文档

google-analytics

试用

通过托管 OAuth 连接访问 Google Analytics,运行报表并管理分析资源配置。

它能做什么

通过托管 OAuth 代理接入 Google Analytics 官方的 Admin API 与 Data API。Data API 仅支持读取,可按维度运行会话、用户、页面浏览、转化等指标的报表。Admin API 具备写权限,可管理账号、属性、数据流、自定义维度和转化事件;任何 POST、PATCH、DELETE 在执行前都必须先向用户明确展示目标资源并取得确认。认证使用 Bearer Token (MATON_API_KEY) 调用 api.maton.ai,Admin 与 Data 使用各自独立的 OAuth 连接。

什么时候用它

  • 按维度拉取活跃用户、会话、转化等指标报表
  • 通过 Admin API 列出账号、属性和数据流
  • 经用户确认后创建或更新自定义维度和转化事件
  • 运行批量报表与实时报表

技能文档

Google Analytics

Access Google Analytics with managed OAuth authentication. This skill covers both the Admin API (manage accounts, properties, data streams) and the Data API (run reports on metrics).

Quick Start

# List account summaries (Admin API)
python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://api.maton.ai/google-analytics-admin/v1beta/accountSummaries')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

# Run a report (Data API)
python <<'EOF'
import urllib.request, os, json
data = json.dumps({'dateRanges': [{'startDate': '30daysAgo', 'endDate': 'today'}], 'dimensions': [{'name': 'city'}], 'metrics': [{'name': 'activeUsers'}]}).encode()
req = urllib.request.Request('https://api.maton.ai/google-analytics-data/v1beta/properties/{propertyId}:runReport', data=data, method='POST')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
req.add_header('Content-Type', 'application/json')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

Base URLs

Data API (read-only — run reports):

https://api.maton.ai/google-analytics-data/{native-api-path}

Admin API (write-capable — manage accounts, properties, data streams):

https://api.maton.ai/google-analytics-admin/{native-api-path}

Prefer the Data API for reporting tasks. Use the Admin API only when the user explicitly needs to create, update, or delete analytics configuration. Admin API mutations are high-impact — changes to properties and data streams affect analytics data collection.

Maton proxies requests to analyticsadmin.googleapis.com and analyticsdata.googleapis.com and automatically injects your OAuth token.

Authentication

All requests require the Maton API key in the Authorization header:

Authorization: Bearer $MATON_API_KEY

Environment Variable: Set your API key as MATON_API_KEY:

export MATON_API_KEY="YOUR_API_KEY"

Getting Your API Key

  1. Sign in or create an account at maton.ai
  2. Go to maton.ai/settings
  3. Copy your API key

Connection Management

Manage your Google OAuth connections at https://api.maton.ai.

Important: The Admin API and Data API use separate connections:

  • google-analytics-admin - Required for Admin API endpoints (manage accounts, properties, data streams)
  • google-analytics-data - Required for Data API endpoints (run reports)

Create the connection(s) you need based on which API you want to use.

List Connections

# List Admin API connections
python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://api.maton.ai/connections?app=google-analytics-admin&status=ACTIVE')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

# List Data API connections
python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://api.maton.ai/connections?app=google-analytics-data&status=ACTIVE')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

Create Connection

# Create Admin API connection (for managing accounts, properties, data streams)
python <<'EOF'
import urllib.request, os, json
data = json.dumps({'app': 'google-analytics-admin'}).encode()
req = urllib.request.Request('https://api.maton.ai/connections', data=data, method='POST')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
req.add_header('Content-Type', 'application/json')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

# Create Data API connection (for running reports)
python <<'EOF'
import urllib.request, os, json
data = json.dumps({'app': 'google-analytics-data'}).encode()
req = urllib.request.Request('https://api.maton.ai/connections', data=data, method='POST')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
req.add_header('Content-Type', 'application/json')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

Get Connection

python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://api.maton.ai/connections/{connection_id}')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

Response:

{
  "connection": {
    "connection_id": "{connection_id}",
    "status": "ACTIVE",
    "creation_time": "2025-12-08T07:20:53.488460Z",
    "last_updated_time": "2026-01-31T20:03:32.593153Z",
    "url": "https://connect.maton.ai/?session_token=...",
    "app": "google-analytics-admin",
    "metadata": {}
  }
}

Open the returned url in a browser to complete OAuth authorization.

