How to See Someone’s Likes on Instagram (Public-Data Only)

The short answer

The distinction matters: Instagram differentiates between likes ON content versus likes BY a person.

• Likes ON your content: visible. Open your post, tap the likes count, see the full list of usernames.
• Likes BY a specific person: hidden. You cannot see what posts another person has liked across the platform.

This is a deliberate privacy design. Likes are interaction signals tied to the post they touch, not to the person doing the liking.

The "Following" tab removal in 2019

For years, Instagram had a "Following" tab in the notifications section that showed you what accounts you follow had liked recently. It was a casual social-monitoring feature — let you see what your friends found interesting.

In late 2019, Instagram quietly removed this tab. Adam Mosseri (Head of Instagram) explained: "I’m not sure how many people actually loved this feature versus felt watched by it." User feedback over years had been that the Following tab created an unspoken pressure — people felt their casual likes were being broadcast to a wider audience than they realized.

So in 2019: removed. Since then, like history is fully private. No setting brings it back; no third-party tool can recreate it.

Comments are still public

Important distinction: while likes were privatized, comments remain fully public and attributed:

• Anyone can scroll to a post and see who commented.
• Anyone can tap a user’s profile and see their comment history (via comments they’ve left visible on public posts).
• Comments are searchable in some tools; like data isn’t.

If you need to understand what someone engages with publicly, comments are your real signal. They’re intentional, public, attributable engagement — the social currency of Instagram, replacing what likes used to be in the Following era.

Seeing your own like history

Instagram does let you see your OWN like history at any time:

1. Open Instagram, go to your profile.
2. Tap the three-line menu in the top-right corner.
3. Go to Settings and privacy → Your activity → Likes.

You’ll see a chronological list of every post you’ve liked. From there you can revisit them, unlike them in bulk if cleaning up, or use them as a memory archive.

This is YOUR data — only you see it. Nobody else has access. It’s the inverse of the privacy issue: your likes are visible per-post to the owner of that post, and aggregated only to you.

No third-party tool reveals others’ likes

Any service claiming to "see who they liked" is one of three scam patterns:

• Password phish: the tool asks for the target person’s Instagram login. Reality: it steals credentials.
• Fake content generator: the tool shows random posts and claims those were "liked" by the target. The data is invented.
• Survey wall: the tool shows a fake loading bar then demands a survey before "unlocking." No real data is ever delivered.

The reason none of these work: Instagram’s servers don’t serve another person’s like history to anyone — not via the public API, not via the official app, not via any side channel. There’s no data to fetch, only the illusion of fetching.

Use comments as the practical alternative

If your goal is to understand what someone engages with publicly, comments give you most of what likes used to:

• Who commented: public.
• What they said: public, can be searched in some third-party tools.
• When they commented: visible via the timestamp.
• What they replied to: visible via the parent-comment threading.

For competitive analysis, influencer research, or brand monitoring, comment data is genuinely more valuable than like data anyway — comments require more deliberate engagement, so they signal stronger interest.

Tagged photos are public signals too

Another public signal: tagged photos. If someone tagged a person in a public post, that tagged photo appears in the tagged section of the tagged person’s profile (under the small "@" tab).

This isn’t a like, but it does signal:

• Where the person physically goes or who they’re associated with.
• What content categories tag them (fashion, fitness, travel, etc.).
• Who their network of close associates is, based on who tags them.

Tagged-photo browsing is the most informational public signal Instagram surfaces, especially for influencer-marketing or relationship research.

Other aggregate signals you can read

Even without individual like data, several aggregate signals are visible:

• Like count per post. The total number is public on every post.
• Comment count per post. Public.
• Comment author list. Public — individual commenters are attributed.
• Save count. Only visible to the post owner (or via business Insights).
• Share count. Visible to owner only.

For research purposes, you can compute engagement rates, identify recurring commenters, and infer audience interests from the comment patterns — without ever needing individual like history.

Respect privacy by design

The 2019 removal wasn’t accidental. Real reasons it stays private:

• Social anxiety reduction. Knowing your likes were public made people self-censor what they liked. That hurt engagement overall and made the platform feel surveilling.
• Free browsing. Anonymous-feeling browsing encourages more time on platform, which is Instagram&rsquo>s actual business model.
• Reduced harassment vectors. Liking a post on a sensitive topic shouldn’t out you publicly.

This is a feature, not a glitch waiting to be exploited. Don’t try to work around it — you’d be working against a privacy norm that protects you too.

