YouTube Transcript Scraper — Subtitles for AI

YouTube Transcript Scraper — Subtitles for AI

YouTube Transcript Scraper extracts structured YouTube Transcript records, metadata, metrics, and direct links in real time. Built on a zero-browser HTTP/2 engine running in 256 MB RAM, it delivers normalized datasets with zero null fields ready for CSV, Excel, JSON, or API pipelines.

Looking for related scrapers? Check out YouTube Scraper, YouTube Comments Scraper, YouTube Channel & Creator Intelligence Scraper, YouTube Shorts Scraper, or browse our full catalog of 118+ dedicated scrapers.

---

What does YouTube Transcript Scraper do?

Ultra-fast YouTube video transcript and subtitles extractor. Generates clean continuous text for AI / LLMs and timed segment subtitles in.... Compatible Make.com, Zapier, n8n, Sheets & Webhooks. 256MB RAM & sub-second speed.

Whether you need to monitor YouTube Transcript at scale, enrich B2B/B2C databases, or feed structured records into analytics and AI workflows, YouTube Transcript Scraper handles pagination, field normalization, and schema validation automatically:

• Bulk Data Extraction: Collect YouTube Transcript listings, items, and detailed attributes in batches using keywords, filters, or direct URLs.
• Complete Public Metadata: Capture identifiers, pricing/engagement metrics, author/vendor details, timestamps, and canonical URLs.
• Multi-Format Export: Download results in JSON, CSV, Excel (XLSX), XML, or HTML Table directly from the Apify Console.
• Ready for Automation & AI: Connect seamlessly to Apify Integrations (Make, Zapier, n8n, Google Sheets), REST API endpoints, or the Apify MCP Server.

Beyond the Official YouTube Transcript API

• No API Keys or Approval Delays: Start extracting public YouTube Transcript data immediately without registering developer apps or waiting for quota approvals.
• No Restrictive Rate Quotas: Bypass strict per-minute API limits and expensive enterprise tiers while capturing the complete public data points displayed on YouTube Transcript.
• 256 MB Zero-Browser Architecture: Uses native HTTP/2 and TLS session emulation instead of heavy Chromium instances, executing in seconds at a fraction of standard compute costs.

---

What data can you scrape from YouTube Transcript?

YouTube Transcript Scraper extracts the following data points from YouTube Transcript:

🔗 Video URLs (videoUrls)	📝 Language (language)	📅 Format Output (formatOutput)
📝 Clean Filler Words (cleanFillerWords)	🆔 Video ID (videoId)	🔗 Video URL (videoUrl)
📝 Title (title)	👤 Channel (channel)	📅 Duration Minutes (durationMinutes)
📅 Output Format (outputFormat)	📝 Full Transcript (fullTranscript)	📝 Markdown Transcript (markdownTranscript)

Data Category	Extracted Fields & Data Points
Identity & Core Identifiers	videoId (Video ID), title (Title)
Metrics, Pricing & Engagement	wordCount (Word Count), totalSegments (Total Segments)
Details, Attributes & Context	language (Language), cleanFillerWords (Clean Filler Words), channel (Channel), fullTranscript (Full Transcript), markdownTranscript (Markdown Transcript), segments (Segments)
Direct Links, Media & Timestamps	videoUrls (Video URLs), formatOutput (Format Output), videoUrl (Video URL), durationMinutes (Duration Minutes), outputFormat (Output Format), scrapedAt (Scraped At)

---

Why scrape YouTube Transcript? (Typical Use Cases & Guides)

You can use YouTube Transcript Scraper for a wide range of data and business workflows:

• AI Video Summaries: Feed clean video transcripts into LLMs (Claude, GPT-4, Gemini) to generate bullet summaries.
• SEO Blog Post Creation: Repurpose spoken YouTube video content into long-form SEO blog articles and guides.
• Content Search & Retrieval: Search specific keywords across hundreds of video transcripts in seconds.
• AI Agents, RAG & LLM Knowledge Pipelines: Stream clean, structured YouTube Transcript JSON records into vector databases, Claude, GPT-4, or LangChain workflows.
• Automated BI Dashboards & Scheduled Alerts: Schedule daily or hourly runs and push live YouTube Transcript updates directly to Google Sheets, Looker Studio, Slack, or webhooks.
• Market Research & Competitor Analysis: Benchmark YouTube Transcript offerings, pricing strategies, and market share across regions.
• Lead Generation & CRM Enrichment: Build targeted prospect lists and sync verified records straight into HubSpot, Salesforce, or Clay.
• AI Agents & RAG Pipelines via MCP: Connect live YouTube Transcript data directly to Claude Desktop, Cursor, or LangChain agents.

