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YouTube Transcript for RAG (Single Video)

Extract clean, timestamp-free transcripts from a single YouTube video. Perfect for feeding into RAG pipelines or LLMs

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YouTube Transcript Cleaner for RAG
YouTube Transcript Cleaner for RAGmaxkrin/youtube-transcript-cleaner
Video URL
Character Count
Status
Text
Number
Boolean
List
Object

Input

YouTube Video URLs(required):https://www.youtube.com/watch?v=dQw4w9WgXcQ

Output fields

Video URL
Character Count
Status

How it works

Sign up on Apify or log in

The YouTube Transcript Cleaner for RAG Actor is ready to run with the inputs already set for "YouTube Transcript for RAG (Single Video)". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "YouTube Transcript for RAG (Single Video)" task

The YouTube Transcript Cleaner for RAG Actor will start running based on the input automatically. You can also change all the input fields, like youtube video urls, to match your specific use case.

Receive the "YouTube Transcript for RAG (Single Video)" 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 url, character count, and status.

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 Transcript for RAG (Single Video)" task via API.

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Integrate "YouTube Transcript for RAG (Single Video)" into your workflow

Connect "YouTube Transcript for RAG (Single Video)" with 100+ integrations, or run it via API or MCP.

Webhook

Webhook

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n8n

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Make

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Zapier

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Airbyte

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Keboola

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IFTTT

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Hubspot

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GDrive

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Gmail

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Apify MCP

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GitHub

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Slack

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LangChain

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LlamaIndex

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Flowise

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Pinecone

OpenAI

OpenAI

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Mastra

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Clay

Frequently asked questions

The YouTube Transcript for RAG task outputs a dataset containing the video URL, a clean transcript of the video, the character count of the transcript, and the processing status.

The task returns a clear error message if a video has no subtitles, allowing for error handling without failing the entire run.

Yes, the task produces clean, timestamp-free transcripts that are optimized for use in LLM training and RAG pipelines.

The task requires a list of YouTube video URLs as input to process and extract the transcripts.

Yes, this task can be scheduled to run automatically using the Apify Console.

The task follows a pay-per-event pricing model, charging based on successfully processed transcripts.