Delete Connection

python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://api.maton.ai/connections/{connection_id}', method='DELETE')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

Specifying Connection

If you have multiple Google Analytics connections, specify which one to use with the Maton-Connection header:

python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://api.maton.ai/google-analytics-admin/v1beta/accountSummaries')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
req.add_header('Maton-Connection', '{connection_id}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

If you have multiple connections, always include this header to ensure requests go to the intended account.

Security & Permissions

  • Prefer the Data API connection for reporting tasks. The Data API is read-only and cannot modify analytics configuration. Only create an Admin API connection when the user explicitly needs administrative changes.
  • Access is scoped to properties, data streams, reports, and analytics data within the connected Google Analytics account. Revoke unused connections promptly — especially Admin API connections when administrative work is complete.
  • Default to read-only operations. Always start by listing or retrieving resources to confirm account, property, and data stream identifiers before proposing any changes.
  • All Admin API write operations require explicit user approval with specific identifiers. Before executing any POST, PATCH, or DELETE call:
    1. Retrieve and display the target resource (property name/ID, data stream name, account) so the user can verify.
    2. Clearly describe the intended effect (e.g., "This will delete data stream 'Web - example.com' (ID: 123456) from property 'My Site' — this will stop data collection").
    3. Wait for explicit user confirmation before proceeding.
  • Admin API changes are high-impact and may be irreversible. Deleting properties or data streams stops data collection permanently. Modifying property settings can affect reporting accuracy. These actions must include a summary of consequences and require confirmation.

Admin API Reference

Accounts

GET /google-analytics-admin/v1beta/accounts
GET /google-analytics-admin/v1beta/accounts/{accountId}
GET /google-analytics-admin/v1beta/accountSummaries

Properties

GET /google-analytics-admin/v1beta/properties?filter=parent:accounts/{accountId}
GET /google-analytics-admin/v1beta/properties/{propertyId}

Create Property

POST /google-analytics-admin/v1beta/properties
Content-Type: application/json

{
  "parent": "accounts/{accountId}",
  "displayName": "My New Property",
  "timeZone": "America/Los_Angeles",
  "currencyCode": "USD"
}

Data Streams

GET /google-analytics-admin/v1beta/properties/{propertyId}/dataStreams

Create Web Data Stream

POST /google-analytics-admin/v1beta/properties/{propertyId}/dataStreams
Content-Type: application/json

{
  "type": "WEB_DATA_STREAM",
  "displayName": "My Website",
  "webStreamData": {"defaultUri": "https://example.com"}
}

Custom Dimensions

GET /google-analytics-admin/v1beta/properties/{propertyId}/customDimensions

Create Custom Dimension

POST /google-analytics-admin/v1beta/properties/{propertyId}/customDimensions
Content-Type: application/json

{
  "parameterName": "user_type",
  "displayName": "User Type",
  "scope": "USER"
}

Conversion Events

GET /google-analytics-admin/v1beta/properties/{propertyId}/conversionEvents
POST /google-analytics-admin/v1beta/properties/{propertyId}/conversionEvents

Data API Reference

Run Report

POST /google-analytics-data/v1beta/properties/{propertyId}:runReport
Content-Type: application/json

{
  "dateRanges": [{"startDate": "30daysAgo", "endDate": "today"}],
  "dimensions": [{"name": "city"}],
  "metrics": [{"name": "activeUsers"}]
}

Run Realtime Report

POST /google-analytics-data/v1beta/properties/{propertyId}:runRealtimeReport
Content-Type: application/json

{
  "dimensions": [{"name": "country"}],
  "metrics": [{"name": "activeUsers"}]
}

Batch Run Reports

POST /google-analytics-data/v1beta/properties/{propertyId}:batchRunReports
Content-Type: application/json

{
  "requests": [
    {
      "dateRanges": [{"startDate": "7daysAgo", "endDate": "today"}],
      "dimensions": [{"name": "country"}],
      "metrics": [{"name": "sessions"}]
    }
  ]
}

Get Metadata

GET /google-analytics-data/v1beta/properties/{propertyId}/metadata

Common Report Examples

Page Views by Page

{
  "dateRanges": [{"startDate": "30daysAgo", "endDate": "today"}],
  "dimensions": [{"name": "pagePath"}],
  "metrics": [{"name": "screenPageViews"}],
  "orderBys": [{"metric": {"metricName": "screenPageViews"}, "desc": true}],
  "limit": 10
}

