{"id":1794,"date":"2026-07-19T17:00:00","date_gmt":"2026-07-19T22:00:00","guid":{"rendered":"https:\/\/tolinku.com\/blog\/?p=1794"},"modified":"2026-03-07T03:37:22","modified_gmt":"2026-03-07T08:37:22","slug":"analytics-api-integration","status":"publish","type":"post","link":"https:\/\/tolinku.com\/blog\/analytics-api-integration\/","title":{"rendered":"Analytics API Integration for Deep Links"},"content":{"rendered":"\n

Dashboards are useful until you need to combine deep link analytics with data from other systems. An analytics API lets you pull click data, conversion metrics, and campaign performance into your own tools: custom dashboards, BI platforms, Slack bots, or automated reporting pipelines.<\/p>\n\n\n\n

This guide covers how to integrate deep link analytics via API. For data export options, see exporting deep link analytics data<\/a>. For analytics fundamentals, see deep link analytics: measuring what matters<\/a>.<\/p>\n\n\n\n

\"Tolinku\nThe analytics dashboard with date range selector, filters, charts, and breakdowns.<\/em><\/p>\n\n\n\n

API Design Patterns<\/h2>\n\n\n\n

REST API for Analytics<\/h3>\n\n\n\n

A typical analytics REST API exposes endpoints for querying click data, conversions, and aggregated metrics:<\/p>\n\n\n\n

