Can you delete several tweets at once on Twitter?
Not through X itself, which only offers one-by-one deletion. Circleboom deletes selected tweets, retweets, and replies on X in a single filtered batch through official X Enterprise APIs, so a group defined by date, keyword, engagement, or media type goes in one confirmed run.
→ delete several tweets at once
The gap people hit is not between deleting one tweet and deleting everything. It is the middle: removing a specific group of forty, or four hundred, while the rest of the timeline stays exactly where it is.
Why X has no multi-select
X's interface deletes posts individually. There is no checkbox column, no shift-click range, no select-all on a filtered view.
That design makes sense from the platform's side. Deletion is permanent, and a multi-select control on a permanent action is a support problem waiting to happen. From your side it means any batch operation has to be expressed as a rule rather than as a selection.
The distinction matters more than it sounds. Selecting is manual, which means it scales linearly with how many posts you want gone. A rule does not: "every retweet from 2019" is the same amount of work to write whether it matches nine posts or nine hundred.
So the real question is never "how do I select several tweets." It is "what do the tweets I want gone have in common?"
Usually the answer is one of four things: when they were posted, what words they contain, how they performed, or whether they carried media.
Once you can name the shared property, you can delete tweets in bulk on X in a single pass rather than hunting for them individually. The rule does the selecting.
Text-only batches are a good example of how specific this can get. If the group you want gone is every post without an image, how to delete all text tweets shows that shape of rule in practice.
Bulk deletion is a filtering problem wearing a selection problem's clothes.
The overview in delete low-engagement tweets on mobile walks the same ground from the tooling side if you want the comparison before the mechanics.
The four rules that cover most batches
Almost every real cleanup reduces to one of these, or to two of them combined.
Date range. The most common by far, because most reasons for deleting come with a boundary attached. A job change, a rebrand, the end of a campaign, the year you would rather not have indexed.
Keyword, hashtag, or mention. For content that is scattered across years rather than clustered in a period. A retired product name, a former handle you were tagging, a campaign tag, an account you no longer want to be publicly associated with.
Engagement thresholds. Minimum and maximum like and retweet counts. Useful in both directions: clearing posts nobody engaged with, or clearing a high-performing post that has aged badly.
Media presence. Posts with images, video, or GIFs, or posts without any. This is the rule people reach for when the concern is photographs rather than text.
Combining two narrows sharply. Retweets only, from before 2021, containing a specific word, is a rule that might match thirty posts out of twenty thousand and is a single run either way.
For the performance-based version specifically, how to mass delete tweets based on popularity covers where engagement thresholds do and do not work well.
Recent posts versus deep history
One boundary decides which route you need, and it is not about the number of posts.
X's API returns your most recent 3,200 posts. If everything you want gone sits inside that window, a direct route works and you can skip the archive entirely. If any of it is older, the archive is the only way to reach it.
Most people underestimate which side of the line they are on. An account posting a few times a day crosses 3,200 in under three years, so anything from a previous job or a previous version of the brand is almost always outside the window.
The practical test takes ten seconds. Look at your profile's post count. If it is comfortably under 3,200, the recent route covers everything. If it is 12,000, then roughly three quarters of your history is unreachable without the archive file.
X generates that archive on request and usually delivers it in 24 to 48 hours. It contains the complete record regardless of age or volume.
The year-by-year framing in delete all my tweets is a useful way to think about scoping a deep cleanup before you start.
How to delete several tweets at once on Twitter
To delete several tweets at once, upload your X archive to Circleboom and choose which post types are in scope. Apply the filter that describes the group you want gone, protect any exceptions, then confirm against the count shown before the run. The filter is the selection, and the count is the proof it matched what you meant.
Six actions, grouped so the rule is written before anything is spent.
Load the full set
- Log in to Circleboom Twitter and connect the X account you are cleaning up.

- Request your archive from X if the batch reaches past the recent window, then keep the downloaded file somewhere safe as your only permanent record.

- Upload the
tweet.jsfile from inside the archive folder. Not the full ZIP, and it has to come from the account on your subscription.
Write the rule and check it
- Choose post types. Tweets, retweets, and replies are independently selectable and all three are on by default, so uncheck whatever should survive.
- Apply the filter that matches your batch. Date range, keyword or hashtag, like and retweet thresholds, language, or media presence. Combine two when one leaves the set too broad.
- Protect exceptions, then read the count in the Approve and Delete panel before confirming. It breaks down exactly how many tweets, retweets, and replies will go.
That order holds up because it moves from widest to narrowest, and each step is reversible until the last one. The archive keeps the record, the filter states the rule explicitly, and the count is the final cheap moment to notice a scope error before it becomes permanent.
