---
title: "YouTube Transcript API: Free & Paid Options (2026)"
description: "The official YouTube Data API returns metadata, not third-party transcripts, so this maps the real routes with prices: the free youtube-transcript-api library, Supadata's freemium API, Apify actors at $1.38-$10 per 1,000 transcripts, and Keiro for discovery plus extraction at $0.44 + $1.33 per 1,000 on Startup."
category: "guides"
url: https://keirolabs.cloud/blog/youtube-transcript-api
published: 2026-11-12
updated: 2026-11-12
---

# YouTube Transcript API (2026): Free & Paid Routes, Priced

YouTube's official API will not give you a transcript. The YouTube Data API v3 returns video metadata, titles, views, descriptions, but its captions endpoint requires the *channel owner's* OAuth token, so you cannot pull the transcript of an arbitrary video through it. That single fact is why "YouTube transcript API" is a search at all, and why an ecosystem of free libraries and paid APIs grew to fill the gap. This post maps every route, from the free open-source library to paid APIs built for scale, with real prices.

If you are feeding YouTube transcripts into an LLM or a [RAG pipeline](/blog/best-search-apis-for-rag), the decision is simple: the free library is perfect until it isn't, and paid APIs exist for exactly the moment it isn't, when you need transcripts at volume without getting your IP blocked.

## Can You Get YouTube Transcripts from the Official API?

Not for videos you do not own. The **YouTube Data API v3** is free with a quota of 10,000 units a day, and it is excellent for metadata, search, channel and video details. But `captions.download` only works with an OAuth token from the video's own channel, so it cannot fetch transcripts from third-party videos ([YouTube Data API docs](https://developers.google.com/youtube/v3/getting-started)). For arbitrary videos, you need a tool that reads YouTube's public caption tracks (the `timedtext` data the player uses), which is what the libraries and APIs below do.

Here is the field, priced as of November 12, 2026:

| Route | What it is | Price | Notes |
|---|---|---|---|
| youtube-transcript-api | Open-source Python library | Free | 10M+ downloads; scrapes timedtext, can break or get IP-blocked at scale |
| YouTube Data API v3 | Official metadata API | Free, 10,000 units/day | Metadata only, not third-party transcripts |
| Supadata | Dedicated transcript API | Freemium (verify current tiers) | Managed, handles blocking for you |
| [Apify](/blog/best-web-scraping-apis-2026) transcript actors | Store actors, pay per result | $1.38-$10.00 per 1,000 transcripts | Proxy and reliability handled |
| Keirolabs | Search + extract API | /search/fast $0.44/1k + /search/content $1.33/1k on Startup | Find videos + read their pages, 750 free credits |

## The Free Route: youtube-transcript-api

For small and medium volume, the open-source **youtube-transcript-api** Python library is the standard answer, with over 10 million downloads. It fetches a video's transcript directly from YouTube's public caption data, no API key, no cost:

```python
# pip install youtube-transcript-api
from youtube_transcript_api import YouTubeTranscriptApi

transcript = YouTubeTranscriptApi.get_transcript("dQw4w9WgXcQ")
text = " ".join(chunk["text"] for chunk in transcript)
print(text)
```

The catch is reliability at scale. Because it scrapes rather than using an official endpoint, it breaks when YouTube changes its internals, and YouTube rate-limits and IP-blocks high-volume callers, so a job pulling thousands of transcripts from one server will start failing. That is the exact problem paid APIs solve.

## The Paid Routes: Supadata, Apify, and Managed APIs

When the free library gets blocked, you are paying for proxies and uptime, not magic. **Supadata** is a dedicated transcript API with a freemium model that handles the blocking and formatting for you (confirm current tiers on [supadata.ai](https://supadata.ai/)). **Apify** transcript actors run pay-per-result from about $1.38 to $10.00 per 1,000 transcripts depending on the actor, returning text, timestamps and formats like SRT and VTT ([Apify store](https://apify.com/store?search=youtube+transcript)). These are the right tools for a pipeline that needs thousands of transcripts reliably, where a blocked free library would stall the job.

## Transcripts Plus Discovery with a Search API

If your task is not "transcribe this one video" but "find and read what's being said about X on YouTube and the web," a [search API](/blog/web-search-apis-for-agents-2026) covers the discovery half that a transcript tool does not. With Keiro, `/search/fast` finds relevant videos and pages ($0.44 per 1,000) and `/search/content` returns each page as markdown ($1.33 per 1,000). Pair it with the free `youtube-transcript-api` for the caption text itself: Keiro finds the videos and the surrounding web discussion, the library pulls the words. For an agent researching a topic across YouTube and everywhere else, that combination is the shortest path, on 750 free credits with no card.

## Is It Legal to Pull YouTube Transcripts?

YouTube's terms of service restrict automated access to its content, so high-volume transcript scraping sits in a gray area. Captions are often user- or creator-generated and can carry copyright. The lower-risk posture is to use the official Data API where it suffices, keep transcript pulls to reasonable volume, respect robots and rate limits, avoid redistributing full copyrighted transcripts, and use a reputable managed API rather than hammering YouTube from your own IPs. For a commercial product, get legal advice on your specific use.

The short version: the official API gives metadata, not third-party transcripts. For transcripts, the free youtube-transcript-api is perfect until you hit scale, where Supadata or an Apify actor ($1.38-$10 per 1,000) handles the blocking, and a search API like Keiro adds the discovery layer for researching across YouTube and the web.