GET \/v1\/analytics\/clicks          # Raw click events\nGET \/v1\/analytics\/clicks\/summary  # Aggregated click metrics\nGET \/v1\/analytics\/conversions     # Conversion events\nGET \/v1\/analytics\/campaigns       # Campaign-level metrics\nGET \/v1\/analytics\/routes          # Route-level metrics\n<\/code><\/pre>\n\n\n\n
Authentication<\/h3>\n\n\n\n
Analytics APIs typically use API keys or OAuth tokens:<\/p>\n\n\n\n
\/\/ API key authentication\nconst headers = {\n  'Authorization': `Bearer ${process.env.ANALYTICS_API_KEY}`,\n  'Content-Type': 'application\/json'\n};\n\n\/\/ Make an authenticated request\nasync function queryAnalytics(endpoint: string, params: Record<string, string>) {\n  const url = new URL(`https:\/\/api.example.com\/v1\/analytics\/${endpoint}`);\n  Object.entries(params).forEach(([k, v]) => url.searchParams.set(k, v));\n\n  const response = await fetch(url.toString(), { headers });\n\n  if (!response.ok) {\n    throw new Error(`Analytics API error: ${response.status} ${response.statusText}`);\n  }\n\n  return response.json();\n}\n<\/code><\/pre>\n\n\n\n
Common Query Patterns<\/h2>\n\n\n\n
Click Summary by Date Range<\/h3>\n\n\n\n
The most common query: how many clicks, opens, and conversions occurred in a date range?<\/p>\n\n\n\n
interface ClickSummary {\n  total_clicks: number;\n  app_opens: number;\n  open_rate: number;\n  fallbacks: number;\n  fallback_rate: number;\n  conversions: number;\n  conversion_rate: number;\n}\n\nasync function getClickSummary(\n  start: string,\n  end: string,\n  filters?: { campaign?: string; route?: string; platform?: string }\n): Promise<ClickSummary> {\n  const params: Record<string, string> = { start, end };\n  if (filters?.campaign) params.campaign = filters.campaign;\n  if (filters?.route) params.route = filters.route;\n  if (filters?.platform) params.platform = filters.platform;\n\n  return queryAnalytics('clicks\/summary', params);\n}\n\n\/\/ Usage\nconst summary = await getClickSummary('2026-07-01', '2026-07-19', {\n  campaign: 'summer-promo'\n});\nconsole.log(`${summary.total_clicks} clicks, ${summary.conversion_rate}% conversion`);\n<\/code><\/pre>\n\n\n\n
Time Series Data<\/h3>\n\n\n\n
Get metrics over time for charting:<\/p>\n\n\n\n
interface TimeSeriesPoint {\n  date: string;\n  clicks: number;\n  app_opens: number;\n  conversions: number;\n}\n\nasync function getTimeSeries(\n  start: string,\n  end: string,\n  granularity: 'hour' | 'day' | 'week' | 'month'\n): Promise<TimeSeriesPoint[]> {\n  return queryAnalytics('clicks\/timeseries', {\n    start,\n    end,\n    granularity\n  });\n}\n<\/code><\/pre>\n\n\n\n
Campaign Comparison<\/h3>\n\n\n\n
Compare performance across campaigns:<\/p>\n\n\n\n
interface CampaignMetrics {\n  campaign: string;\n  clicks: number;\n  app_opens: number;\n  open_rate: number;\n  conversions: number;\n  conversion_rate: number;\n  cpa: number;\n}\n\nasync function compareCampaigns(\n  start: string,\n  end: string\n): Promise<CampaignMetrics[]> {\n  return queryAnalytics('campaigns', {\n    start,\n    end,\n    sort: 'conversions',\n    order: 'desc'\n  });\n}\n<\/code><\/pre>\n\n\n\n
Funnel Analysis<\/h3>\n\n\n\n
Query step-by-step conversion data:<\/p>\n\n\n\n
interface FunnelStep {\n  step: string;\n  count: number;\n  rate: number;\n  drop_off: number;\n}\n\nasync function getFunnel(\n  campaign: string,\n  start: string,\n  end: string\n): Promise<FunnelStep[]> {\n  return queryAnalytics('funnels', {\n    campaign,\n    start,\n    end,\n    steps: 'click,app_open,target_screen,conversion'\n  });\n}\n<\/code><\/pre>\n\n\n\n
Building Custom Dashboards<\/h2>\n\n\n\n
Fetching Data for a Dashboard<\/h3>\n\n\n\n
interface DashboardData {\n  summary: ClickSummary;\n  timeSeries: TimeSeriesPoint[];\n  topCampaigns: CampaignMetrics[];\n  topRoutes: RouteMetrics[];\n  platformBreakdown: PlatformMetrics[];\n}\n\nasync function fetchDashboardData(dateRange: { start: string; end: string }): Promise<DashboardData> {\n  \/\/ Fetch all dashboard data in parallel\n  const [summary, timeSeries, topCampaigns, topRoutes, platformBreakdown] = await Promise.all([\n    getClickSummary(dateRange.start, dateRange.end),\n    getTimeSeries(dateRange.start, dateRange.end, 'day'),\n    compareCampaigns(dateRange.start, dateRange.end),\n    queryAnalytics('routes', { start: dateRange.start, end: dateRange.end, limit: '10' }),\n    queryAnalytics('clicks\/summary', {\n      start: dateRange.start,\n      end: dateRange.end,\n      group_by: 'platform'\n    })\n  ]);\n\n  return { summary, timeSeries, topCampaigns, topRoutes, platformBreakdown };\n}\n<\/code><\/pre>\n\n\n\n
Caching API Responses<\/h3>\n\n\n\n
Analytics data for past dates does not change. Cache aggressively:<\/p>\n\n\n\n
