Audit recent talking points on a YouTube channel

Created by

Khadin Akbar

Actor

YouTube Transcript and Subtitle Data Scraper

Audit recent talking points on a YouTube channel. Automated data extraction with structured output for spreadsheets, CRMs, and AI agents. Powered by khadinakbar

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YouTube Transcript and Subtitle Data Scraperkhadinakbar/youtube-transcript-extractor

Video title

Channel name

View count

Full transcript (plain text)

+2 fields

Input

Channel URL or @handle:https://www.youtube.com/@Google

Max videos:8

Transcript language:en

Published after:2024-01-01

Include video metadata:true

Transcript format:plain_text

Output fields

Video title

Channel name

View count

Full transcript (plain text)

Estimated token count

Extraction status

How it works

Sign up on Apify or log in

The YouTube Transcript and Subtitle Data Scraper Actor is ready to run with the inputs already set for "Audit recent talking points on a YouTube channel". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Audit recent talking points on a YouTube channel" task

The YouTube Transcript and Subtitle Data Scraper Actor will start running based on the input automatically. You can also change all the input fields, like channel url or @handle, max videos, and more, to match your specific use case.

Receive the "Audit recent talking points on a YouTube channel" 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 title, channel name, view count, 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 "Audit recent talking points on a YouTube channel" task via API.