Great question! This is absolutely feasible, but there are important platform-specific rules and privacy considerations you’ll need to navigate. Let’s break this down step by step:

First off: Yes, this is achievable, but only if you strictly adhere to each platform’s API policies, user privacy requirements, and global regulations like GDPR or CCPA. These are sensitive user metrics, so you’ll need explicit, revocable consent from every user before accessing any of their data.

Let’s go through each platform you mentioned:

Instagram & Facebook #

Both are part of Meta’s ecosystem, so you’ll use the Meta Graph API for both:

• First, sign up for a Meta Developer account and create a new app.
• You’ll need to request specific user permissions (like user_insights for usage data) and pass Meta’s App Review—you’ll have to clearly explain that your app is helping users track their own screen time (Meta restricts this data for non-user-facing purposes).
• Once approved and the user grants consent, you can call endpoints like /me/instagram_insights (for Instagram) or /me/activity (for Facebook) to pull daily usage duration data.

WhatsApp #

WhatsApp doesn’t offer a public API for accessing personal user screen time data. You have two viable options here:

• Manual Export: Guide users to export their usage data directly from WhatsApp (Settings > Account > Privacy > Screen Time > Export Usage Data) and upload it to your web app for parsing.
• Mobile Companion App: If you build a companion mobile app, on Android you can use the Accessibility Service to track WhatsApp usage (with user consent), while on iOS you can leverage Apple’s Screen Time API—note that Apple strictly limits this to apps that help users manage their own screen time, and you’ll need to pass App Store review.

LinkedIn #

LinkedIn’s public APIs don’t expose personal usage duration metrics. Your best bet here is:

• Guide users to download their full data archive from LinkedIn (Settings & Privacy > How LinkedIn uses your data > Download your data). The archive includes usage statistics, which your web app can parse once uploaded by the user.

• Daily Data Refresh:
  • For platforms with API access (Meta), set up a scheduled task (e.g., using cron jobs or serverless functions) to pull fresh data at the end of each day, provided the user’s consent is still active.
  • For platforms requiring manual uploads, send gentle reminders to users to submit their daily/weekly exported data.
• Web Dashboard: Use front-end charting libraries (like Chart.js or D3.js) to visualize daily usage, average trends, and platform breakdowns. Make sure to encrypt stored user data and only display metrics to the authenticated user—never share or expose this data publicly.

内容的提问来源于stack exchange，提问作者Ankitacodes