analyze_trends: Trending analysis for search terms

In tuber: Client for the YouTube API

Trending analysis for search terms

Description

Analyzes trending videos and content for specific search terms or topics.

Usage

analyze_trends(
  search_terms,
  max_results = 50,
  time_period = "month",
  order = "viewCount",
  region_code = NULL,
  auth = "key",
  ...
)

Arguments

search_terms	Vector of search terms to analyze
max_results	Maximum results per search term (default: 50)
time_period	Time period for analysis: "week", "month", "year", "all"
order	Sort order: "relevance", "date", "rating", "viewCount"
region_code	Region code for localized trends
auth	Authentication method: "token" (OAuth2) or "key" (API key)
...	Additional arguments passed to search functions

Value

List containing trending analysis results

Examples

## Not run: 
# Analyze trending topics
trends <- analyze_trends(c("machine learning", "AI", "data science"))

# Regional trending analysis
trends_us <- analyze_trends("music", region_code = "US", time_period = "week")

## End(Not run)

tuber documentation built on March 25, 2026, 9:08 a.m.