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.
Input
Output fields
Sign up on Apify or log in
The YouTube Video Transcript Scraper: Captions, Subtitles, SRT Actor is ready to run with the inputs already set for "YouTube channel transcripts of the last 60 days as RAG chunks". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "YouTube channel transcripts of the last 60 days as RAG chunks" task
The YouTube Video Transcript Scraper: Captions, Subtitles, SRT Actor will start running based on the input automatically. You can also change all the input fields, like channels, channel content, and more, to match your specific use case.
Receive the "YouTube channel transcripts of the last 60 days as RAG chunks" output
Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as status, reason, video id, and more.
Integrate into your workflow
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "YouTube channel transcripts of the last 60 days as RAG chunks" task via API.
Integrate "YouTube channel transcripts of the last 60 days as RAG chunks" into your workflow
Connect "YouTube channel transcripts of the last 60 days as RAG chunks" with 100+ integrations, or run it via API or MCP.
Webhook
n8n
Make
Zapier
Airbyte
Keboola
IFTTT
Hubspot
GDrive
Gmail
Apify MCP
GitHub
Slack
LangChain
LlamaIndex
Flowise
Pinecone
OpenAI
Mastra
Clay