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YouTube Keyword Research Without Manual Copying

Replace search, scroll, copy-into-a-spreadsheet with one export — then read the titles as a set.

Updated 26 September 2026 · 6 min read
Quick answer
To do YouTube keyword research without copying titles by hand, export the search results for your keyword instead of transcribing the page yourself — you get every ranking video's title, channel, view count and publish date as spreadsheet rows in one step. Run the keyword through MyFreshTools YouTube Search Results Export , download the CSV, and scan the title column for the recurring phrases and formats that top-ranking videos share.

A common way to research a YouTube keyword is depressingly manual: search the term, scroll the results, and type each title, channel and rough view count into a spreadsheet by hand. It works, but it's slow, error-prone, and something you dread repeating for the next keyword on your list.

The whole point of that spreadsheet — spotting which title formulas, phrases and formats repeat across the top results — doesn't need the manual step at all. An export gets you the same data in one action, and it's more accurate than anything typed by hand from a scrolled page.

The old way

The manual workflow, and why it doesn't scale

⌛Slow, one row at a time

Ten results means ten trips back and forth between the search tab and your spreadsheet.

🔢View counts are estimates

Typing '1.2M' from memory after switching tabs introduces errors you won't catch later.

🔁Doesn't repeat well

Doing it again next month to check for movement means starting the whole manual process over.

📵No dates, no URLs

A quick manual scan usually skips publish date and the direct link — both useful later and easy to forget mid-copy.

Step by step

Export instead, in 4 steps

Open the Search Results Export tool

Sign in with a free MyFreshTools account.

Enter your keyword

Type it exactly as you'd search it on YouTube.

Pick your target country

Search results for the same term vary by region — choose the one your research is actually about.

Export to CSV

Download it and open it in any spreadsheet app — every title, channel, URL, view count and publish date is already there.

One export, every field

What used to take ten trips between two browser tabs is one export — and the view counts and dates come straight from the API instead of a squint at the page.
What to look for

Spotting title formulas in the export

With every ranking title in one column, patterns are much easier to see than when they're scattered across a scrolled page. Look for:

PatternWhat it signals
Repeated structure ("How to X in Y", "X vs Y", "Top N X")A format viewers respond to for this specific keyword.
A year mentioned in several titlesFreshness matters to searchers on this term — consider including the current year in yours.
Numbers and brackets"[Free]", "(2026 Update)", "5 Tips" — bracketed qualifiers often correlate with higher-view results.
A missing angleIf every title covers the same narrow framing, a genuinely different angle can stand out in the results.
Scaling it up

Comparing multiple keywords

Once exporting one keyword takes a minute instead of twenty, researching a list of candidate keywords becomes realistic. Export each one, save the files with the keyword and date in the filename, and compare the title patterns and view-count ceilings across the whole list before deciding which keyword to build content around first.

Build a keyword library

Keep every export. A folder of dated CSVs for the keywords you care about becomes its own reference — useful the next time you're stuck for a video idea in a topic you've already researched.

The tool

How MyFreshTools helps

What the tool does

The YouTube Search Results Export takes a keyword and a country, runs the search through the YouTube API, and returns the ranked results as a CSV — title, channel, URL, view count and publish date for each result, with no manual transcription required.

Who it's for

  • Creators and SEO teams researching several keyword candidates in a session.
  • Anyone currently maintaining a manual spreadsheet of search results by hand.
  • Content planners who want dated, reusable research files instead of a one-time glance at a page.

Requirements and limits

  • A free MyFreshTools account, no card required.
  • One credit per export, flat, regardless of how many rows come back.
  • Free plan returns the top 5 results per keyword; paid plans return up to 100 results per keyword and country.
  • Export format is CSV only — no Excel or JSON on this tool.
  • The export covers title, channel, URL, view count and publish date — not full descriptions; use the Description Extractor for that on a single video.

Frequently asked questions

One export run. Instead of opening the search page, scrolling, and typing each title and channel into a spreadsheet by hand, you get all of it — title, channel, URL, view count and publish date — as a downloadable CSV in one step.

No — the export covers title, channel, URL, view count and publish date. For a single video's full description and SEO breakdown, the Description Extractor is the right tool.

Sort or skim the title column as a set rather than one at a time — repeated words, numbers, brackets and formats jump out much faster once they're stacked in a spreadsheet than when they're scattered across a scrolled page.

Yes — export one keyword, save the file, then run the next. Each export is a flat 1 credit regardless of how many results come back, so comparing several keywords side by side is straightforward.

Yes — enter the keyword in whatever language you're targeting and pick the matching country. The export returns whatever YouTube's search returns for that query and region.

Yes — a free MyFreshTools account, which takes a few seconds and needs no card. Signup includes free credits and each export costs a flat 1 credit.

The takeaway

The manual search-scroll-copy routine was never really the research — the title patterns you were hunting for were. Skip straight to those by exporting the results, and spend the time you saved actually reading what the data tells you.

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