YouTube Transcripts (via Apify) MCP server

YouTube Transcript Scraper & API: captions and subtitles

YouTube Transcript Scraper is an Apify Actor that returns the transcript of any YouTube video as plain text and timestamped segments, in any caption language, with the title, channel, views and duration. It accepts video, Shorts, channel and playlist URLs, costs $1.50 per 1,000 transcripts and charges nothing for videos without captions.

Price: $1.50 per 1,000 transcripts ($1.20 on Gold and above) · Run it: https://apify.com/automationnation/youtube-transcript-scraper · Guide: https://retracn.github.io/automationnation-actors/youtube-transcript-scraper/

Quick facts

• One row per video: transcript text, timestamped segments, language, auto-generated flag, all caption languages, title, channel, views, duration, description and tags.
• Using youtube-transcript-api? The open-source youtube-transcript-cloud package (github.com/retracn/youtube-transcript-cloud) keeps its interface and runs on this Actor, so it works from AWS, GCP and other servers without RequestBlocked errors.
• Videos, Shorts, channels and playlists (latest 15 videos).
• Manual captions first, then auto-generated; best-effort translation.
• Price: $1.50 per 1,000 transcripts; videos without captions are free.
• Channels on autopilot: with Only new videos on, a scheduled run transcribes each new upload from a channel or playlist once. Guide: https://retracn.github.io/automationnation-actors/guides/auto-transcribe-youtube-channel/
• Node.js on Vercel, Lambda or Render? The open-source youtube-transcript-cloud package (github.com/retracn/youtube-transcript-cloud-js) keeps the youtube-transcript npm API and errors and runs on this Actor, so transcripts work in production.

Example input

{
  "videos": [
    "https://www.youtube.com/watch?v=UF8uR6Z6KLc"
  ],
  "language": "en"
}

Run it from code

REST API

curl -X POST "https://api.apify.com/v2/acts/automationnation~youtube-transcript-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"videos": ["https://www.youtube.com/watch?v=UF8uR6Z6KLc"], "language": "en"}'

Python — see examples/python_example.py

# pip install apify-client
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("automationnation/youtube-transcript-scraper").call(run_input={
  "videos": [
    "https://www.youtube.com/watch?v=UF8uR6Z6KLc"
  ],
  "language": "en"
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item.get("title"), item.get("channel"), item.get("wordCount"), item.get("transcriptLanguage"))

JavaScript — see examples/node_example.mjs

// npm install apify-client
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('automationnation/youtube-transcript-scraper').call({
  "videos": [
    "https://www.youtube.com/watch?v=UF8uR6Z6KLc"
  ],
  "language": "en"
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
for (const item of items) console.log(item.title, item.channel, item.wordCount, item.transcriptLanguage);

Use it with AI agents (MCP)

Hosted MCP server URL (Claude, ChatGPT, Cursor and other clients with remote MCP support):

https://mcp.apify.com?tools=automationnation/youtube-transcript-scraper

Local config for Claude Desktop / Cursor — mcp/claudedesktopconfig.json:

Shortened. The full README is on GitHub.