const cache = new Map<string, { data: any; expires: number }>();\n\nasync function cachedQuery(\n  endpoint: string,\n  params: Record<string, string>,\n  ttlMs: number = 300000 \/\/ 5 minutes default\n): Promise<any> {\n  const cacheKey = `${endpoint}:${JSON.stringify(params)}`;\n  const cached = cache.get(cacheKey);\n\n  if (cached && cached.expires > Date.now()) {\n    return cached.data;\n  }\n\n  const data = await queryAnalytics(endpoint, params);\n\n  \/\/ Cache historical data longer (1 hour) vs recent data (5 minutes)\n  const isHistorical = new Date(params.end) < new Date(Date.now() - 86400000);\n  const ttl = isHistorical ? 3600000 : ttlMs;\n\n  cache.set(cacheKey, { data, expires: Date.now() + ttl });\n  return data;\n}\n<\/code><\/pre>\n\n\n\n
Automated Reporting<\/h2>\n\n\n\n
Slack Integration<\/h3>\n\n\n\n
Post daily analytics summaries to Slack:<\/p>\n\n\n\n
async function postDailySlackReport(webhookUrl: string) {\n  const yesterday = new Date(Date.now() - 86400000).toISOString().split('T')[0];\n  const summary = await getClickSummary(yesterday, yesterday);\n\n  const previousDay = new Date(Date.now() - 172800000).toISOString().split('T')[0];\n  const previous = await getClickSummary(previousDay, previousDay);\n\n  const clickChange = ((summary.total_clicks - previous.total_clicks) \/ previous.total_clicks * 100).toFixed(1);\n  const convChange = ((summary.conversions - previous.conversions) \/ previous.conversions * 100).toFixed(1);\n\n  await fetch(webhookUrl, {\n    method: 'POST',\n    headers: { 'Content-Type': 'application\/json' },\n    body: JSON.stringify({\n      text: `*Daily Deep Link Report: ${yesterday}*\\n` +\n        `Clicks: ${summary.total_clicks.toLocaleString()} (${clickChange}% vs prev day)\\n` +\n        `App Opens: ${summary.app_opens.toLocaleString()} (${summary.open_rate}% rate)\\n` +\n        `Conversions: ${summary.conversions.toLocaleString()} (${convChange}% vs prev day)\\n` +\n        `Conversion Rate: ${summary.conversion_rate}%`\n    })\n  });\n}\n<\/code><\/pre>\n\n\n\n
Email Report Generation<\/h3>\n\n\n\n
Generate HTML email reports from API data:<\/p>\n\n\n\n
async function generateEmailReport(\n  recipients: string[],\n  dateRange: { start: string; end: string }\n) {\n  const data = await fetchDashboardData(dateRange);\n\n  const html = `\n    <h2>Deep Link Performance: ${dateRange.start} to ${dateRange.end}<\/h2>\n    <table>\n      <tr><td>Total Clicks<\/td><td>${data.summary.total_clicks.toLocaleString()}<\/td><\/tr>\n      <tr><td>App Opens<\/td><td>${data.summary.app_opens.toLocaleString()} (${data.summary.open_rate}%)<\/td><\/tr>\n      <tr><td>Conversions<\/td><td>${data.summary.conversions.toLocaleString()} (${data.summary.conversion_rate}%)<\/td><\/tr>\n    <\/table>\n    <h3>Top Campaigns<\/h3>\n    <table>\n      <tr><th>Campaign<\/th><th>Clicks<\/th><th>Conversions<\/th><th>Rate<\/th><\/tr>\n      ${data.topCampaigns.slice(0, 5).map(c =>\n        `<tr><td>${c.campaign}<\/td><td>${c.clicks}<\/td><td>${c.conversions}<\/td><td>${c.conversion_rate}%<\/td><\/tr>`\n      ).join('')}\n    <\/table>\n  `;\n\n  await sendEmail({ to: recipients, subject: `Deep Link Report: ${dateRange.start}`, html });\n}\n<\/code><\/pre>\n\n\n\n
Alerting<\/h3>\n\n\n\n
Trigger alerts when metrics cross thresholds:<\/p>\n\n\n\n
interface AlertRule {\n  metric: string;\n  condition: 'above' | 'below';\n  threshold: number;\n  window: string; \/\/ e.g., '1h', '24h'\n  notify: string[]; \/\/ Slack channels, email addresses\n}\n\nasync function checkAlerts(rules: AlertRule[]) {\n  for (const rule of rules) {\n    const end = new Date().toISOString();\n    const start = subtractDuration(end, rule.window);\n\n    const summary = await getClickSummary(start, end);\n    const value = summary[rule.metric as keyof ClickSummary] as number;\n\n    const triggered = rule.condition === 'above'\n      ? value > rule.threshold\n      : value < rule.threshold;\n\n    if (triggered) {\n      await sendAlert(rule, value);\n    }\n  }\n}\n\n\/\/ Example rules\nconst alertRules: AlertRule[] = [\n  {\n    metric: 'open_rate',\n    condition: 'below',\n    threshold: 50,\n    window: '1h',\n    notify: ['#deep-links-alerts']\n  },\n  {\n    metric: 'fallback_rate',\n    condition: 'above',\n    threshold: 40,\n    window: '1h',\n    notify: ['#deep-links-alerts', 'engineering@company.com']\n  }\n];\n<\/code><\/pre>\n\n\n\n
Error Handling<\/h2>\n\n\n\n
Retry Logic<\/h3>\n\n\n\n
Analytics APIs may return temporary errors. Implement retry with exponential backoff:<\/p>\n\n\n\n
async function queryWithRetry(\n  endpoint: string,\n  params: Record<string, string>,\n  maxRetries: number = 3\n): Promise<any> {\n  for (let attempt = 0; attempt <= maxRetries; attempt++) {\n    try {\n      const response = await fetch(buildUrl(endpoint, params), { headers });\n\n      if (response.status === 429) {\n        \/\/ Rate limited: wait and retry\n        const retryAfter = parseInt(response.headers.get('Retry-After') || '60');\n        await sleep(retryAfter * 1000);\n        continue;\n      }\n\n      if (response.status >= 500) {\n        \/\/ Server error: exponential backoff\n        await sleep(Math.pow(2, attempt) * 1000);\n        continue;\n      }\n\n      if (!response.ok) {\n        throw new Error(`API error: ${response.status}`);\n      }\n\n      return response.json();\n    } catch (error) {\n      if (attempt === maxRetries) throw error;\n      await sleep(Math.pow(2, attempt) * 1000);\n    }\n  }\n}\n<\/code><\/pre>\n\n\n\n
