ga4-analytics

Google Analytics 4, Search Console, and Indexing API toolkit. Analyze website traffic, page performance, user demographics, real-time visitors, search queries, and SEO metrics. Use when the user asks to: check site traffic, analyze page views, see traffic sources, view user demographics, get real-time visitor data, check search console queries, analyze SEO performance, request URL re-indexing, inspect index status, compare date ranges, check bounce rates, view conversion data, or get e-commerce revenue. Requires a Google Cloud service account with GA4 and Search Console access.

533 stars

Best use case

ga4-analytics is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Google Analytics 4, Search Console, and Indexing API toolkit. Analyze website traffic, page performance, user demographics, real-time visitors, search queries, and SEO metrics. Use when the user asks to: check site traffic, analyze page views, see traffic sources, view user demographics, get real-time visitor data, check search console queries, analyze SEO performance, request URL re-indexing, inspect index status, compare date ranges, check bounce rates, view conversion data, or get e-commerce revenue. Requires a Google Cloud service account with GA4 and Search Console access.

Teams using ga4-analytics should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/ga4-analytics/SKILL.md --create-dirs "https://raw.githubusercontent.com/sundial-org/awesome-openclaw-skills/main/skills/ga4-analytics/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/ga4-analytics/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How ga4-analytics Compares

Feature / Agentga4-analyticsStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Google Analytics 4, Search Console, and Indexing API toolkit. Analyze website traffic, page performance, user demographics, real-time visitors, search queries, and SEO metrics. Use when the user asks to: check site traffic, analyze page views, see traffic sources, view user demographics, get real-time visitor data, check search console queries, analyze SEO performance, request URL re-indexing, inspect index status, compare date ranges, check bounce rates, view conversion data, or get e-commerce revenue. Requires a Google Cloud service account with GA4 and Search Console access.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# GA4 Analytics Toolkit

## Setup

Install dependencies:

```bash
cd scripts && npm install
```

Configure credentials by creating a `.env` file in the project root:

```
GA4_PROPERTY_ID=123456789
GA4_CLIENT_EMAIL=service-account@project.iam.gserviceaccount.com
GA4_PRIVATE_KEY="-----BEGIN PRIVATE KEY-----\n...\n-----END PRIVATE KEY-----\n"
SEARCH_CONSOLE_SITE_URL=https://your-domain.com
GA4_DEFAULT_DATE_RANGE=30d
```

**Prerequisites**: A Google Cloud project with the Analytics Data API, Search Console API, and Indexing API enabled. A service account with access to your GA4 property and Search Console.

## Quick Start

| User says | Function to call |
|-----------|-----------------|
| "Show me site traffic for the last 30 days" | `siteOverview("30d")` |
| "What are my top search queries?" | `searchConsoleOverview("30d")` |
| "Who's on the site right now?" | `liveSnapshot()` |
| "Reindex these URLs" | `reindexUrls(["https://example.com/page1", ...])` |
| "Compare this month vs last month" | `compareDateRanges({startDate: "30daysAgo", endDate: "today"}, {startDate: "60daysAgo", endDate: "31daysAgo"})` |
| "What pages get the most traffic?" | `contentPerformance("30d")` |

Execute functions by importing from `scripts/src/index.ts`:

```typescript
import { siteOverview, searchConsoleOverview } from './scripts/src/index.js';

const overview = await siteOverview('30d');
```

Or run directly with tsx:

```bash
npx tsx scripts/src/index.ts
```

## Workflow Pattern

Every analysis follows three phases:

### 1. Analyze
Run API functions. Each call hits the Google APIs and returns structured data.

### 2. Auto-Save
All results automatically save as timestamped JSON files to `results/{category}/`. File naming pattern: `YYYYMMDD_HHMMSS__operation__extra_info.json`

### 3. Summarize
After analysis, read the saved JSON files and create a markdown summary in `results/summaries/` with data tables, trends, and recommendations.

## High-Level Functions

### GA4 Analytics

| Function | Purpose | What it gathers |
|----------|---------|----------------|
| `siteOverview(dateRange?)` | Comprehensive site snapshot | Page views, traffic sources, demographics, events |
| `trafficAnalysis(dateRange?)` | Traffic deep-dive | Sources, sessions by source/medium, new vs returning |
| `contentPerformance(dateRange?)` | Top pages analysis | Page views, landing pages, exit pages |
| `userBehavior(dateRange?)` | Engagement patterns | Demographics, events, daily engagement metrics |
| `compareDateRanges(range1, range2)` | Period comparison | Side-by-side metrics for two date ranges |
| `liveSnapshot()` | Real-time data | Active users, current pages, current events |

### Search Console

| Function | Purpose | What it gathers |
|----------|---------|----------------|
| `searchConsoleOverview(dateRange?)` | SEO snapshot | Top queries, pages, device, country breakdown |
| `keywordAnalysis(dateRange?)` | Keyword deep-dive | Queries with device breakdown |
| `seoPagePerformance(dateRange?)` | Page SEO metrics | Top pages by clicks, country breakdown |

### Indexing

| Function | Purpose |
|----------|---------|
| `reindexUrls(urls)` | Request re-indexing for multiple URLs |
| `checkIndexStatus(urls)` | Check if URLs are indexed |

### Utility

| Function | Purpose |
|----------|---------|
| `getAvailableFields()` | List all available GA4 dimensions and metrics |

### Individual API Functions

For granular control, import specific functions from the API modules. See [references/api-reference.md](references/api-reference.md) for the complete list of 30+ API functions with parameters, types, and examples.

