The Scenario
A growth marketer studying content performance has 25 YouTube videos in a Google Sheet — a curated list of top performers in the productivity software niche, assembled over two weeks. The research question is whether transcript characteristics — length, vocabulary density, topic depth — correlate with view count and engagement. To answer it, the marketer needs both the full transcript text and the view count, like count, and duration for each video. Getting them separately means two rounds of data collection. Getting them together means the analysis can start in the same session the data arrives.
The bad version:
- Pull transcripts first using one method. Then pull metadata using a different tool. Try to reconcile the two datasets by matching video IDs across two separate exports.
- Discover the transcript data came back in a different row order than the metadata. Spend 30 minutes writing a VLOOKUP to join them.
- Find that three rows in the transcript export have empty cells and three rows in the metadata export have errors — and they are not the same three rows.
Two hours of data wrangling before the analysis has even started is not how this project was pitched.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads the video URLs in your sheet and, through its built-in Supadata integration, fetches both transcript text and video metadata for each video in a single pass — writing everything into the same row, no join required.
For each YouTube video URL in column A, use Supadata to fetch both the full transcript and the video metadata, then write transcript text into column B and view count, like count, and duration into columns C, D, and E
What You Get
- Column B: full plain-text transcript for each video.
- Column C: view count as a raw number.
- Column D: like count.
- Column E: duration in seconds or formatted as HH:MM:SS.
- All 25 rows populated in one pass, with transcript and metadata in the same row — no post-hoc join needed.
- Rows where transcript is unavailable noted so you know which videos need a workaround.
What If the Data Is Not Quite Ready
Some videos in the list have no captions and will return empty transcripts
The niche includes some creator-uploaded videos with no auto-captions enabled.
For each YouTube video URL in column A, use Supadata to fetch the transcript and metadata — write transcript text into column B, view count into column C, like count into column D, and duration into column E — write 'No transcript' in column B for any video where captions are unavailable
You want word count derived from the transcript as a research variable
Word count is one of the primary independent variables in the correlation study.
For each YouTube URL in column A, use Supadata to fetch the full transcript and metadata — write transcript text into column B, word count of the transcript into column C, view count into column D, and duration in seconds into column E
You want to flag videos where the transcript is unusually short relative to the duration
Very short transcripts for long videos may indicate missing captions or mostly-silent content.
For each YouTube URL in column A, use Supadata to fetch the transcript and duration — write transcript word count into column B and duration in seconds into column C — then calculate words per second and write into column D — flag any row where column D is below 1.5 as 'Possibly incomplete transcript' in column E
You want the full combined dataset plus a quick summary of the range
For each YouTube URL in column A, use Supadata to fetch the full transcript, view count, and duration — write transcript into column B, view count into column C, and duration into column D — then write the highest view count in cell F1, the lowest in cell F2, and the average transcript word count in cell F3
The pattern: combining data pull and summary statistics in one prompt means the research framing is visible the moment the data arrives.
Try It
Get the 7-day free trial of SheetXAI and open any Google Sheet with a column of YouTube URLs and ask it to pull both transcripts and metadata in one pass. For the channel-level view on any creator in your list, look at the spoke on benchmarking YouTube channel stats.