One behavior makes cautious work easy: re-uploading the same file for a second pass skips anything already deleted. Running four small, well-understood batches instead of one large uncertain one costs nothing extra.
Short demo: how a single filter turns a scattered group of posts into one reviewed batch deletion.
Read the count before you confirm
The confirmation number is the single most useful thing on the screen, and it is the thing people skim past.
It is a direct test of whether your rule says what you think it says. If you expected around fifty posts and the panel reports 3,400, the filter is broader than you intended, and finding that out now costs nothing. Finding it out afterwards costs your archive.
The most common cause of a surprise number is post types. All three are selected by default, so a date filter aimed at your own original posts will quietly include every retweet and reply from the same period unless you unchecked them.
The second most common is inclusive date boundaries. Start and end dates both count, so a range ending on a launch date includes that day's posts. When the boundary is tied to a specific event, check a few posts on either side before you commit.
Language is worth a look too. Detection comes from the post's own settings, and undefined shows up for posts without text, which means a language filter can behave unexpectedly on image-only posts. The delete tweets by language route handles multilingual accounts more predictably than trying to approximate language through keywords.
A count that surprises you is the filter telling you something true. Stop and read it.
Why several small batches beat one large one
The instinct with a big cleanup is to write one comprehensive rule and run it once. Splitting it into passes is almost always better, for reasons that have nothing to do with caution for its own sake.
A single broad rule is hard to verify. When a filter matches nine thousand posts across six years and four different concerns, the count tells you very little, because you have no expectation to compare it against. You are reduced to trusting that the rule was right.
Narrow rules come with predictions. "Retweets from 2019" is something you can estimate before you run it, which means the count either confirms your understanding or contradicts it. That feedback is the whole value, and a broad rule throws it away.
Passes also isolate mistakes. If one of four batches turns out to have been wrong, you know exactly which posts it touched and can reason about the damage. If a single all-encompassing run was wrong, the blast radius is your entire history.
What a sensible split looks like
The natural seams are usually the reasons themselves rather than arbitrary chunks of time.
- One pass for a closed period, such as a former job or an old brand.
- One pass for a scattered keyword, such as a retired product name.
- One pass for media, when photos are the specific worry.
- One pass for engagement, clearing posts that never landed.
Each is a sentence you could defend to somebody else, which is the test that matters. Running them separately also means you can stop after two, look at what the profile now shows, and decide whether the rest is still necessary. Quite often it is not, because the thing that was actually bothering you turns out to have been the first batch.
Re-uploading the same archive between passes costs nothing and skips whatever is already gone, so the only price of working slowly is time you were going to spend anyway.
Four rules you can predict beat one rule you can only hope about.
What deletion does not reach
Circleboom is an official X Enterprise Developer company, which is why a batch operation runs through authorized access rather than browser automation. It also frames what deletion can and cannot do.
Removing your post removes your copy. Quote tweets, replies, and screenshots belong to the accounts that made them, and those stay. X's own guidance on deleting posts covers what removal means at the platform level.
Deletion is also permanent. There is no trash, no undo, and no recovery path, which is why the downloaded archive is not optional for anything beyond a trivial cleanup.
Old posts are worth a moment's thought before a rule sweeps them up:
- Customer answers that still explain an undocumented policy.
- Announcements that anchor a public timeline.
- Threads other people cite and link to.
Protect those explicitly, then run the rule over everything else.
When images rather than text are the concern, delete all Twitter media is the cleaner match. Catching photo posts through keywords fails on anything captionless.
Define the group, then run it once
Deleting several tweets at once is straightforward as soon as you stop thinking in selections. Name what the batch has in common, express it as a filter, protect the exceptions, and read the count.
Work in passes if the scope is large. Four small batches you understand beat one large one you are hoping about.
→ start a filtered tweet cleanup
Questions about batch tweet deletion
Can I delete several tweets at once without deleting everything?
Yes. Filters define the batch, so a date range, keyword, engagement threshold, or media condition removes only the matching group and leaves the rest untouched.
How many tweets can go in one batch?
There is no fixed cap. The batch is whatever your filter matches, and larger runs simply take longer while rate limits are respected.
Can I keep specific tweets inside a matching batch?
Yes. Add them to the Protect List and they are excluded even though the filter matches them.
Do I need the archive for a small recent cleanup?
Not if everything sits inside your most recent 3,200 posts. The archive is what unlocks anything older than that window.
Can I undo a batch deletion?
No. Deletion is permanent, which is why the downloaded archive and the confirmation count both matter before you run it.