Automate 21risk tasks via Rube MCP (Composio). Always search tools first for current schemas.
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Get YouTube captions, timestamped quotations, SRT/VTT and translated transcripts for videos, channels and playlists through the harshmaur/youtube-transcript-scraper Apify Actor.
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설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Turn a YouTube link, a channel or a playlist into text with one run of harshmaur/youtube-transcript-scraper. Each video gives one row with the transcript and the video facts. The agent picks the input list, sets how many videos to read per channel, and chooses the transcript shape.
Disclosure: the Actor is paid per result and is built by the skill author. Links carry no affiliate parameters.
Use to summarize public YouTube videos, find timestamped quotations, export captions, or research transcripts from channels and playlists.
Prompts this skill handles:
Out of scope (the boundary):
apify login (OAuth, if you use the Apify CLI)APIFY_TOKEN environment variable| The user gives you | Field | Notes |
|---|---|---|
Video links: watch?v=, youtu.be/, /shorts/, /live/ | videoUrls | One row per link. maxVideos does not apply. |
A channel: @handle, youtube.com/@handle, /channel/UC…, /c/Name | channelUrls | The newest uploads, up to maxVideos per channel. |
A playlist: youtube.com/playlist?list=… | playlistUrls | Playlist order, up to maxVideos; about 100 at most. |
Mix the three lists in one run when the user names videos and channels together.
| Field | Values | Default |
|---|---|---|
maxVideos | Videos per channel or playlist | 50 |
dateFrom, dateTo | YYYY-MM-DD, publish date window | none |
language | ISO 639-1 code (en, es, hi, ja) | the video's own caption language |
transcriptFormat | both, segments, text, srt, vtt | both |
Pick the format from the task:
text (smallest rows).segments or both.srt or vtt.Example input:
{
"channelUrls": ["@mkbhd"],
"maxVideos": 20,
"dateFrom": "2026-09-01",
"transcriptFormat": "text"
}
Fetch the live schema when a field is in doubt:
apify actors info "harshmaur/youtube-transcript-scraper" --input --json \
--user-agent apify-awesome-skills/apify-youtube-transcript-scraper 2>/dev/null
You pay only for transcripts in the dataset. Videos with no captions, private videos and videos outside the date window cost nothing.
| Apify plan | Per 1,000 transcripts |
|---|---|
| Free | $5.00 |
| Starter | $4.67 |
| Scale | $4.33 |
| Business and higher | $4.00 |
cost ≈ videos × $0.005. For channels, videos = channels × maxVideos. Under about 200 videos ($1), run it. Above that, state the estimate and get a yes first.
apify actors call "harshmaur/youtube-transcript-scraper" \
-i '{"videoUrls":["https://youtu.be/jNQXAC9IVRw"],"transcriptFormat":"text"}' \
--json \
--user-agent apify-awesome-skills/apify-youtube-transcript-scraper \
2>/dev/null
The output gives status and the dataset ID at storage.defaultDatasetId. A measured run of 4 transcripts (2 links and 2 channel videos) finished in under a minute. A run of several hundred videos can take many minutes. Start long runs without waiting and poll with apify runs info "RUN_ID" --json --user-agent apify-awesome-skills/apify-youtube-transcript-scraper 2>/dev/null.
EXPORT_DIR="$(mktemp -d)" || exit 1
apify datasets get-items "DATASET_ID" --format json \
--user-agent apify-awesome-skills/apify-youtube-transcript-scraper \
2>/dev/null > "$EXPORT_DIR/yt-transcripts.json"
Each row has dataType: transcript or failed.
| Need | Fields |
|---|---|
| Video | videoId, url, title, description, durationSeconds, publishedAt, category, keywords, thumbnail |
| Numbers | viewCount, likeCount, commentCount |
| Channel | channelName, channelId, channelUrl, channelUsername, subscriberCount |
| Transcript | transcriptText (plain text), transcript (segments with start, end, duration, text |
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Automate 21risk tasks via Rube MCP (Composio). Always search tools first for current schemas.
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Automate 2chat tasks via Rube MCP (Composio). Always search tools first for current schemas.
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Usar al iniciar o mejorar un proyecto de IA: diagnostica código y restricciones, propone skills existentes y redacta tareas y un plan de implementación en español.
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Usar tras definir el sector de un proyecto: prepara un dossier en español con contexto, normas aplicables, patrones UX y riesgos, distinguiendo fuentes verificadas de hipótesis.
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AI-powered presentation generation via the 2slides API — create slides from text, match a reference image style, summarize documents into decks, add AI voice narration, and export pages/audio. Use f
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