Google Trends RSS

Fetch and structure Google Trends daily trending-search data by country/region via the public RSS feed. Use when users ask for Google Trends snapshots, count...

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 <CODE>.
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