Google Trends

Use this skill to get Google Trends daily trending searches quickly, without browser scraping.

Quick start

python scripts/google_trends_rss.py list-geos
python scripts/google_trends_rss.py daily --geo HK --limit 20 --sort traffic --format table
python scripts/google_trends_rss.py daily --geo US --sort traffic --format json --out /tmp/us-trends.json
python scripts/google_trends_rss.py daily --geo JP --sort traffic --out /tmp/jp-trends.csv

Workflow

1. Pick geo code (HK, US, JP, etc.).
2. Fetch daily trends with daily --geo .
3. Choose output format:
• table for terminal quick check
• json for downstream automation
• markdown for chat/report paste
4. If needed, save with --out:
• .json for structured pipelines
• .csv for Sheets import

Commands

1) List common geo codes

python scripts/google_trends_rss.py list-geos

2) Fetch daily trends

python scripts/google_trends_rss.py daily --geo HK --limit 20 --sort traffic --format table

Options:

• --geo (required): region code
• --limit (default 20): max trend rows
• --format (table|json|markdown, default table)
• --sort (traffic|feed|recency, default traffic)
• traffic: hottest-first by approx_traffic
• feed: keep RSS original order
• recency: newest-first by pubDate
• --out: optional file path (.json or .csv)
• --timeout (default 20)

Output schema

Each trend includes:

• title
• approx_traffic
• link
• pub_date
• picture
• up to 2 related news items (title/snippet/url/source)

Notes

• This skill targets daily trending searches feed (not full historical keyword timeseries).
• Feed source: Google Trends RSS endpoint by geo.
• Keep parsing defensive; feed fields can evolve.
• For implementation details aligned to the existing connector repo, read:
• references/google-trends-connector-notes.md

Resources

• Script: scripts/google_trends_rss.py
• Reference: references/google-trends-connector-notes.md