readme.md

year-in-search-trends: Visualization of search interest over time

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.

Usage

Get source code and dependencies

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

Minimal example

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 source

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.

Example

Miscellaneous

• Search category lookup
• Country code lookup