Handling Incomplete Data<\/h3>\n\n\n\n
Analytics data may have delays. Account for data freshness:<\/p>\n\n\n\n
interface QueryMetadata {\n  data_freshness: string; \/\/ ISO timestamp of latest data\n  is_complete: boolean;   \/\/ Whether the date range has complete data\n  warning?: string;       \/\/ e.g., "Data for today may be incomplete"\n}\n\nasync function queryWithFreshness(\n  endpoint: string,\n  params: Record<string, string>\n): Promise<{ data: any; metadata: QueryMetadata }> {\n  const response = await queryAnalytics(endpoint, params);\n\n  return {\n    data: response.data,\n    metadata: {\n      data_freshness: response.metadata.freshness,\n      is_complete: response.metadata.complete,\n      warning: response.metadata.warning\n    }\n  };\n}\n<\/code><\/pre>\n\n\n\n
Third-Party Integrations<\/h2>\n\n\n\n
BI Tool Integration<\/h3>\n\n\n\n
Connect analytics APIs to BI tools like Looker, Tableau, or Metabase:<\/p>\n\n\n\n
\n\n\n\n\n\n\n
BI Tool<\/th>\nConnection Method<\/th>\nNotes<\/th>\n<\/tr>\n<\/thead>\n
Looker<\/td>\nCustom connector or REST API data source<\/td>\nReal-time queries<\/td>\n<\/tr>\n
Tableau<\/td>\nWeb data connector<\/td>\nScheduled refresh<\/td>\n<\/tr>\n
Metabase<\/td>\nDirect database connection or API<\/td>\nPoint to your data warehouse<\/td>\n<\/tr>\n
Google Data Studio<\/td>\nSheets or BigQuery connector<\/td>\nExport to Sheets\/BigQuery first<\/td>\n<\/tr>\n<\/tbody><\/table><\/figure>\n\n\n\n
Data Pipeline Tools<\/h3>\n\n\n\n
Use ETL\/ELT tools to automate data movement:<\/p>\n\n\n\n
\n\n\n\n\n\n\n
Tool<\/th>\nApproach<\/th>\n<\/tr>\n<\/thead>\n
Airbyte<\/a><\/td>\nCustom connector for analytics API<\/td>\n<\/tr>\n
Fivetran<\/a><\/td>\nCustom connector or webhook ingestion<\/td>\n<\/tr>\n
dbt<\/a><\/td>\nTransform data after loading to warehouse<\/td>\n<\/tr>\n
Custom script<\/td>\nDirect API calls on a cron schedule<\/td>\n<\/tr>\n<\/tbody><\/table><\/figure>\n\n\n\n
Tolinku for Analytics API<\/h2>\n\n\n\n
Tolinku's analytics API<\/a> provides programmatic access to click data, campaign metrics, and conversion events. Query analytics data for custom dashboards, automated reports, and data warehouse integration. See the API reference<\/a> for available endpoints.<\/p>\n\n\n\n
For data export options, see exporting deep link analytics data<\/a>. For building short links programmatically, see short link APIs: programmatic link creation<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"
Integrate deep link analytics via API. Query analytics data programmatically, build custom dashboards, and automate reporting workflows.<\/p>\n","protected":false},"author":2,"featured_media":1793,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"rank_math_title":"Analytics API Integration for Deep Links","rank_math_description":"Integrate deep link analytics via API. Query analytics data programmatically, build custom dashboards, and automate reporting.","rank_math_focus_keyword":"analytics API integration","rank_math_canonical_url":"","rank_math_facebook_title":"","rank_math_facebook_description":"","rank_math_facebook_image":"https:\/\/tolinku.com\/blog\/wp-content\/uploads\/2026\/03\/og-analytics-api-integration.png","rank_math_facebook_image_id":"","rank_math_twitter_title":"","rank_math_twitter_description":"","rank_math_twitter_image":"https:\/\/tolinku.com\/blog\/wp-content\/uploads\/2026\/03\/og-analytics-api-integration.png","footnotes":""},"categories":[14],"tags":[37,62,165,528,20,75,188,345],"class_list":["post-1794","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-analytics","tag-analytics","tag-api","tag-automation","tag-dashboards","tag-deep-linking","tag-developer-tools","tag-integration","tag-reporting"],"_links":{"self":[{"href":"https:\/\/tolinku.com\/blog\/wp-json\/wp\/v2\/posts\/1794","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/tolinku.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/tolinku.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/tolinku.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/tolinku.com\/blog\/wp-json\/wp\/v2\/comments?post=1794"}],"version-history":[{"count":2,"href":"https:\/\/tolinku.com\/blog\/wp-json\/wp\/v2\/posts\/1794\/revisions"}],"predecessor-version":[{"id":2417,"href":"https:\/\/tolinku.com\/blog\/wp-json\/wp\/v2\/posts\/1794\/revisions\/2417"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/tolinku.com\/blog\/wp-json\/wp\/v2\/media\/1793"}],"wp:attachment":[{"href":"https:\/\/tolinku.com\/blog\/wp-json\/wp\/v2\/media?parent=1794"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/tolinku.com\/blog\/wp-json\/wp\/v2\/categories?post=1794"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/tolinku.com\/blog\/wp-json\/wp\/v2\/tags?post=1794"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}