Instagram Hashtag Analytics

Analyze any Instagram hashtag: how many posts use it, which hashtags travel with it, how much engagement it draws, what formats dominate, and who posts it — one analytics row per hashtag.

No login, no cookies.

Input	Output
coffee	one analytics row: total posts, related tags, engagement, media mix, top posters
#travel	same, for travel
a non-existent tag	an error row naming it, not charged

Pure HTTP. No browser, no login, no cookies.

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Why Use This Scraper?

A raw dump of hashtag posts tells you little on its own. This turns a sample of a hashtag's live posts into the numbers a marketer or researcher actually asks for: which related hashtags to add, what engagement to expect, whether the tag skews to reels or photos, and how active it is by day.

Every figure is computed from the sample the run actually fetched — never extrapolated — and the sample size is reported next to it, so nothing claims more than it measured.

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How It Works

For each hashtag the Actor reads Instagram's total post count, then samples the tag's Top posts and reels over plain HTTP. It parses every sampled caption for co-occurring hashtags, tallies engagement, breaks the sample down by media type and by day, and ranks the accounts posting most often under the tag. The result is one flat analytics row per hashtag.

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Input

Field	Type	Required	Notes
hashtags	array	Yes	Tags to analyze. Bare names, #tags, or explore URLs.
sampleSize	integer	No	Posts sampled per hashtag. Default 100, max 300. Larger = steadier figures, more time.
includeTopPosts	boolean	No	Sample Top-ranked posts. On by default.
includeLatestPosts	boolean	No	Sample reels. On by default.

Example input

{ "hashtags": ["travel", "#coffee"], "sampleSize": 100 }

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Output Schema

One row per hashtag:

{
  "hashtag": "coffee",
  "mediaCount": 185060851,          // Instagram's own total post count for the tag
  "sampleSize": 50,                 // posts actually analyzed
  "engagement": {
    "avgLikes": 1310, "medianLikes": 622,
    "avgComments": 23, "medianComments": 8,
    "maxLikes": 12185, "avgEngagement": 1333
  },
  "mediaTypeBreakdown": { "video": 40, "carousel": 7, "photo": 3 },
  "postsPerDay": [ { "date": "2026-08-27", "posts": 18 } ],
  "topRelatedHashtags": [
    { "hashtag": "cafe", "coOccurrences": 5, "postShare": 0.1, "frequency": "average" }
  ],
  "topPosters": [ { "username": "pourology_andres", "posts": 2 } ],
  "topPosts": [ /* the highest-engagement sampled posts, with caption and counts */ ],
  "scrapedAt": "2026-08-28T20:31:00.000Z"
}

Field	Notes
mediaCount	Instagram's total post count for the tag — the reach signal.
topRelatedHashtags	Tags co-occurring in sampled captions, ranked by count and classified frequent (≥25% of posts), average (≥8%), or rare.
engagement	Average and median likes/comments across the sample, plus a combined engagement proxy.
postsPerDay	How the sampled posts spread across dates — a freshness/velocity signal.

A note on the sample

Instagram's Top and Reels lists are ranked and shallow, so a hashtag's reachable window is recent (often the last few days) and a very large sampleSize stops early. The analytics describe that live sample, and sampleSize always says how many posts it covered.

Error rows

error	Meaning	Charged
invalid_hashtag	Not a usable tag. No request spent.	No
hashtag_not_found / hashtag_empty	Instagram has no public posts for the tag.	No
no_posts_returned	The tag has posts but served none to sample.	No

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Analytics vs a Raw Hashtag Scraper

A hashtag post scraper hands you a list of posts and leaves the maths to you. This Actor does the aggregation — one row you can read at a glance or drop straight into a sheet.

What you get	Raw hashtag scraper	This Actor
Individual posts	yes, every one	a topPosts sample by engagement
Total post count for the tag	sometimes	yes, mediaCount
Related hashtags, ranked & classified	no, parse captions yourself	yes, frequent/average/rare
Engagement stats (avg + median likes/comments)	no, compute yourself	yes
Media-type mix (video/photo/carousel)	no	yes
Posts-per-day activity	no	yes
Top posters under the tag	no	yes
One flat row per hashtag	no, many post rows	yes
Empty/missing tag named, not charged	rarely	yes

Want the full post list instead of the analytics summary? Use the sibling Instagram Hashtag Scraper. Want both? Run them side by side — same data source, no login on either.

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Pricing

Pay per event — you are charged for analytics rows, never for the empty or missing tags that come back as error rows.

Event	When it fires	Rate
Actor start	Once per run	$0.001
Hashtag analyzed	Each hashtag that produced an analytics row	from $0.0014

A hashtag that is invalid, not found, empty, or serves no posts to sample is returned as an error row and is not charged. Duplicate tags in one list collapse to a single lookup.

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FAQ

Do I need an Instagram account, login, or cookies? No. Only public data is read, the same as any logged-out visitor sees.

Where do related hashtags come from? From the captions of the sampled posts — the tags real posters used alongside yours — counted and classified by how often they appear.

Do I get the individual posts too? The highest-engagement sampled posts are included under topPosts with their captions and counts. For the full post list, use the Instagram Hashtag Scraper instead.

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🤖 For AI Agents & LLM Apps

Purpose: turn an Instagram hashtag into one flat analytics row — total post count, related hashtags, engagement stats, media-type mix, posting activity, top posters and top posts. Give it tags, get aggregates, not a post dump.

Minimal tested input:

{ "hashtags": ["travel", "#coffee"], "sampleSize": 100 }

Output fields (one row per hashtag): hashtag, mediaCount, sampleSize, engagement (avgLikes, medianLikes, avgComments, medianComments, maxLikes, avgEngagement), mediaTypeBreakdown, postsPerDay[], topRelatedHashtags[] (hashtag, coOccurrences, postShare, frequency), topPosters[] (username, posts), topPosts[], scrapedAt.

Error rows carry hashtag + error + message and no analytics fields. Branch on the presence of error. Values: invalid_hashtag, hashtag_not_found, hashtag_empty, no_posts_returned.

Billing: one hashtag-analyzed event per analytics row delivered, plus one actor start. Error rows are not charged. Duplicate tags are deduplicated before billing.

Behaviour worth knowing: input accepts bare names, #tags and explore URLs interchangeably; every figure is computed from the sample actually fetched (sampleSize), never extrapolated to the whole tag; Instagram's ranked lists are shallow, so a very large sampleSize stops early; an empty run fails loudly unless every requested tag was confirmed empty or non-existent.

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⚠️ Disclaimer

This Actor reads only publicly available information from Instagram — the same data any logged-out visitor can see. It does not log in, use cookies, or access private accounts. You are responsible for using the output in line with Instagram's terms and applicable data protection law.

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SEO Keywords

instagram hashtag analytics, related hashtags, hashtag research tool, instagram hashtag stats, hashtag engagement, co-occurring hashtags, instagram hashtag reach, hashtag generator data, instagram trend analysis, hashtag co-occurrence