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YouTube Transcripts for LLM Analysis

Collect prompt-ready transcript text from supplied YouTube videos for downstream LLM summary, classification, extraction, and research workflows.

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YouTube Transcript Scraper – Clean Text & JSON
YouTube Transcript Scraper – Clean Text & JSONchronometrica/youtube-transcript-scraper
Platform
Input #
Input URL
Video URL
+32 fields
Text
Number
Boolean
List
Object

Input

YouTube video URLs or IDs(required):https://www.youtube.com/watch?v=dQw4w9WgXcQ+2
Transcript languages (optional)
Transcript formats:text+1
Include failed input details:true

Output fields

Platform
Input #
Input URL
Video URL
Video ID
Title
Published At
Video Duration (Seconds)
Thumbnail
Channel ID
Channel Name
Channel URL
Language Preferences
Transcript Language
Transcript Language Name
Available Languages
Language Match
Auto-generated
Segments
Text
SRT
VTT
LLM Text
Segments
Words
Characters
First Segment Start (Seconds)
Last Segment End (Seconds)
Transcript Span (Seconds)
Video Coverage Ratio
Status
Status Reason
Error Category
Error Code
Retryable
Scraped At

How it works

Sign up on Apify or log in

The YouTube Transcript Scraper – Clean Text & JSON Actor is ready to run with the inputs already set for "YouTube Transcripts for LLM Analysis". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "YouTube Transcripts for LLM Analysis" task

The YouTube Transcript Scraper – Clean Text & JSON Actor will start running based on the input automatically. You can also change all the input fields, like youtube video urls or ids, transcript languages (optional), and more, to match your specific use case.

Receive the "YouTube Transcripts for LLM Analysis" 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 platform, input #, input url, 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 LLM Analysis" task via API.

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