YouTube Transcript API with Search, Channels & Playlists 🎬 15M+ transcripts/month 🚀 REST API & MCP for AI agents 🦀👾🤖
Joined February 2026
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I turned ChatGPT into a YouTube research agent 🤯
It searched 5 pizza tutorials, read every transcript, compared the methods, built one perfect recipe—and linked its findings to the exact moments in each video.
Here’s how 👇
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I turned Claude into a YouTube research bot using TranscriptAPI.
Here’s how to build it in minutes 👇
Claude can now watch YouTube for you. 👀
@SimunajAdrijan I connected it to TranscriptAPI and turned it into a full YouTube research bot.
Now Claude can:
→ Search YouTube videos
→ Read entire transcripts
→ Compare multiple videos
→ Find exact moments with timestamps
→ Turn hours of content into useful answers
Here’s exactly how to set it up 👇
youtu.be/DGe7Vy6jI3g?si=3ft6…
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TranscriptAPI retweeted
We Integrated TranscriptAPI.com into @Berrycrawl for YouTube transcripts.
Super easy to integrate, and their caching layer is genuinely unmatched. Takes years to build something like it.
Made zero sense to rebuild this ourselves.
Great products should be built on great infrastructure together 🤝
Your AI agent can now read YouTube.
Give @Berrycrawl a watch, Shorts, live, embed, or youtu.be URL.
One API call returns a clean, timestamped transcript + video metadata.
5 credits ($0.005) per successful request. No Subs Only PAYG berrycrawl.com
Every YouTube video is a blog post, a newsletter, and a Twitter thread waiting to happen.
The text already exists: it's the transcript.
Pull it. Clean it. Restructure it.
One 20-minute video = 3,000+ words of original content for inspiration.
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Try transcriptapi.com 100 free credits to start.
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Wrong: "Transcripts are only useful for subtitles."
Transcripts are text. Text is the universal input for LLMs, search engines, analytics, and content tools.
Every YouTube video is a document waiting to be indexed. 800M+ documents. Most untouched.
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Wrong: "You need a headless browser to get transcripts."
This is the biggest misconception. It leads developers to build fragile scrapers that break every few weeks.
A proper API handles extraction without browsers, proxies, or CAPTCHA solving.
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Wrong: "Auto-generated captions are garbage."
That was true in 2019. Post-2022, YouTube's speech recognition is remarkably accurate.
We've processed millions of auto-generated transcripts. Error rates are low enough for RAG, search, and summarization at scale.
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Wrong: "YouTube doesn't have an API for transcripts."
It doesn't have a PUBLIC one. But transcripts exist for nearly every video including auto-generated ones.
~94% of videos have extractable transcripts. The data is there. The access layer was missing.
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5 things most developers get wrong about YouTube data:
(We've processed 15M+ transcripts/month. Some of these surprised us too.)
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All of these run on a single endpoint:
GET /youtube/transcript?videoId=VIDEO_ID
49ms median response.
15M+ transcripts processed monthly.
100 free credits to start. No card required.
transcriptapi.com
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Use case 3: Automated course notes.
Index an online course playlist.
Pull all transcripts.
Run each through an LLM.
Output: chapter summaries, key terms, flashcards, and a study guide.
One builder shipped this as a SaaS and charges $12/month.
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Use case 2: Competitor intelligence.
Extract transcripts from a competitor's entire YouTube channel.
Feed them to an LLM: "Extract every product claim, pricing mention, and feature announcement."
Output: Their full content strategy in a spreadsheet. Updated weekly.
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Use case 1: Semantic search engines.
Pull every transcript from a channel → chunk into paragraphs → embed with OpenAI → store in Pinecone.
Result: Search 5,000+ hours of video content by meaning, not keywords.
One developer built this for TED Talks in a weekend.
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The problem isn't access. It's extraction.
YouTube doesn't offer a transcript API.
So devs build scrapers.
Those scrapers get blocked within days.
Rate limits. CAPTCHAs. IP bans.
Most give up here.
The ones who don't build something interesting:
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YouTube has 800 million videos.
Most of them have a transcript.
We analyzed how the top AI builders are using this data.
Most developers are leaving it completely untouched:
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15M transcripts extracted last month.
Zero headless browsers.
Zero Selenium instances.
Zero puppeteer configs.
Just a GET request and a Bearer token.
YouTube transcript extraction doesn't need to be hard.
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Most "YouTube transcript" tools:
❌ Break when YouTube updates
❌ Require browser automation
❌ Rate limited to ~100 requests/day
❌ No search, no playlists, no channels
TranscriptAPI:
✅ Production-grade REST API
✅ 49ms response times
✅ Full search, channels, playlists
✅ MCP Supported
✅ 1K credits/mo for $5
Built for developers 💪
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