Instagram Post Intelligence — Early Commenters & Bot Signals avatar

Instagram Post Intelligence — Early Commenters & Bot Signals

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$5.00 / 1,000 post intel reports

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Instagram Post Intelligence — Early Commenters & Bot Signals

Instagram Post Intelligence — Early Commenters & Bot Signals

See WHO COMMENTED FIRST on any Instagram post — usernames, timestamps, texts. Bot-pattern heuristics (burst timing, emoji-only ratio, repeat commenters). Zero login, zero cookies, anti-detect engine.

Pricing

$5.00 / 1,000 post intel reports

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🕵️ Instagram Post Intelligence — Early Commenters & Spread Signals

Deep-dive intelligence for any Instagram post — without login and without cookies. Powered by the Ghostfox anti-detect browser engine.

🔍 What you get per post

Engagement (exact, live numbers):

  • Exact likes & total comments (via embed enrichment)

Early commenter sample:

  • Visible commenters with usernames, relative timestamps (3 s, 10 s, 4 h) and comment text
  • Captured in display order — the sample Instagram shows to logged-out visitors

Caption intelligence:

  • Full caption + all @mentions (credit/tag chain extraction)

Spread & bot-pattern heuristics (honestly labeled as heuristics):

  • median_comment_gap_sec — comments arriving in second-level bursts suggest coordinated activity
  • emoji_only_ratio — majority emoji-only comments suggest low-effort/paid engagement
  • repeat_commenters — same users commenting repeatedly in a small sample
  • comments_per_like — abnormally high ratio suggests comment-buys
  • Combined bot_signal: low / medium / high with human-readable signal_notes

💰 Pricing

$5.00 per 1,000 analyzed posts — each result is a full intelligence dossier.

⚙️ Input

FieldDescription
postUrlsInstagram post URLs or shortcodes (required)
maxCommentsMax visible comments to capture per post (default 20)
scrollForCommentsScroll to load more visible comments (default true)
proxyOptional proxy URL — recommended for jobs with many posts

📊 Sample output

{
"item_type": "post_intel",
"shortcode": "De4ydmnAMes",
"author_username": "cristiano",
"posted_at": "4 h",
"caption": "71 years of passion. Happy birthday, Al Nassr! 🟡🔵",
"mentions": [],
"likes": 1493180,
"comments": 15468,
"early_commenters": [
{"username": "sadegh_lazemi7", "time_ago": "3 s", "text": "😍😍😍"},
{"username": "ghazale.7.7", "time_ago": "3 s", "text": "❤️"}
],
"commenter_count": 8,
"median_comment_gap_sec": 7,
"emoji_only_ratio": 0.65,
"bot_signal": "medium",
"signal_notes": ["65% emoji-only comments"]
}

🔬 How it works

  1. The post page loads through the anti-detect engine (coherent fingerprint, invisible capture).
  2. Visible comments (logged-out sample) are extracted positionally — usernames, relative timestamps, text.
  3. Exact engagement comes from the embed endpoint (public, no login).
  4. Heuristics are computed over the sample and honestly reported — a sample, not the full comment tree (full pagination requires login).

⚠️ Notes

  • Comment capture is the visible logged-out sample — for viral posts this skews to recent comments. The heuristics account for this.
  • For heavy jobs, bring a residential proxy in the proxy field.