Remember that tweet you loved six months ago—but can’t find now because it’s buried under thousands of Likes? Scrolling back for minutes (or hours) on X/Twitter is a pain we all know.
This guide solves it. You’ll learn:
- Three built-in, totally free tricks you can use right now
- A head-to-head look at the top third-party tools and what each one does best
- A lightning-fast, three-click workflow you can put to work today—no coding, no API limits, no guesswork
By the end, you’ll be able to search Twitter Likes like a pro and never lose a great tweet again.
Why Searching Your Twitter Likes Matters in 2025
- Reclaim forgotten inspiration. Your Likes are a goldmine of ideas, tutorials, and threads you once found valuable. Stop letting them disappear into the feed.
- Spy on trendsetters before the buzz hits. See what competitors, influencers, or journalists are liking to spot emerging stories early.
- Track mood or brand sentiment. Patterns in your Like history reveal personal interests—or a brand’s evolving voice—over time.
3 Native Ways to Search Likes on X/Twitter
Manual Scrolling + Browser Search
The simplest route is also the most tedious:
- Open Profile → Likes on X (Twitter).
- Scroll until the older likes you need are loaded—Twitter fetches about twenty tweets per swipe, so it takes time if you have thousands of likes.
- Press Ctrl + F on Windows or ⌘ + F on macOS and type a keyword, hashtag, or @handle.
- Your browser’s in-page search jumps to each visible match; hit Enter repeatedly to cycle through them.
Using Twitter’s Advanced Search UI
X’s advanced search panel is buried but powerful:
- Go to twitter.com/search-advanced (or click “Advanced Search” after any query).
- Under Words, fill in “These exact words,” “Any of these words,” or a phrase in quotes.
- In Accounts, put your @handle in the From these accounts field.
- Toggle Engagement or Dates to narrow further.
- Click Search and then switch to the Latest tab for a chronological list of liked tweets matching your filters.
Power Users: Search Operators in the Main Search Bar
Skip the UI entirely and paste operators straight into Twitter’s regular search box:
lessCopyEditfrom:@yourhandle filter:faves "openai tutorial"
from:@yourhandle filter:faves since:2025-01-01 until:2025-06-30Key operators
- filter:faves – limits results to your liked tweets.
- from:@handle – searches only likes by one user.
- since: / until: – date range in YYYY-MM-DD format.
Searching Twitter Likes with Third-Party Tools
Why Bother with a Third-Party Tool?
Native tricks are fine for quick checks, but third-party apps solve four pain points:
- Scale – They rip through tens of thousands of likes without rate limits.
- Speed – Full-text indexes mean sub-second results instead of endless scrolling.
- Export – One-click download to CSV/JSON/Markdown for backups or spreadsheets.
- Extras – Tagging, analytics, sentiment scores, and cross-platform workflows you simply don’t get inside Twitter.
Step-by-Step: Search Twitter Likes with ArchivlyX
- Install the extension. Grab ArchivlyX from the Chrome Web Store and pin it to your toolbar.
- Index your Likes. Click Build Archive; the add-on scrolls your Likes page in the background and stores an encrypted, local copy—no API quotas, no cloud sync.
- Run a search. Hit ⌘/Ctrl + Shift + K (default hotkey) or open the ArchivlyX panel and type any keyword, hashtag, or @handle. Results highlight matches instantly.
- Export or organize. Select all or part of the results and export to CSV, JSON, or Markdown, or drop them into AI-generated Smart Folders for automatic topic grouping.
- Keep it synced. Leave background sync on; new likes are quietly indexed so future searches stay real-time fast.
Recommended Tools to Try
- TweetBinder – Great visual reports, pay-per-report pricing.
- ExportData – Straightforward CSV dumps, minimal search features.
- ArchivlyX – On-device indexing, AI Smart Folders, full-text search, and multi-format export—no server ever sees your data.
Golden Rules for Managing and Organizing Your Twitter Likes
Rule #1 – Index Once, Search Forever
Don’t waste time re-scrolling every session. Use a tool—ArchivlyX or another—that builds a local index of your Likes. Once the index exists, every new Like is captured automatically, giving you real-time search without the rate-limit roulette.
Rule #2 – Filter Before You Scan
Even inside Twitter, always pair filter:faves with at least one extra qualifier—"keyword", min_faves:50, or a date range—so you’re digging in a bucket, not the ocean. The narrower the query, the faster the payoff.
Rule #3 – Leverage AI Smart Folders
Manual tagging dies once you cross a few hundred Likes. Let an AI sorter group tweets by topic, sentiment, or media type. ArchivlyX’s Smart Folders, for example, auto-bucket “AI News,” “Memes,” or “Design Inspiration” without a single drag-and-drop.
Rule #4 – Export Regularly, Back Up Automatically
Likes are still subject to account bans or platform glitches. Set a monthly reminder to export your archive to CSV or Markdown and stash it in cloud storage or Notion. With Automations enabled in ArchivlyX, the export can even run on a schedule.
Rule #5 – Turn Likes Into Actionable Lists
A Like is only valuable if it resurfaces when you need it. Pipe exported Likes into a Trello board, Airtable base, or read-later app so they become references, not digital attic clutter. Add a “Next Action” or “Read By” column to force follow-through.
Frequently Asked Questions
Q: Is there a way to search likes on mobile?
A: Browser search operators work in the mobile web interface. Open twitter.com in Safari/Chrome, tap the address bar, paste your operator query, and run it. Twitter’s iOS/Android app doesn’t expose advanced search, so the mobile web route is your best native option.
Q: How far back can Twitter return liked tweets?
A: Advanced Search can surface likes as far back as 2006, but only up to the point where Twitter’s result cap kicks in (often a few thousand tweets). For exhaustive archives you’ll need a third-party index.
Q: Can ArchivlyX also bulk-delete my likes once I’ve finished searching?
A: Absolutely. After you filter or keyword-search your Likes inside ArchivlyX, click Bulk Delete, review the selected tweets, and confirm. The extension throttles each request to stay under Twitter’s rate limits, so you can wipe hundreds—or thousands—of likes in one session without risking a lockout. If you need a step-by-step walkthrough, check the detailed guide on how to delete Twitter likes safely.
Q: Can ArchivlyX search my likes without API limits?
A: Yes. ArchivlyX scrolls and indexes your likes directly in the browser, so it’s immune to Twitter API quotas or future endpoint changes.
Q: How does ArchivlyX keep my like data private?
A: Everything is processed locally—your archive never leaves your device. OAuth tokens remain encrypted in the browser, and you can wipe the cache or export the data at any time.
