Go to example tasks
Build a RAG dataset from YouTube videos
Ready-to-run example: turn a channel into chunk-ready transcript rows with source URL and title, sized for embedding into a vector store.
YouTube Transcript RAG Dataset Builder - Chunk-Ready Textvonsensey/youtube-transcript-rag-dataset
Video ID
URL
Title
Channel
+14 fieldsTextNumberBooleanListObject
Input
Video, playlist, or channel URLs(required):https://www.youtube.com/@TED
Extra transcript formats:text
Output fields
Video ID
URL
Title
Channel
Channel id
Uploaded
Duration (s)
Language
Matched language tag
Auto-generated
Available languages
Source urls
Source position
Segments
Chapters
Plain text
Srt
Vtt
Sign up on Apify01
Create your Apify account to access the YouTube Transcript RAG Dataset Builder - Chunk-Ready Text.
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.
