year-in-search-trends is just pytrends and seaborn's FacetGrid with some extra steps. The keywords are preselected and normalized to visualize different orders of magnitude of search interest in the same chart.

git clone https://github.com/joweich/year-in-search-trends.git
cd year-in-search-trends
pip install -r requirements.txt

import yearinsearchtrends as yist

keywords = ["Weather Forecast", "TV Program"]
df = yist.get_interest_over_time(
    keywords, "2022-01-01 2023-01-01"
)
yist.draw_ridgeplot(df)

Data is retrieved from https://www.google.com/trends. You have to comply with Google's Terms of Service if you use this data source. Neither pytrends nor this project are officially supported tools.

• Search category lookup
• Country code lookup