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Bulk YouTube Transcripts

Process multiple YouTube videos at once. Perfect for bulk content analysis or building datasets for 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+2

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 "Bulk YouTube Transcripts". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Bulk YouTube Transcripts" 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 "Bulk YouTube Transcripts" 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 "Bulk YouTube Transcripts" task via API.

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Integrate "Bulk YouTube Transcripts" into your workflow

Connect "Bulk YouTube Transcripts" with 100+ integrations, or run it via API or MCP.

Webhook

Webhook

n8n

n8n

Make

Make

Zapier

Zapier

Airbyte

Airbyte

Keboola

Keboola

IFTTT

IFTTT

Hubspot

Hubspot

GDrive

GDrive

Gmail

Gmail

Apify MCP

Apify MCP

GitHub

GitHub

Slack

Slack

LangChain

LangChain

LlamaIndex

LlamaIndex

Flowise

Flowise

Pinecone

Pinecone

OpenAI

OpenAI

Mastra

Mastra

Clay

Clay

Frequently asked questions

The Bulk YouTube Transcripts task returns a dataset containing the video URL, cleaned transcript, character count, and processing status for each video.

The Bulk YouTube Transcripts task provides a clear error message for videos that lack subtitles instead of failing the entire run.

The cleaned transcripts are optimized for use in RAG pipelines and for training language models, offering pure text without timestamps or extra formatting.

This task can be scheduled to run automatically using the Apify Console.

The output data can be used for content analysis, research, and feeding clean transcripts into vector databases for RAG systems.