Go to example tasks
YouTube playlist transcripts for AI and RAG
Every transcript of a YouTube playlist as clean text without timestamps, one row per video, ready to chunk and load into a vector database or a RAG pipeline. The example is 3Blue1Brown's neural networks course: replace it with any playlist or channel.
YouTube Transcript Scraper – Subtitles, SRT, Channelsbrii3343/youtube-transcript-scraper
Video
Status
Title
Channel
+5 fieldsTextNumberBooleanListObject
Input
YouTube URLs(required):https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi
Include timestamped segments:false
Output fields
Video
Status
Title
Channel
Language
Auto-generated
Words
Transcript
Error
Sign up on Apify01
Create your Apify account to access the YouTube Transcript Scraper – Subtitles, SRT, Channels.
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.
