Instagram Active Hours & Best Time to Post Analyzer

Find the best time to post on Instagram for any public account. Enter a username and get a day-by-hour heatmap of when the account posts, which time slots earn the most engagement, quiet (likely-asleep) hours, and an estimate of the account's time zone — no login or cookies required.

What you get

• Best times to post — the day+hour slots where the account's posts earn the highest average engagement (likes + comments, plus plays for Reels)
• Day-by-hour heatmap — a 7×24 grid showing how many posts and Reels land in each hour of each weekday, in both the account's local time and UTC
• Engagement heatmap — average engagement per post for every day+hour slot
• Most active day and hour — the single peak weekday and hour
• Quiet hours — the hours with little or no activity (the account's likely offline/sleep window)
• Estimated time zone — auto-detected from the quietest posting window, with a confidence rating (or supply your own)
• Weekday vs. weekend split — what share of posting falls on weekdays vs. weekends
• Export to JSON, CSV, or Google Sheets directly from the Apify console

Use cases

• Best time to post — schedule your own content for the slots where a top account in your niche gets the most engagement
• Content calendar planning — build a posting schedule backed by real engagement data, not generic "post at 9am" advice
• Audience and competitor research — understand a creator's or brand's posting rhythm and when their audience responds
• Influencer vetting — spot accounts that post on a flat, automated schedule vs. organic human activity
• Time-zone inference — estimate where in the world an account is based

How it works

The analyzer samples the account's most recent posts and Reels and buckets every timestamp by weekday and hour. Posting time shows when the account is active; per-slot average engagement shows when its audience responds best. The time zone is inferred from the circadian dip — the multi-hour window when the account posts least (its local night) — and you can always override it.

Note: this reflects posting activity, not real-time presence. Scheduled/automated posts can flatten the pattern — which itself shows up as a "low confidence" time-zone estimate.

How to use

1. Enter the Instagram username (with or without @; profile URLs work too)
2. Set Posts to Analyze (default 500; more samples = a sharper pattern)
3. Optionally set a Time Zone Offset (e.g. -5, 1, 5.5) to skip auto-detection
4. Run the actor — the report appears in the Dataset tab

Output format

A single record per run:

{
  "username": "natgeo",
  "platform": "instagram",
  "postsAnalyzed": 500,
  "timeRange": { "earliest": "2025-08-01T...", "latest": "2026-06-09T...", "spanDays": 312 },
  "timezone": { "mode": "inferred", "offsetHours": -5, "label": "UTC-5", "confidence": "high", "note": "..." },
  "mostActiveDay": "Tuesday",
  "mostActiveHour": "13:00",
  "quietHours": ["02:00", "03:00", "04:00", "05:00"],
  "weekdayShare": 0.74,
  "weekendShare": 0.26,
  "engagementMetric": "likes + comments (+ Reel plays where exposed)",
  "avgEngagementPerPost": 48211,
  "bestTimesToPost": [{ "day": "Friday", "hour": "16:00", "posts": 9, "share": 0.018, "avgEngagement": 112480 }],
  "topSlotsByPosts": [{ "day": "Tuesday", "hour": "13:00", "posts": 14, "share": 0.028, "avgEngagement": 51730 }],
  "hourHistogram": [/* 24 counts, local */],
  "dayHistogram": [/* 7 counts, Monday-first */],
  "avgEngagementByHour": [/* 24 averages, local */],
  "avgEngagementByDay": [/* 7 averages, Monday-first */],
  "dayNames": ["Monday", "...", "Sunday"],
  "heatmap": { "Monday": [/* 24 */], "...": [] },
  "heatmapUtc": { "Monday": [/* 24 */], "...": [] },
  "engagementHeatmap": { "Monday": [/* 24 */], "...": [] }
}

Build a visual heatmap straight from heatmap or engagementHeatmap, or chart hourHistogram / avgEngagementByHour for a quick view.