GeneralMills/pytrends
Pseudo API for Google Trends observed · 2026-08-28
Health v2 · maintenance only
10/100
- Activity 0
- Release rhythm 8
- Longevity 100
Flags: archived no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 4347
- days_rel: n/a
- days_push: 753
- n_releases_24m: 0
Adoption not part of the score
3730 stars · 889 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Pytrends is an unofficial Python library providing a pseudo API for Google Trends, enabling automated downloading of trend reports. It wraps Google's internal endpoints and returns data as pandas DataFrames.
Use cases
- download google trends interest over time data
- get interest by region for a keyword
- fetch related topics and related queries
- track trending searches and realtime trends
- analyze keyword popularity over the last 5 years
- export google trends data to pandas for analysis
When to choose
- you need programmatic access to Google Trends data in Python
- you want trend data as pandas DataFrames for analysis
- you need historical hourly or multirange interest data
When to avoid
- you need a guaranteed, officially supported API
- you cannot tolerate breakage when Google changes its backend
- you need high-volume scraping without hitting rate limits
Facets
library · maturity maintenance
http-client web-scraping data-science analytics analytics data-science apis python cross-platform google-trends unofficial-api trend-analysis pandas search
1 source
- readme: https://github.com/GeneralMills/pytrends · fetched 2026-08-28 · 6766bcaf1eec
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| GeneralMills/pytrends | main | 10 |
For agents
markdown · JSON · MCP: product_card(name="GeneralMills/pytrends")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem