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YouTube channel transcripts of the last 60 days as RAG chunks

The transcripts of the long videos a YouTube channel published in the last 60 days (TED here): videos only, no Shorts, at least 10 minutes long, up to 20. Each row carries the publish date and the length the filters used, and the transcript cut into chunks of about 1,000 characters at caption boundaries, each with its start and end, ready for a vector store; the timed segments are left out.

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YouTube Video Transcript Scraper: Captions, Subtitles, SRT
YouTube Video Transcript Scraper: Captions, Subtitles, SRThyperbach/youtube-transcript-scraper
Status
Reason
Video id
Video URL
+46 fields
Text
Number
Boolean
List
Object

Input

Channels:@TED
Channel content:videos
Published from:60 days
Min duration (seconds):600
Max duration (seconds):0
Max videos per channel, playlist or search:20
Extra formats:chunks
Chunk size (characters):1000
Timed segments:false

Output fields

Status
Reason
Video id
Video URL
Title
Channel
Channel id
Channel URL
Channel handle
Subscribers
Published
Published at
Duration (s)
Views
Likes
Category
Keywords
Description
Thumbnail
Live content
Language
Language name
Requested language
Language note
Track kind
Auto-generated
Transcript source
Segments
Text
Words
Characters
Segments (timed)
SRT
WebVTT
Paragraphs
Chunks
Markdown
Chapters
Tracks
YouTube translation languages
Other tracks
Translation
Speech-to-text seconds
Comments
Files
Notes
Source type
Source
Position
Scraped at

How it works

Sign up on Apify01

Create your Apify account to access the YouTube Video Transcript Scraper: Captions, Subtitles, SRT.

Start the run02

The Actor will start running based on the input automatically.

Receive the output03

Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.

Integrate into your workflow04

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.

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