Users by Country

{
  "dateRanges": [{"startDate": "30daysAgo", "endDate": "today"}],
  "dimensions": [{"name": "country"}],
  "metrics": [{"name": "activeUsers"}, {"name": "sessions"}]
}

Traffic Sources

{
  "dateRanges": [{"startDate": "30daysAgo", "endDate": "today"}],
  "dimensions": [{"name": "sessionSource"}, {"name": "sessionMedium"}],
  "metrics": [{"name": "sessions"}, {"name": "conversions"}]
}

Common Dimensions

  • date, country, city, deviceCategory
  • pagePath, pageTitle, landingPage
  • sessionSource, sessionMedium, sessionCampaignName

Common Metrics

  • activeUsers, newUsers, sessions
  • screenPageViews, bounceRate, averageSessionDuration
  • conversions, eventCount

Date Formats

  • Relative: today, yesterday, 7daysAgo, 30daysAgo
  • Absolute: 2026-01-01

Code Examples

JavaScript

// List account summaries (Admin API)
const accounts = await fetch(
  'https://api.maton.ai/google-analytics-admin/v1beta/accountSummaries',
  {
    headers: {
      'Authorization': `Bearer ${process.env.MATON_API_KEY}`
    }
  }
);

// Run a report (Data API)
const report = await fetch(
  'https://api.maton.ai/google-analytics-data/v1beta/properties/123456:runReport',
  {
    method: 'POST',
    headers: {
      'Content-Type': 'application/json',
      'Authorization': `Bearer ${process.env.MATON_API_KEY}`
    },
    body: JSON.stringify({
      dateRanges: [{ startDate: '30daysAgo', endDate: 'today' }],
      dimensions: [{ name: 'country' }],
      metrics: [{ name: 'activeUsers' }]
    })
  }
);

Python

import os
import requests

# List account summaries (Admin API)
accounts = requests.get(
    'https://api.maton.ai/google-analytics-admin/v1beta/accountSummaries',
    headers={'Authorization': f'Bearer {os.environ["MATON_API_KEY"]}'}
)

# Run a report (Data API)
report = requests.post(
    'https://api.maton.ai/google-analytics-data/v1beta/properties/123456:runReport',
    headers={'Authorization': f'Bearer {os.environ["MATON_API_KEY"]}'},
    json={
        'dateRanges': [{'startDate': '30daysAgo', 'endDate': 'today'}],
        'dimensions': [{'name': 'country'}],
        'metrics': [{'name': 'activeUsers'}]
    }
)

Notes

  • GA4 properties only (Universal Analytics not supported)
  • Property IDs are numeric (e.g., properties/521310447)
  • Use accountSummaries to quickly list all accessible properties
  • Use updateMask for PATCH requests in Admin API
  • Use metadata endpoint to discover available dimensions/metrics
  • IMPORTANT: When using curl commands, use curl -g when URLs contain brackets (fields[], sort[], records[]) to disable glob parsing
  • IMPORTANT: When piping curl output to jq or other commands, environment variables like $MATON_API_KEY may not expand correctly in some shell environments. You may get "Invalid API key" errors when piping.

Error Handling

StatusMeaning
400Missing Google Analytics connection
401Invalid or missing Maton API key
429Rate limited (10 req/sec per account)
4xx/5xxPassthrough error from Google Analytics API

Troubleshooting: Invalid API Key

When you receive a "Invalid API key" error, ALWAYS follow these steps before concluding there is an issue:

  1. Check that the MATON_API_KEY environment variable is set:
echo $MATON_API_KEY
  1. Verify the API key is valid by listing connections:
python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://api.maton.ai/connections')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

Troubleshooting: Invalid App Name

  1. Ensure your URL path starts with the correct app name:
    • For Admin API: use google-analytics-admin
    • For Data API: use google-analytics-data

Examples:

  • Correct: https://api.maton.ai/google-analytics-admin/v1beta/accountSummaries
  • Correct: https://api.maton.ai/google-analytics-data/v1beta/properties/123456:runReport
  • Incorrect: https://api.maton.ai/analytics/v1beta/accountSummaries

Resources

常见问题

报表类需求应该用哪个 API?
用 Data API。它只读,支持针对指定属性运行 runReport、runRealtimeReport、batchRunReports 以及元数据查询。
Admin API 会改动我的分析配置吗?
会。它可以创建、更新或删除账号、属性、数据流、自定义维度和转化事件。删除属性或数据流不可逆,会立即停止数据采集,因此所有写入操作都必须先向用户展示目标资源并取得明确确认后才能执行。

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