Legitimate research use cases

For marketers, researchers, and brand managers, "what does this account engage with publicly" is a fair question. Approach it through legitimate channels:

• Comment analysis: what does the account comment on? Reveals professional interests, personal preferences, brand affinities.
• Tagged photos: who tags them? What category of content?
• Posts they appear in: via tagged section, see what events or scenes they’re part of.
• Comment timing: when do they engage? Tells you about their daily rhythm.

This gives you 80% of the insight that the deleted Following tab provided, with full respect for privacy norms.

The "hide like counts" feature

In 2021 Instagram added a related privacy feature: users can hide the like count on their own posts. The settings:

• Per-post: when posting, tap "Advanced settings" and toggle "Hide like and view counts on this post."
• Account-wide: Settings → Privacy → Posts → "Hide Like and View Counts."

This hides the COUNT but not the underlying engagement. Anyone tapping the post can still see who liked it (a public list). The owner can still see all their analytics. Other people just don’t see the total number to compare against.

This is a separate setting from the 2019 Following-tab removal. Both reduce social pressure around likes, but in different ways.

How other platforms handle this

Worth knowing: Instagram’s privacy choice here isn’t universal across social platforms. Different platforms make different design choices:

• Twitter / X: likes are public by default, viewable per-account.
• TikTok: like-history was historically visible per-account; recently moved to private-by-default.
• YouTube: liked-videos privacy is per-account opt-in (mostly private by default).

The broader trend across major platforms is moving TOWARD private like history, not away. Instagram led the move in 2019; others have followed.

Influencer marketing context

For influencer-marketing teams: the loss of like-history data is a real research gap. You used to be able to vet a creator’s actual interest in your niche by seeing what they liked. Now you can’t.

The new vetting workflow:

• Comment history. Look at the comments they leave on industry posts — deeper signal than likes ever were.
• Tagged photos. See what brands or events tag them.
• Direct outreach with a soft ask. "Do you use X product?" gets a direct answer instead of inferring from likes.

This is actually a higher-quality research workflow — you’re reading public deliberate engagement instead of casual passive likes.

The history behind the 2019 change

Some context for why Instagram made this change: the Following tab had been around since 2011 and was originally seen as a useful discovery feature. But by 2018-2019, user behavior research consistently surfaced issues:

• Self-censorship: users hesitating to like content because they knew it would broadcast.
• Surveillance feeling: "I keep liking my ex’s posts and now everyone in our friend group knows."
• Drama generation: arguments based on whose post someone liked instead of someone else’s.
• Diminished returns: the discovery utility decreased as more people had hundreds of follows and the feed became overwhelming.

Removing it was a clear win for the platform’s health metrics and user satisfaction scores. Instagram has rarely reversed privacy-strengthening decisions, so this one is essentially permanent.

Building a research workflow without like data

For anyone seriously researching Instagram accounts (marketing, journalism, brand monitoring), the post-2019 toolkit:

• Comments database. Scrape (within ToS) or manually note who comments on relevant industry posts. This builds your "engaged audience" map for any niche.
• Tagged-photo analysis. Where is the person tagged? Reveals their physical or social associations.
• Cross-platform corroboration. Check what they post about on Twitter / TikTok / LinkedIn — like data on other platforms might still be partially public.
• Engagement rate per post. Aggregate signals that reveal what content does well, even without individual like data.
• Story view lists. If you have story access, viewer lists do still show names — one of the few remaining personal engagement signals.

The methodology shift: from passive monitoring (was easy with the Following tab) to active inference (slower but more rigorous).

The verdict

The complete picture in one line: your likes on posts are visible to those posts’ owners; your full like history is visible only to you; other people’s like history is invisible to anyone except themselves.

This privacy design is now 6 years old and unlikely to ever change. Build your research workflows on the public signals that DO exist (comments, tags, engagement counts) instead of chasing data that was deliberately hidden. The accounts that operate within these boundaries deliver better research because they’re reading deliberate public signals rather than chasing leaked private ones.

The accounts that built research workflows around the Following tab in 2018 had to rebuild after the 2019 removal. The accounts that built them around comment + tag data didn’t have to change anything — their workflow was already privacy-respecting. Build for the privacy floor, not the privacy ceiling, and your tooling survives every platform change.

Related guides

• Do Instagram profile views show? — the matching debunk for visit tracking.
• Profile analytics explained — the public data that IS available.
• How to spot a fake account — using comment patterns as a signal.
• Can someone see I viewed their highlight? — another privacy-mechanic deep dive.
• Anonymous viewer playbook — broader privacy context.