ga4

Query Google Analytics 4 (GA4) data via the Analytics Data API. Use when you need to pull website analytics like top pages, traffic sources, user counts, sessions, conversions, or any GA4 metrics/dimensions. Supports custom date ranges and filtering.

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Install skill "ga4" with this command: npx skills add jdrhyne/agent-skills/jdrhyne-agent-skills-ga4

GA4 - Google Analytics 4 Data API

Query GA4 properties for analytics data: page views, sessions, users, traffic sources, conversions, and more.

Setup (one-time)

  1. Enable Google Analytics Data API: https://console.cloud.google.com/apis/library/analyticsdata.googleapis.com
  2. Create OAuth credentials or use existing Google Cloud project
  3. Set environment variables:
    • GA4_PROPERTY_ID - Your GA4 property ID (numeric, e.g., "123456789")
    • GOOGLE_CLIENT_ID - OAuth client ID
    • GOOGLE_CLIENT_SECRET - OAuth client secret
    • GOOGLE_REFRESH_TOKEN - OAuth refresh token (from initial auth flow)

Common Queries

Top Pages (by pageviews)

python3 scripts/ga4_query.py --metric screenPageViews --dimension pagePath --limit 30

Top Pages with Sessions & Users

python3 scripts/ga4_query.py --metrics screenPageViews,sessions,totalUsers --dimension pagePath --limit 20

Traffic Sources

python3 scripts/ga4_query.py --metric sessions --dimension sessionSource --limit 20

Landing Pages

python3 scripts/ga4_query.py --metric sessions --dimension landingPage --limit 30

Custom Date Range

python3 scripts/ga4_query.py --metric sessions --dimension pagePath --start 2026-01-01 --end 2026-01-15

Filter by Page Path

python3 scripts/ga4_query.py --metric screenPageViews --dimension pagePath --filter "pagePath=~/blog/"

Available Metrics

Common metrics: screenPageViews, sessions, totalUsers, newUsers, activeUsers, bounceRate, averageSessionDuration, conversions, eventCount

Available Dimensions

Common dimensions: pagePath, pageTitle, landingPage, sessionSource, sessionMedium, sessionCampaignName, country, city, deviceCategory, browser, date

Output Formats

Default: Table format Add --json for JSON output Add --csv for CSV output

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