YouTube channel transcripts as RAG chunks with timestamps
Turn a YouTube channel into chunks ready for embeddings: every video's transcript split into pieces of about 300 words with overlap, each with start and end seconds and a link that opens the video at that moment. The RAG chunks view gives one row per chunk, ready for a vector store.
Input
Output fields
Sign up on Apify or log in
The YouTube Channel Transcripts Scraper - Bulk, SRT & VTT Actor is ready to run with the inputs already set for "YouTube channel transcripts as RAG chunks with timestamps". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "YouTube channel transcripts as RAG chunks with timestamps" task
The YouTube Channel Transcripts Scraper - Bulk, SRT & VTT Actor will start running based on the input automatically. You can also change all the input fields, like channels, max videos per channel, playlist or search, and more, to match your specific use case.
Receive the "YouTube channel transcripts as RAG chunks with timestamps" 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 video, title, channel, 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 as RAG chunks with timestamps" task via API.

Integrate "YouTube channel transcripts as RAG chunks with timestamps" into your workflow
Connect "YouTube channel transcripts as RAG chunks with timestamps" 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