Open a channel's Videos tab and DataLens turns the video grid into a spreadsheet: title, video link, duration, view count and publish time, one row per video. In a signed-in test on a public channel it exported the 30 videos the page had loaded. It runs in your own browser with your own session, with no proxy and no datacenter requests. You do not need a YouTube API key, a quota or a developer project.
Free · Runs in your own browser
Back to YouTube ScraperYouTube shows a channel's uploads as a grid you can only read one card at a time. DataLens reads the videos that have loaded on the page and puts them into rows you can filter by title keyword and pivot in Excel. In the test run the page had loaded 30 videos, and 30 rows came out.
Put titles, durations, view counts and publish labels side by side, then filter by title keywords or group by video length. View counts and dates are copied as text the way YouTube displays them, such as “42K” and “12h ago”, so they need converting to numbers before you sort or sum them.
Export two or three channels one after another and put them in a single workbook to compare how long their videos run and how their titles are written. YouTube itself shows one channel at a time.
This exports what a channel's Videos tab shows to a visitor: title, link, duration, views and publish time. It does not include likes, comment counts or descriptions, and it is not the private analytics inside YouTube Studio (watch time, impressions, revenue), which only the channel owner can open.
| Title | Duration | Views | Published |
|---|---|---|---|
| How to Make Parenting Less Lonely | Stacey McLachlan | TED | 17:54 | 42K | 12h ago |
| The Joy of Foraging Your Own Food | Alexis Nikole Nelson | TED | 49:44 | 60K | 3d ago |
| Why It’s So Hard to Listen When You Disagree | Emily Kasriel | TED | 10:52 | 115K | 7d ago |
| What Makes a Good Game? | Eric Zimmerman | TED | 12:21 | 117K | 13d ago |
| How to Start Any Conversation the Right Way | Chris Fenning | TED | 11:08 | 343K | 3w ago |
Sample collected on November 3, 2026 from a real run.
A YouTuber exports the videos loaded on a competitor's channel, filters the titles by keyword, and reads which topics and title formats appear most.
A brand partnerships manager exports the channels on a creator shortlist and compares typical video length and view counts before reaching out.
A researcher exports a news channel's loaded videos, then filters by title keywords to see how often a topic was covered.
A video editor exports their own channel into Excel to see which video lengths have drawn the most views and plan the next batch.
Short answers to what people usually ask before installing.
The export reads the Videos tab your Chrome is already showing, so there is no API key, quota or Google Cloud project. Download the result as Excel (.xlsx), CSV or JSON.
The video title with its link, duration, view count and publish time. The publish time is the relative label YouTube shows, such as “3d ago”, not an exact timestamp. Likes, comment counts and descriptions are not included.
In the test run the Videos tab had loaded 30 videos and the export contained those 30 rows, even though the row limit was set to 60. The tool flagged the result as possibly incomplete. To get more, scroll the page first so YouTube loads further videos; whether that works past 30 has not been verified.
In the test run, 3 of the 30 rows had the channel name in the Views column instead of a number. The other columns on those rows were fine. Scan the Views column after exporting and fix or drop those rows; open the video’s own page for the exact figure.
DataLens copies the number as YouTube displays it, in its rounded, abbreviated form such as “42K”. The export does not contain exact view counts, and the value is text with a unit, so convert it to a number in Excel before sorting.
Only what the Videos tab you opened shows. The test run used one public channel’s Videos tab and did not look at the Shorts or Live tabs or at members-only videos, so check the preview before relying on them.
Related pages for the same platform or the same kind of data.
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