YouTube Keyword Suggestions Scraper

Start from a partial search phrase and collect autocomplete-style suggestions—the kind of related queries people use when searching on YouTube. Optionally bias results with a region and language hint. The dataset uses one row per suggestion so you can sort, filter, or export to spreadsheets easily.

Who it’s for

• SEO and content teams expanding keyword ideas from a seed phrase.
• Researchers sampling how autocomplete completes a topic in a market.
• Automation that feeds suggestion lists into downstream tools.

What you can do with it

• Enter a short seed (a few letters or words).
• Optional region and language hints to align suggestions with an audience.

How it works (in plain terms)

You provide partial search text and optional hints. The run performs a single lookup and expands the returned phrase list into one dataset row per suggestion, in order. There is no paging—one request per run.

Input

Field	Required	What it means
Partial search text (searchQuery)	Yes	Seed characters or words to get suggestions for.
Region (region)	No	Country or region code to bias suggestions (e.g. US, GB).
Language hint (language)	No	Locale or language preference (e.g. en).

Output

• One row per suggestion returned by the lookup.
• seedQuery: what you entered.
• suggestion: one completed phrase from the list.
• position: order in the list (1-based).
• echoQuery: the normalized query echoed back for the response when present (same idea as your seed).
• Optional context: region, language when you set them.
• scrapedAt: when the row was saved.

Order and wording follow the service response; they can change with time and locale.

Sample output (rows, illustrative)

seedQuery	suggestion	position	echoQuery
cat	cat	1	cat
cat	cat tv	2	cat
cat	cats meowing	3	cat

Equivalent JSON rows:

{
  "seedQuery": "cat",
  "suggestion": "cat videos",
  "position": 4,
  "echoQuery": "cat",
  "region": "US",
  "scrapedAt": "2026-03-27T12:00:00.000Z"
}