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TweetExporter turns any public Twitter/X data into a clean spreadsheet. Export follower and following lists, a profile's tweets, or every tweet matching a search query and date range. Download as CSV, Excel or JSON. Buy credits once and pay per row

Which is more popular?
Website, pricing, platforms and company facts side by side.
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|---|---|---|
| Website | layerapp.co | tweetexporter.com |
| Pricing | ||
| Company | — | Startup from the United States |
| Listed in |
What each product offers, as listed by its team.


Possible disadvantages
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Overall verdict
Why this product is good
Recommended for
UI/UX designers, product teams, design agencies, and anyone involved in the collaborative process of developing digital interfaces and applications.
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Frames and TweetExporter.
TweetExporter's answer:
TweetExporter is built for one-off exports, not subscriptions. Most Twitter/X data tools lock exports behind a monthly plan you'll use twice. TweetExporter charges per exported row from a prepaid credit balance: you see a cost estimate before ordering, you pay only for rows actually delivered, and unused credits never expire. No API keys, no developer account, no recurring bill.
TweetExporter's answer:
Because you probably don't need a subscription — you need one clean spreadsheet. Competitors like Circleboom or TweetBinder are monthly-plan suites; TweetExporter does the export and gets out of your way. You get honest pricing (charged only for delivered rows, the rest refunded to your balance), large exports handled properly (chunked Excel/CSV/JSON, zipped), and 50 free credits to test it without a credit card.
TweetExporter's answer:
Marketers and community managers auditing an audience, researchers and journalists collecting tweet datasets for analysis, OSINT analysts, and founders sizing up a competitor's followers. In short: anyone who needs public X data in a spreadsheet occasionally — not as a monthly workflow.
Share your experience with using Frames and TweetExporter. For example, how are they different and which one is better?
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