Point to a Post
Give AllyHub a post URL, a list of them, or an account, and say which comments you want and how deep to pull the replies.
Read what a post's audience actually said — the comments and the replies underneath, ready to filter and quote instead of scroll.
Turn an Instagram post's comment section into a filtered, quotable table in three steps.
Give AllyHub a post URL, a list of them, or an account, and say which comments you want and how deep to pull the replies.
Each comment comes back with its text, the author's handle and profile link, likes, reply count, timestamp, thread position, pinned status, and author-liked flag.
Filter, group, and export the set, ask a follow-up in the same run, or save it as a Playbook to re-pull after the next post.
You can scroll an Instagram comment section for an hour and still not reach the bottom — it streams in, folds replies away, and reshuffles as you go. AllyHub turns it into a table: the threads, at your chosen scale, filtered as it fetches, stamped to their source, grouped by what recurs, and exported.
AllyHub reads the top-level comments and opens the replies Instagram tucks behind a link, going as far as the page keeps loading — enough of a thread to follow, not clipped at screen one.
Point it at a single post, a list of URLs, or everything an account has published, and the comments come back in one table — no re-running the same steps for every post by hand.
Give AllyHub a keyword, a question mark, or a minimum-likes bar, and it keeps only the comments that clear it while it pulls — not a full dump you have to filter afterward.
Each comment carries its source post, comment ID, parent comment, and the time it was pulled, so a line you quote later can be traced back to exactly where it came from.
Beyond the raw rows, AllyHub clusters the comments by the points people keep making, so a handful of themes surface instead of a thousand lines to read one at a time.
Download it as CSV, JSON, or Excel — or stay in the run and ask AllyHub for a sentiment read or the brand mentions inside. The pull is a starting point, not a dead file.
The people who have to know what's in the comments — creators, brand and community leads, UX teams, agencies — without spending the afternoon there.
The pain: a post takes off and the comment section turns unreadable — the one asking for your next topic is buried past comment eight hundred. Pull the section into rows, group the repeats, and read the demand instead of scrolling it.
The pain: your product shows up in someone else's post, and the conversation happens in a comment section you neither own nor can search. Pull the comments on the posts that mention you and see what's actually being said.
The pain: the objection that kills a purchase never makes it into a survey — it gets typed under a review reel. Pull those comments and the recurring complaints line up as a list you can act on.
The pain: the recap deck is a deck of screenshots and a line saying "people seemed positive." Pull the comments with their counts and dates and hand over evidence instead of an impression.
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Answers before you pull a comment section.
An Instagram comments scraper collects the comments under a post — replies included — and lays them out as rows you can sort, filter, and quote. AllyHub adds fetch-time filters, source stamps, and theme grouping on top.
Yes — pulling one post's comments is free with the standard fields. Whole-account sweeps, deep reply expansion, fetch-time filters, scheduled re-pulls, and downstream analysis are on the paid plans.
No — and treat any tool that promises "all comments" as a red flag. Because the section keeps loading and reshuffling, AllyHub hands you a captured count with a timestamp, so you can state exactly what your sample covers.
No. Instagram's official comment API only covers posts on accounts you manage, so it's no help for studying anyone else's; AllyHub reads the public page instead, with no API key and no code.
It reads only what a logged-out visitor can see, never anything behind a private account or a login, and it doesn't build profiles on the people commenting. Results can contain personal data, so how you store and use them is your call to make.
By hand you're left with a vibe and nothing to cite. AllyHub returns the rows with counts and timestamps, groups what repeats, and — kept as a Playbook — gets faster every time you re-pull after a fresh post.