How to Export TikTok Data to a Spreadsheet (CSV/Excel)

To export TikTok data to a spreadsheet, you have three real options: copy numbers by hand, hire or become a developer, or use a browser extension that does it in a few clicks. FeedRama takes the third route — sort any public TikTok profile inside Chrome, select the videos you want, and export a CSV with views, likes, comments, shares, saves, dates, captions, and even transcripts. The file opens straight in Excel or Google Sheets.

Below we compare all three approaches honestly, walk through the extension workflow step by step, and cover what to actually do with the data once it's in a sheet.

Why TikTok won't do this for you

TikTok does have analytics — but only for your own account, through its creator tools. The moment your question involves anyone else's content ("what are my competitor's ten biggest videos this quarter?"), the native tooling goes silent. There's no export button on a public profile, and view counts live behind a grid you can only eyeball.

That gap is why people end up with screenshots pasted into slides and numbers typed into Excel by hand — workable at five videos, miserable at fifty, and stale the moment you finish.

There's also a practical reason to want CSV specifically: spreadsheets are where the rest of your reporting already lives. Client decks, channel dashboards, quarterly reviews — they all start in Excel or Google Sheets, so a TikTok dataset that lands there natively saves the reformatting step every other method leaves you with.

Three ways to get TikTok data into a spreadsheet

Developer platforms like Apify are genuinely powerful — pay-per-usage scrapers that can collect at serious scale — but they ask you to configure actors, handle output formats, and watch costs grow with volume. If your job is marketing research rather than data engineering, that's overhead you don't need. We compare the options in more depth in How to Scrape TikTok Data Without Coding.

Export a TikTok profile to CSV, step by step

1. Install FeedRama. It's a free extension for desktop Chrome — grab it from the Chrome Web Store. No account required to start.
2. Open the profile on tiktok.com. Any public account works — a competitor, a creator you're studying, or your own.
3. Sort the feed. Use FeedRama's sort control to rank the videos by views, likes, comments, shares, or date. Sorting doubles as a preview of your dataset: what you see is what exports.
4. Select the videos. After sorting, tick the ones you want — the top 20, a date range, or the whole visible set.
5. Click Export CSV. The file downloads immediately and opens in Excel, Google Sheets, or anything else that reads CSV.

Two honest notes: CSV export is a Pro feature ($10/month, or $5/month billed annually), while sorting is free with a range cap of the previous 25 posts or one week. And everything happens in desktop Chrome — there's no mobile version.

What lands in the file

Each row is one video, with columns for:

• URL — a permanent link back to the video
• Creation date — for cadence and trend analysis
• Views, likes, comments, shares, saves — the full engagement picture, not just one vanity number
• Caption — hooks and hashtags, ready for text analysis
• Transcript — if you've run the video through FeedRama's TikTok transcription, the spoken content comes along in its own column

That last column is easy to underestimate. A spreadsheet where you can Ctrl+F across the spoken words of a competitor's last hundred videos answers questions no view-count column can.

The export also plays nicely with FeedRama's other bulk actions. Because you select videos once, you can send the same set to download, transcription, and CSV in a single pass — files for reference, transcripts for analysis, metrics for the sheet — without re-selecting anything between steps.

Five minutes of spreadsheet work that pays off

Once the CSV is open, a few quick moves turn raw numbers into decisions:

• Engagement rate column. Add (likes + comments + shares) / views and sort by it — high-view videos with weak engagement often signal paid pushes or one-off flukes.
• Pivot by month. Group views by creation month to see whether an account is accelerating or fading.
• Outlier flagging. Compute the account's median views, then filter for videos above 3x the median. That shortlist is the content worth watching in full.

Here's how that plays out in practice. Say you export a competitor's last 25 videos and the engagement-rate column shows their tutorials consistently doubling the rate of their vlogs — even though the vlogs pull more raw views. That's a strategy insight you would never spot scrolling the grid: reach was hiding where the audience actually leans in. Ten minutes in a pivot table routinely produces two or three findings of that size.

If you're tracking several competitors over time, re-export monthly into the same workbook and chart the deltas — the setup we describe in How to Track Competitor Engagement in a Spreadsheet. Academic users collecting larger, citation-ready datasets should also read How to Collect TikTok Data for Academic and Market Research.

A word on fair use of public data

Everything FeedRama exports is data TikTok already shows any visitor — public videos and their public counters. Using it for analysis, research, and strategy is standard practice. What you shouldn't do is repost creators' videos as your own, or attempt to gather anything from private accounts. The same standard applies to transcripts: quoting a line in your analysis is normal practice, republishing someone's full script as your own work is not. Analyze freely; republish only with permission and credit.

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