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Supadata · Google Sheets Guide

Run YouTube Keyword Research and Import Results Into a Google Sheet

2026-05-14
5 min read

The Scenario

A YouTube SEO specialist has just finished keyword research for a new client in the travel niche. The output is 12 target keywords sitting in column A of a Google Sheet. The next step is to see what YouTube is currently ranking for each keyword — the top results, the channels behind them, the view counts — so the specialist can identify content gaps and build a pitch around where the client has a realistic chance of competing. Doing this manually means running 12 separate YouTube searches, noting the results for each, and somehow getting all of it into a structured format without losing track of which results belong to which keyword.

The bad version:

  • Open YouTube, search for keyword 1, note the top 5 results — title, channel, views — in a separate doc.
  • Switch to the sheet, paste in the results, format the rows, add the keyword label.
  • Repeat for 11 more keywords. Discover halfway through that you noted view counts in abbreviated format for some keywords and full numbers for others.

The keyword research brief took two hours. Getting it into a usable format for the pitch is threatening to take another two.

The Easy Way: One Prompt in SheetXAI

SheetXAI is an AI agent that lives inside your Google Sheet. It reads the keywords in your sheet and, through its built-in Supadata integration, searches YouTube for each one and writes the top results — with metadata — directly into the sheet in one pass.

For each search query in column A, use Supadata to search YouTube and write the top 5 results (title, channel name, view count, and video URL) into columns B through E — add a blank row between each query's results

What You Get

  • For each keyword in column A: the top 5 YouTube results written in a block below the keyword row, with title in column B, channel name in column C, view count in column D, and video URL in column E.
  • A blank row separating each keyword's result block — making the sheet scannable.
  • View counts as raw numbers, consistent across all results.
  • All 12 keywords processed in one operation.

What If the Data Is Not Quite Ready

You want the results in a flat table rather than grouped blocks

The analysis tool you are feeding the data into requires one row per result, no blank separators.

For each search query in column A, use Supadata to search YouTube and write the top 5 results as individual rows in a flat table starting in column B — include the keyword, title, channel, view count, and video URL, one result per row

You need the top 10 results per keyword instead of 5

A deeper result set gives the specialist a more complete picture of the competitive landscape.

For each search query in column A, use Supadata to search YouTube and write the top 10 results — title, channel, and view count — into columns B through D, with a blank row between each keyword's results

You want to flag results from channels the client has already identified as direct competitors

Column B already has a list of competitor channel names the client flagged in the brief.

For each keyword in column A, use Supadata to search YouTube for the top 5 results — write title, channel, and view count into columns C through E — and if the channel name in column D matches any channel listed in column B, write 'Competitor' in column F

You want a combined view: keywords with the top result and its view count in a single summary table

For each search query in column A, use Supadata to search YouTube and write only the top result — its title, channel name, and view count — into columns B through D, giving a compact summary of what is winning each keyword

The pattern: combining keyword research with a competitor flag in one prompt means the content gap analysis arrives pre-sorted.

Try It

Get the 7-day free trial of SheetXAI and open any Google Sheet with a column of YouTube keywords and ask it to pull the search results in one operation. Once you have the data, look at the spoke on pulling YouTube video metadata to fetch full stats for the top-ranking videos.

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