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Youtube Video Transcript Scraper — YouTube | Lagic

Built For

Get full text transcripts from any YouTube video, channel, or search result.

Curated by Lagic·Verified working

Configure Agent

List of direct YouTube video URLs.

List of keywords to search for.

Maximum regular videos to scrape per search result.

Maximum Shorts to scrape per search result (0 = exclude).

Maximum Live Streams to scrape per search result (0 = exclude).

Filter search results by upload date.

Sort order for search results.

List of Channel URLs (e.g., ).

Results to deliver

100 credits

This agent actively searches live listings — results may vary. You are only charged for what is delivered, up to this number.

Lagic Proxy

Country auto-rotated. Need a specific region? Contact support.

Pricing

1 credit per result
✓ 30 free credits on signup✓ Refund if 0 results✓ No card required

Sample Data Preview

Full video transcript as plain textTranscript with start and end timestamps for each lineTotal length of the transcript (character count)Video title and URLVideo IDVideo view count
100942026-04-05572https://...1009510097
100942026-04-05154https://...1009210094
..................
Exports as:CSVXLSXJSON

Overview

Extracts complete, word-for-word transcripts and subtitles from YouTube videos. Get spoken text, view counts, and upload dates from direct URLs, search terms, or entire channels for content analysis and repurposing.

This tool pulls the full text transcript from any public YouTube video. It allows you to turn spoken content into written data, ready for analysis, repurposing, or archiving. You can provide direct links to specific videos, a list of search keywords, or the URL of a channel. For searches and channels, you can specify how many videos, Shorts, or live streams you want to process, and sort them by date, popularity, or relevance. This is ideal for analyzing a competitor's latest content or tracking mentions of a topic over time. The output includes the full transcript text, which can be delivered with or without timestamps. You also get key metadata for each video, including its title, view count, upload date, and channel name. You can specify the transcript language (e.g., 'en' for English, 'es' for Spanish) and choose whether to prioritize manually created captions or auto-generated ones. This is built for content marketers, SEO specialists, academic researchers, and media monitoring teams who need to work with the content of videos at scale, without manually watching and transcribing each one.

Key Capabilities

  • ✓ Full video transcript as plain text
  • ✓ Transcript with start and end timestamps for each line
  • ✓ Total length of the transcript (character count)
  • ✓ Video title and URL
  • ✓ Video ID
  • ✓ Video view count
  • ✓ Original channel name
  • ✓ Video upload date
  • ✓ Video type (regular, short, or live stream)
  • ✓ Indication of whether captions were available
  • ✓ Repurpose Video Content into Blog Posts: Extract the full transcript from a video to use as the foundation for a detailed article, show notes, or a series of social media posts.
  • ✓ Competitor Content Analysis: Scrape the transcripts of a competitor's 50 most popular videos to analyze their messaging, keyword strategy, and topics.
  • ✓ SEO Keyword Research: Analyze transcripts from top-ranking videos for a specific keyword to identify spoken phrases and long-tail keywords that you can target in your own content.
  • ✓ Market and Product Research: Gather transcripts from video reviews of your product or a competitor's to perform sentiment analysis and identify common themes in customer feedback.
  • ✓ Media Monitoring and Brand Tracking: Run daily searches for your brand name or key industry terms to capture and analyze how they are being discussed in new video content.
  • ✓ Create Accessible Educational Materials: Download transcripts from educational lectures or tutorials to provide a text version for students who are hearing-impaired or prefer to read.
  • ✓ Train AI and Language Models: Collect large datasets of spoken language on specific topics to use as training data for natural language processing (NLP) models.

Field Dictionary

How To Run This Extractor

1

Choose your method: provide a list of direct video URLs, search terms, or channel URLs.

2

Set limits on the maximum number of videos, shorts, or live streams to process for each search or channel.

3

Refine your search with filters for upload date (e.g., 'this year') and sort order (e.g., 'most viewed').

4

Specify the desired subtitle language code, such as 'en' for English or 'de' for German.

5

Decide whether to include timestamps in the output or get only the plain text.

6

Run the tool and download your data as a CSV, Excel, or JSON file.

Frequently Asked Questions

Do I need to be a developer to use this?
No, you don't need any coding skills. You can configure and run the tool through a user interface by providing URLs or search terms in simple text fields.
What formats can I export the data in?
Is it legal to scrape YouTube transcripts?
How many videos can I get transcripts for at once?
Can I use this for client work at my agency?
Can I get transcripts in languages other than English?
What's the difference between auto-generated and manual captions?
Can I schedule this tool to run automatically?
How fresh is the data?
How is cost determined?
How does this differ from just using the 'Show transcript' feature on YouTube?
How reliable is the transcript data?