YouTube Transcript Quote Research Dataset

Created by

Chronometrica

Actor

YouTube Transcript Scraper – Clean Text & JSON

Build a source-linked quote candidate library from supplied videos. Uses available public captions. It does not transcribe audio.

Try for free

YouTube Transcript Scraper – Clean Text & JSONchronometrica/youtube-transcript-scraper

Platform

Input #

Input URL

Video URL

+32 fields

Input

YouTube video URLs or IDs(required):https://www.youtube.com/watch?v=dQw4w9WgXcQ+2

Transcript languages (optional)

Transcript formats:json+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 Transcript Quote Research Dataset". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "YouTube Transcript Quote Research Dataset" 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 Transcript Quote Research Dataset" 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 Transcript Quote Research Dataset" task via API.