Threads scraper: niche posts with metrics and a “took off” marker Soon

To work out what to publish, you first need to see what already worked for others in your niche. This tool collects Threads posts for your keywords with likes, replies and reposts, then marks the ones that clearly outperformed a typical post in that same result set.

What you get in the file

columns from the tool “Threads: niche posts”
Текст постаLikesКомментарииRepostsЦитированияDate postedВозраст, дней
An Excel file with links in a separate column and a KPI sheet. The rows will be yours — only the headers are shown here.

What it will do

How it works

Point at a profile or keyword
Paste a Threads profile link or set the topic keywords.
Choose what to collect
Post text, likes, comments, reposts, quotes, date and a direct link.
Run the collection
Data is read from open publications; no account of your own required.
Download the Excel file
A table with texts and engagement metrics, links clickable.
Join the waitlist — we'll tell you when it launches See available tools

FAQ

How many posts come from one keyword?
Around a hundred, and that ceiling belongs to the platform, not to us: a single request returns about twenty posts, after which results repeat. Volume therefore comes from the number of keywords: twenty keywords yield roughly two thousand posts. The task status states how many were collected and where results ran dry.
Why is there no reach or impressions filter?
Because the reach of someone else's post is available to nobody but its author: it is owner-only data, and the platform does not expose it through any interface. We do not put a setting in the form that does nothing. You can filter by likes, replies and reposts — those always arrive.
What does “took off” mean if a post has only 40 likes?
That it sits in the top ten percent of its result set and is at least five times more engaging than a typical post for that keyword. Niches differ in scale: in one a typical post collects fifteen hundred likes, in another ninety. An absolute threshold would show everything in the first and nothing in the second.
Are non-English posts collected?
Yes, and language detection is honest: the platform almost never reports a post's language, so we infer it from the text. We tell Russian and English apart confidently and label everything else as “Latin script” rather than passing it off as English.
Does this cost extra?
No, the tool is included in the subscription along with every other source.

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