YouTube transcripts for RAG and LLM pipelines
Myworkingmemory LLC
Feed videos to your model: each result carries the plain transcript for embedding, the timestamped segments for citation, and the title, channel, duration, view count, description and keywords for metadata filters. Batch up to 250 videos per run.
Input
Output fields
Sign up on Apify or log in
The Wicked YouTube Transcript Scraper API Actor is ready to run with the inputs already set for "YouTube transcripts for RAG and LLM pipelines". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "YouTube transcripts for RAG and LLM pipelines" task
The Wicked YouTube Transcript Scraper API Actor will start running based on the input automatically. You can also change all the input fields, like batch: up to 250 video urls or ids, language, and more, to match your specific use case.
Receive the "YouTube transcripts for RAG and LLM pipelines" 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 transcripts for RAG and LLM pipelines" task via API.
Integrate "YouTube transcripts for RAG and LLM pipelines" into your workflow
Connect "YouTube transcripts for RAG and LLM pipelines" with 100+ integrations, or run it via API or MCP.
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Yes, through the Apify MCP server (https://mcp.apify.com) or the REST API with an Apify token.
$0.0007 per delivered transcript ($0.70 per 1,000). No start fee, no per-run fee. A video without captions costs nothing.
Only public videos that have captions, manual or auto-generated. Private, removed and age-restricted videos cannot be read, and there is no audio transcription or translation.