/bcffe950-4cff-4717-aedf-47eb632a6557/runs/start' \
--header 'x-notte-api-key: YOUR_API_KEY' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer YOUR_API_KEY' \
--data '{
"function_id": "bcffe950-4cff-4717-aedf-47eb632a6557",
"variables": {
"keywords": ["OpenAI", "ChatGPT"],
"country": "US",
"timeframe": "today 3-m",
"category": 0,
"search_type": "web",
"language": "en-US",
"timezone_offset_minutes": 0
}
}'Ask an agent
Paste this into Claude Code, Cursor or any MCP client to have an agent call this function for you.
Use the Anything API MCP server (https://anything.notte.cc/mcp). Call run(function_id="bcffe950-4cff-4717-aedf-47eb632a6557") — the "get_search_interest_over_time" function, which returns relative Google Trends search interest over time for up to five keywords, including adaptive-resolution timeline scores and averages from https://trends.google.com.. It takes keywords (list[str]), country (str), timeframe (str), category (int), search_type (str), language (str), timezone_offset_minutes (int). Return the result as structured JSON.