Name a Hashtag
Name a hashtag and pick the top or recent feed, plus the filters that matter — a play floor, a date range, or a word in the caption.
Track what a hashtag is posting — its videos sortable by plays, filterable, and ready to export.
Turn any TikTok tag into a sortable, filtered video table in three steps.
Name a hashtag and pick the top or recent feed, plus the filters that matter — a play floor, a date range, or a word in the caption.
For each video it captures the author handle, caption, plays, likes, comments, shares, post date, sound, and video URL — one row apiece.
Group the set by subject, export to CSV, or save the run as a Playbook to re-pull the tag on a schedule and watch it move.
A TikTok tag page shows the videos but sorts none of them — the counts you'd rank by scroll past with the thumbnails. AllyHub reads the feed into a table instead: the videos, each one's record, filtered as it fetches, the related tags, grouped by subject, and exported.
AllyHub works down the tag's feed as far as the page keeps serving — top feed or recent, your choice — landing each video in view as a row instead of another thumb-scroll.
Each video comes back with its author, caption, play count, likes, comments, shares, post date, and sound — the numbers you'd rank a tag by, in columns instead of on a thumbnail.
Give AllyHub a play floor, a date window, or a caption keyword, and only the videos that match come through as it pulls — you skip sifting the whole wall afterward.
Alongside the videos, AllyHub picks up the related tags the page lists and the tag's own scale, so you see which neighbouring hashtags to chase next, not just the one you typed.
Beyond the rows, AllyHub groups the pull by the subjects that keep coming up, so a handful of angles surface from a few hundred videos instead of one long feed to watch.
The set exports to CSV or JSON with no TikTok API and no code — the tag's videos in a file you can sort, chart, or hand off, from any public hashtag you can open.
For trend researchers, brand and social teams, talent and product scouts, and analysts who need to read a hashtag, not scroll it.
The pain: you want to know what a hashtag is really posting, but all you can do is keep scrolling the tag and eyeballing it. Pull the feed into rows, sort by plays, and group the subjects — the shape of the tag in a glance.
The pain: a hashtag is your battleground but you can't put numbers on it, so reporting is a screenshot and a guess. Pull the tag's videos with their counts and dates and show what's happening, measured.
The pain: the creators and products climbing under a tag are exactly who you want, but they're mixed into an endless feed. Filter the pull to high-play videos and the accounts worth contacting rise to the top.
The pain: all you have on a rival's hashtag bet is a hunch about whether it's working. Pull the tag over time and read whether volume and plays are climbing — a schedule, not a scroll.
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Answers before you pull a tag.
A TikTok hashtag scraper collects the videos posted under a tag — with each one's author, counts, and date — as a table instead of an endless feed. AllyHub filters as it pulls, adds the related tags, and groups what recurs.
Yes — your first tag pull is on the house, standard fields included. The paid tiers unlock volume, fetch-time filtering, subject clusters, scheduled re-pulls, and the analysis step.
Both — pull the top feed or the recent feed, whichever fits. Top surfaces the videos the tag is known for; recent shows what's being posted right now, useful for catching a tag on the way up.
No — a busy tag has no bottom, and any tool vowing to grab "all videos" is overselling. AllyHub pulls down the feed and records how many it got plus the run time, so your sample is a known quantity.
No. There's no TikTok API to apply for and nothing to script — AllyHub reads the public tag page the way you would and returns a clean CSV or JSON.
Scrolling leaves you with an impression and nothing to keep. AllyHub returns the videos as sortable rows with counts and dates, groups the subjects, and — saved as a Playbook — gets faster every time you re-pull the tag.