## Date Ranges

All functions accept flexible date range formats:

| Format | Example | Description |
|--------|---------|-------------|
| Shorthand | `"7d"`, `"30d"`, `"90d"` | Days ago to today |
| Explicit | `{startDate: "2024-01-01", endDate: "2024-01-31"}` | Specific dates |
| GA4 relative | `{startDate: "30daysAgo", endDate: "today"}` | GA4 relative format |

Default is `"30d"` (configurable via `GA4_DEFAULT_DATE_RANGE` in `.env`).

## Results Storage

Results auto-save to `results/` with this structure:

```
results/
├── reports/          # GA4 standard reports
├── realtime/         # Real-time snapshots
├── searchconsole/    # Search Console data
├── indexing/         # Indexing API results
└── summaries/        # Human-readable markdown summaries
```

### Managing Results

```typescript
import { listResults, loadResult, getLatestResult } from './scripts/src/index.js';

// List recent results
const files = listResults('reports', 10);

// Load a specific result
const data = loadResult(files[0]);

// Get most recent result for an operation
const latest = getLatestResult('reports', 'site_overview');
```

## Common Dimensions and Metrics

### Dimensions
`pagePath`, `pageTitle`, `sessionSource`, `sessionMedium`, `country`, `deviceCategory`, `browser`, `date`, `eventName`, `landingPage`, `newVsReturning`

### Metrics
`screenPageViews`, `activeUsers`, `sessions`, `newUsers`, `bounceRate`, `averageSessionDuration`, `engagementRate`, `conversions`, `totalRevenue`, `eventCount`

## Tips

1. **Specify date ranges** — "last 7 days" or "last 90 days" gives different insights than the default 30 days
2. **Request summaries** — After pulling data, ask for a markdown summary with tables and insights
3. **Compare periods** — Use `compareDateRanges()` to spot trends (this month vs last month)
4. **Check real-time data** — `liveSnapshot()` shows who's on the site right now
5. **Combine GA4 + Search Console** — Traffic data plus search query data gives the full picture

Related Skills

oura-analytics

533
from sundial-org/awesome-openclaw-skills

Oura Ring data integration and analytics. Fetch sleep scores, readiness, activity, HRV, and trends from the Oura Cloud API. Generate automated reports, correlations with productivity, and trigger-based alerts for low recovery days. Requires OURA_API_TOKEN (get at cloud.ouraring.com).

analytics-tracking

533
from sundial-org/awesome-openclaw-skills

When the user wants to set up, improve, or audit analytics tracking and measurement. Also use when the user mentions "set up tracking," "GA4," "Google Analytics," "conversion tracking," "event tracking," "UTM parameters," "tag manager," "GTM," "analytics implementation," or "tracking plan." For A/B test measurement, see ab-test-setup.

portfolio-watcher

533
from sundial-org/awesome-openclaw-skills

Monitor stock/crypto holdings, get price alerts, track portfolio performance

portainer

533
from sundial-org/awesome-openclaw-skills

Control Docker containers and stacks via Portainer API. List containers, start/stop/restart, view logs, and redeploy stacks from git.

portable-tools

533
from sundial-org/awesome-openclaw-skills

Build cross-device tools without hardcoding paths or account names

polymarket

533
from sundial-org/awesome-openclaw-skills

Trade prediction markets on Polymarket. Analyze odds, place bets, track positions, automate alerts, and maximize returns from event outcomes. Covers sports, politics, entertainment, and more.

polymarket-traiding-bot

533
from sundial-org/awesome-openclaw-skills

No description provided.

polymarket-analysis

533
from sundial-org/awesome-openclaw-skills

Analyze Polymarket prediction markets for trading edges. Pair Cost arbitrage, whale tracking, sentiment analysis, momentum signals, user profile tracking. No execution.

polymarket-agent

533
from sundial-org/awesome-openclaw-skills

Autonomous prediction market agent - analyzes markets, researches news, and identifies trading opportunities

polymarket-5

533
from sundial-org/awesome-openclaw-skills

Query Polymarket prediction markets. Use for questions about prediction markets, betting odds, market prices, event probabilities, or when user asks about Polymarket data.

polymarket-4

533
from sundial-org/awesome-openclaw-skills

Query Polymarket prediction markets. Use for questions about prediction markets, betting odds, market prices, event probabilities, or when user asks about Polymarket data.

polymarket-3

533
from sundial-org/awesome-openclaw-skills

Query Polymarket prediction market odds and events via CLI. Search for markets, get current prices, list events by category. Supports sports betting (NFL, NBA, soccer/EPL, Champions League), politics, crypto, elections, geopolitics. Real money markets = more accurate than polls. No API key required. Use when asked about odds, probabilities, predictions, or "what are the chances of X".