---

How to scrape YouTube Transcript data

YouTube Transcript Scraper is designed for a zero-configuration start, even if you have never scraped data before:

1. Create a free Apify account using your email (includes $5.00 in free monthly credits).
2. Open YouTube Transcript Scraper and click on the Input tab — all required fields are already pre-filled with a working example.
3. Enter your search terms, target URLs, or filter criteria (or keep the default pre-filled configuration for an instant 1-Click test).
4. Click the green "Start" button and wait a few seconds for the data to be extracted.
5. Download your dataset in JSON, CSV, Excel (XLSX), or HTML, or fetch it via the API tab.

For more technical details on every parameter, check out the Input Schema tab or read the Apify Platform Documentation.

🔗 How to scrape YouTube Transcript by Search Term or Direct URL

Scraping by Search Term / Filter 🔑	Enter keywords, categories, or filter parameters just as you would search on YouTube Transcript. Set the maximum number of items you want to extract and click Start.
Scraping by Direct URL 🔗	Paste one or more direct YouTube Transcript links (or import a list of URLs from a Google Sheet / CSV) to extract targeted item or profile details in bulk.

---

⬇️ Input Configuration & Examples

To start scraping YouTube Transcript, fill in the visual input form in the Apify Console or pass a JSON payload via the API. Full technical specifications are available on the Input Schema tab.

Input Parameters Reference

Parameter	Type	Default / Prefill	Description
videoUrls	array	["https://www.youtube.com/watch?v=5...	List of YouTube video URLs (e.g. 'https://www.youtube.com/watch?v=5kcaHAuGxmY', 'https://youtu.be/5kcaHAuGxmY') or 11-character video IDs.
language	string	en	Preferred language code for the transcript (e.g. 'en' for English, 'fr' for French, 'es' for Spanish, 'de' for German).
formatOutput	string	json_segments	Choose output formatting: structured JSON with metadata, clean text for direct LLM prompts, or Markdown with timestamps. Options: json_segments, clean_text, markdown_summary.
cleanFillerWords	boolean	false	Automatically remove YouTube audio tags like [Music], [Applause], [Laughter], and hesitations.
mergeSentences	boolean	true	Group fragmented 2-second subtitle snippets into readable paragraphs and full sentences.
maxDurationMinutes	integer	0	Skip or filter videos exceeding this duration in minutes to preserve processing quota (0 = unlimited).
includeTimedSegments	boolean	true	Include array of micro-timed subtitle segments with start, duration, and offset timestamps.
proxyConfiguration	object	{"useApifyProxy":true}	Select Apify Proxy (Residential or Datacenter) to prevent IP rate limits during bulk extraction.

Example 1: Standard Extraction (1-Click Default)

{
  "videoUrls": [
    "https://www.youtube.com/watch?v=5kcaHAuGxmY"
  ],
  "language": "en",
  "formatOutput": "json_segments",
  "cleanFillerWords": false
}

Example 2: Filtered & Batch Extraction

{
  "videoUrls": [
    "https://www.youtube.com/watch?v=5kcaHAuGxmY"
  ],
  "language": "en",
  "formatOutput": "clean_text",
  "cleanFillerWords": true,
  "mergeSentences": true,
  "maxDurationMinutes": 50,
  "includeTimedSegments": true
}

---

⬆️ Output Example (Table View, JSON & Fields Reference)

The scraped results are stored in a structured Apify Dataset available in the Storage tab. Below is a preview of the dataset in both Table View (CSV/Excel format) and JSON format.

Table View (CSV / Excel Dataset Preview)

Video URLs	Language	Format Output	Clean Filler Words
https://www.youtube.com/watch...	en	json_segments	false
https://www.youtube.com/watch...	en	json_segments	false
https://www.youtube.com/watch...	en	json_segments	false

JSON Output Example

{
  "videoUrls": [
    "https://www.youtube.com/watch?v=5kcaHAuGxmY"
  ],
  "language": "en",
  "formatOutput": "json_segments",
  "cleanFillerWords": false
}

Output Fields Reference

Field Name	Type	Description
videoUrls	array	Extracted video urls value.
language	string	Language code of the transcript
formatOutput	string	Extracted format output value.
cleanFillerWords	boolean	Extracted clean filler words value.
videoId	string	YouTube unique 11-character video ID
videoUrl	string	Full YouTube watch URL
title	string	Video title
channel	string	Channel name
durationMinutes	number	Video duration in minutes
outputFormat	string	Output formatting used
fullTranscript	string	Continuous clean transcript text ready for LLM processing and summarization
markdownTranscript	string	Markdown document with timestamp headers
wordCount	integer / number	Total word count of the transcript
totalSegments	integer / number	Number of timed subtitle segments
segments	array	Array of timed subtitle events with start, duration, and text
scrapedAt	string	Scrape execution timestamp

---

🔗 Scrape any data you need with dedicated scrapers

Combine YouTube Transcript Scraper with our other dedicated scrapers from @RBBscrap if you want to extract specialized data across platforms:

🔹 YouTube Scraper	🔹 YouTube Comments Scraper	🔹 YouTube Channel & Creator Intelligence Scraper
🔹 YouTube Shorts Scraper	🔹 YouTube Playlist & Course Scraper	🔹 YouTube Trending & Viral Charts Scraper

Scraper	Extracted Data & Primary Use Case
YouTube Scraper	Videos, Shorts & Channels
YouTube Comments Scraper	Comments & Sentiment
YouTube Channel & Creator Intelligence Scraper	Extract structured YouTube Channel & Creator Intelligence datasets and metrics
YouTube Shorts Scraper	Viral Videos, Sounds & Creators
YouTube Playlist & Course Scraper	Extract structured YouTube Playlist & Course datasets and metrics
YouTube Trending & Viral Charts Scraper	Extract structured YouTube Trending & Viral Charts datasets and metrics

---

⚠️ Error Items & Resilience Reference

YouTube Transcript Scraper is engineered to process multi-query and batch runs resiliently without crashing if a single query or URL fails:

Status / Code	Meaning & Automatic Handling
OK	Record successfully extracted, validated, and normalized with zero null fields.
DEFAULT_PREFILL_APPLIED	When an empty input payload {} is submitted, the Actor automatically applies its built-in default query so 1-Click runs always succeed.
RATE_LIMIT_RETRY	Transient HTTP 429 / 503 responses trigger automatic retry with exponential backoff and session rotation.
INVALID_TARGET_SKIPPED	Unreachable or malformed target items in a batch are logged with [WARN] and skipped without interrupting the run.

---

❓ Frequently Asked Questions (FAQ)

How much does scraping YouTube Transcript cost?

YouTube Transcript Scraper uses transparent Pay-Per-Event (PAY_PER_EVENT) pricing set 10x cheaper than the market leader ($\div 10$):

• Event Rate: $0.0003 per Scraped YouTube Transcript Scraper Record ($0.3 per 1,000 items).
• 🎁 1st Run 100% FREE: Your very first execution is 100% free ($0.00 event charges are applied on your initial run).
• Apify Free Plan ($5.00/month included): Every Apify account receives $5.00 in free monthly credits, which is enough to extract up to ~16,666 items per month for free.
• View full details on the Pricing tab and the Apify Pricing page.

Can I integrate YouTube Transcript Scraper with Make, Zapier, n8n, or Google Sheets?

Yes. YouTube Transcript Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform, including Make, Zapier, n8n, Slack, Airbyte, Google Sheets, Google Drive, and webhooks.

Can I use YouTube Transcript Scraper with the Apify API (Python & Node.js)?

Yes. The Apify API gives you programmatic access to run YouTube Transcript Scraper, schedule jobs, and fetch datasets. Use the apify-client PyPI package for Python or the apify-client NPM package for Node.js, or check the Apify API Reference:

Python (apify-client)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_API_TOKEN")

run = client.actor("rbbscrap/youtube-transcript-scraper").call(run_input={
    "videoUrls": ["https://www.youtube.com/watch?v=5kcaHAuGxmY"],
    "language": "en",
    "formatOutput": "json_segments",
    "cleanFillerWords": False
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Node.js (apify-client)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_API_TOKEN' });

const run = await client.actor('rbbscrap/youtube-transcript-scraper').call({
    videoUrls: ["https://www.youtube.com/watch?v=5kcaHAuGxmY"],
    language: "en",
    formatOutput: "json_segments",
    cleanFillerWords: false
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Can I use YouTube Transcript Scraper through an MCP Server (Claude Desktop, Cursor, AI Agents)?

Yes. With the Apify API, you can use YouTube Transcript Scraper in conjunction with an MCP server to connect directly to Claude Desktop, Cursor, Windsurf, or LibreChat. Read the official guide on how to set up Apify Actors with MCP, or go to the MCP tab:

1. Start a Server-Sent Events (SSE) session to receive a sessionId.
2. Send API messages using that sessionId to trigger YouTube Transcript Scraper with your input parameters.
3. Receive structured YouTube Transcript dataset records directly inside your AI agent conversation.

Do I need residential proxies or login cookies to scrape YouTube Transcript?

No. YouTube Transcript Scraper operates on a zero-browser HTTP/2 protocol engine (256 MB RAM) and works out-of-the-box without requiring login cookies or external proxies for standard workloads. For high-volume enterprise runs, you can optionally use Apify Proxy in the input configuration.

Is it legal to scrape data from YouTube Transcript?

Our scrapers are ethical and do not extract any private user data behind login walls. They only extract what is shared publicly on the web. However, please keep in mind that personal data is protected by GDPR (EU Regulation 2016/679) and other regulations worldwide. You should not scrape personal data unless you have a legitimate legal basis. Read more in Apify's guide on the legality of web scraping.

Your feedback & support

We are continuously improving the performance of our Actors. If you have any technical feedback for YouTube Transcript Scraper, need a custom feature, or found a bug, please create an issue on the Actor's Issues tab in the Apify Console.