Extract YouTube Transcripts for RAG and AI Search
Apizy
Extract spoken text from a captioned YouTube video as source material for a RAG knowledge base or AI search. This task saves the full transcript plus title, URL, and language as a Dataset row. Replace the example URL with your own, then chunk and embed the text in your pipeline. This Actor does not create embeddings or answer questions.
Input
Output fields
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The YouTube Transcript Scraper | Text & Timestamps Actor is ready to run with the inputs already set for "Extract YouTube Transcripts for RAG and AI Search". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Extract YouTube Transcripts for RAG and AI Search" task
The YouTube Transcript Scraper | Text & Timestamps Actor will start running based on the input automatically. You can also change all the input fields, like video urls and include timestamps, to match your specific use case.
Receive the "Extract YouTube Transcripts for RAG and AI Search" 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 id, title, video, 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 "Extract YouTube Transcripts for RAG and AI Search" task via API.
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