YouTube Bulk Keyword Search

Run an entire keyword list through YouTube search in a single run. You get one clean row per video — title, URL, channel, view count, duration, publish date — and every row is tagged with the keyword that produced it, so a 200-keyword list comes back as one sortable table instead of 200 separate exports.

No API key. No YouTube Data API quota. No browser automation, so runs are fast and cheap.

What you get

Field	Example
query	best espresso machine
title	Python Full Course for free 🐍
url	https://www.youtube.com/watch?v=ix9cRaBkVe0
video_id	ix9cRaBkVe0
channel_name	Bro Code
channel_handle / channel_id / channel_url	@BroCodez · UC4SVo0Ue36XCfOyb5Lh1viQ
view_count	11477738
view_count_text	11,477,738 views
duration_text	12:00:00
published_text	1 year ago
thumbnail	https://i.ytimg.com/vi/ix9cRaBkVe0/hq720.jpg
fetched_at	2026-08-15T19:44:02+00:00

view_count is a real integer, so you can sort and filter it directly in the dataset view or in a spreadsheet — no parsing 1.2M strings by hand.

Every YouTube search filter, applied to your whole keyword list

The filters below are YouTube's own — the same ones behind the Filters button on the results page — encoded into the request rather than applied after the fact. So Uploaded within: today really asks YouTube for today's videos instead of fetching the default ranking and throwing most of it away, and you get a full page of matches per keyword instead of the handful that survive a post-filter.

Input

{
  "queries": ["best espresso machine", "ai agents", "cold brew at home"],
  "maxResultsPerQuery": 20,
  "sortBy": "views",
  "uploadedWithin": "month",
  "duration": "long",
  "hasSubtitles": true,
  "minViews": 10000
}

Option	Default	Notes
queries	(required)	One search per keyword. Paste your whole list.
maxResultsPerQuery	20	1–100 videos per keyword.
sortBy	relevance	relevance, date, views or rating.
uploadedWithin	(any)	hour, today, week, month or year.
duration	(any)	short (<4 min), medium (4–20), long (>20).
hdOnly	false	HD videos only.
hasSubtitles	false	Only videos carrying a subtitle track.
creativeCommons	false	Only Creative Commons licensed videos you can reuse.
minViews	0	Drops low-view videos after fetching.

What people use it for

• Content research — find which videos already rank for the keywords you plan to target, and how many views they pulled.
• Competitor tracking — run your category's keyword list weekly and diff the channels that keep surfacing.
• Creator sourcing — filter by minViews to surface only channels with proven reach for a given topic.
• Trend sizing — total view_count per keyword gives a fast demand proxy across a topic list.
• Finding fresh content fast — uploadedWithin: today across a keyword list surfaces what went up in the last few hours, which is where newsjacking and trend-riding start.

Export

Results land in a standard Apify dataset: download as CSV, JSON, Excel or XML, or pull them from the API. The default table view shows keyword, title, channel, views, duration, publish date and URL.

Notes

• Results reflect YouTube's own relevance ranking for a signed-out viewer, so they match what a fresh visitor sees rather than a personalized feed.
• Keywords that return nothing are logged as warnings and skipped; the run still completes with everything else.
• Transcripts are not part of this Actor. YouTube gates caption fetching behind a proof-of-origin token, and this Actor deliberately does not ship a workaround.