Give It a Tag
Hand over the hashtag, say Top or Recent, and name your cutoffs — minimum likes, a date range, or a caption word.
A hashtag's grid hides the numbers — pull its Top and Recent posts out where you can sort, filter, and rank them.
Go from a hashtag to a filtered, sortable table of its posts in three steps.
Hand over the hashtag, say Top or Recent, and name your cutoffs — minimum likes, a date range, or a caption word.
For every post it records the handle, caption, likes, comments, post date, media type, and post URL — one row apiece.
Group the set by theme, export to CSV, or save the run as a Playbook to re-pull the tag on a schedule and watch it move.
Open a hashtag and all you get is a grid of thumbnails; the likes, dates, and captions you'd compare on sit one tap away. AllyHub lands it as a table instead — both grids captured, every post detailed, screened while fetching, the nearby tags noted, themes clustered, and the lot exported.
AllyHub reads down the Top and Recent grids as far as the page keeps loading — take one or both — turning each post into a row, not a thumbnail to open.
Every post comes back as a full record instead of a thumbnail, so the caption, the counts, the date, and the format are all in columns you can rank — not hidden one tap deep.
Set a likes threshold, a date range, or a caption term up front, and AllyHub keeps only the matching posts as it goes — the off-target ones never enter your file.
Along with the posts, AllyHub picks up the sibling tags the page shows and the hashtag's own post count, so you learn which adjacent tags to work next, not only the one you searched.
Past the raw rows, AllyHub sorts the pull into the themes that recur, so a few angles rise out of a few hundred posts instead of a grid you keep scrolling.
Results come out as CSV or JSON, no Instagram API and no code required, so any public tag becomes a file you can sort, chart, or share.
Trend researchers, social teams, UGC and creator scouts, and analysts who want a hashtag as numbers — not a grid to skim.
The pain: you want to know what a tag is really posting, but the only move is tapping through the grid post by post. Pull both feeds into rows, sort by likes, and group the themes — the tag's shape in a glance.
The pain: a tag is where your category lives but you can't measure it, so the update is a screenshot and a hunch. Pull the tag's posts with likes and dates and report what's happening in numbers.
The pain: the posts and accounts winning under a tag are exactly what you want, but they're lost in an endless grid. Filter the pull to the most-liked posts and the creators and UGC worth reaching rise to the top.
The pain: on a rival's tag play you have only a guess about whether it's landing. Pull the tag across weeks and see if post volume and likes are climbing — a measured read, not a gut call.
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Answers before you pull a tag.
An Instagram hashtag scraper turns the posts filed under a tag into structured rows — author, likes, comments, date — rather than a grid you thumb. AllyHub filters mid-pull, surfaces the sibling tags, and clusters the recurring themes.
Yes — one tag costs nothing to pull, with the standard fields. The paid plans add volume, mid-fetch filtering, theme clustering, scheduled re-pulls, and analysis.
Either or both. Think of Top as the tag's greatest hits and Recent as its live feed — reach for Recent when you're trying to catch a tag on the way up.
Not the whole thing — Instagram doesn't publish a tag's full contents to anyone. What AllyHub gives you is a clearly bounded slice: the posts the grid served, plus a count and timestamp so you can state precisely what you pulled.
None. Skip the Instagram API and the code — AllyHub opens the public tag page like any visitor and hands back a tidy CSV or JSON.
Scrolling the grid gives you a feel and no file. AllyHub returns the posts as rows you can rank by likes and date, clusters the themes, and — as a saved Playbook — gets faster every time you re-pull the tag.