Build a RAG Dataset from Y Combinator YouTube Videos
Pulls transcripts of the 20 newest Y Combinator videos as clean text plus timestamped segments you can chunk and cite, with title, publish date, views and word count for each. The run also saves one combined markdown file of every transcript. Use it to seed a startup-advice knowledge base, or paste your own channel link.
Input
Output fields
Sign up on Apify or log in
The YouTube Transcript Scraper β Subtitles to Text for LLM & RAG Actor is ready to run with the inputs already set for "Build a RAG Dataset from Y Combinator YouTube Videos". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Build a RAG Dataset from Y Combinator YouTube Videos" task
The YouTube Transcript Scraper β Subtitles to Text for LLM & RAG Actor will start running based on the input automatically. You can also change all the input fields, like youtube urls (videos, shorts, playlists, channels), max videos per playlist / channel / search, and more, to match your specific use case.
Receive the "Build a RAG Dataset from Y Combinator YouTube Videos" 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, channel, length, 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 "Build a RAG Dataset from Y Combinator YouTube Videos" task via API.
Integrate "Build a RAG Dataset from Y Combinator YouTube Videos" into your workflow
Connect "Build a RAG Dataset from Y Combinator YouTube Videos" 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