n8n Workflow: Clean YouTube Transcripts via RapidAPI

Clean YouTube transcripts automatically with an n8n RapidAPI workflow

This n8n workflow extracts subtitles from YouTube videos using the YouTube Transcript API on RapidAPI, then formats and cleans the transcript into structured, ready-to-use data for your downstream automation—ideal for summarization, research, and content repurposing pipelines.

What this workflow does

Designed for reliability and readability, the workflow retrieves transcript text from a YouTube video and prepares it for processing. In practical terms, it:

• Accepts input (such as a YouTube video identifier) using an n8n Form Trigger.
• Calls the YouTube Transcript API via an n8n HTTP Request node connected to RapidAPI.
• Applies transformation and cleanup steps using Set and Function nodes to return cleaned, structured transcript output.

Use cases

• Content creators extract clean transcripts from YouTube videos to repurpose into blog drafts or video scripts.
• Researchers pull subtitle text for analysis, quoting, and topic extraction workflows.
• Automation engineers integrate transcripts into an n8n pipeline for summarization or language processing.
• SaaS operators build transcript-based features by feeding cleaned subtitle data into other services.

Technical details

• API Integration: YouTube Transcript API hosted on RapidAPI
• n8n nodes used: Form Trigger, HTTP Request, Set, Function
• Output: Structured transcript data suitable for further processing in n8n

Who it’s for

Built for n8n users, automation engineers, and SaaS operators who need dependable YouTube transcript extraction and clean transcript formatting as a reusable automation block.