YouTube Data Without Quota Complexity

Video details, full subtitles in any language, comments, channel listings, and search. Five endpoints, credit-based pricing, no daily quota resets or unit management.

Start Free — 1,000 Credits View API Documentation
5 dedicated YouTube endpoints Full subtitle/transcript extraction Comments without 100-unit quota cost No YouTube API project or OAuth required

YouTube's Quota System Punishes the Wrong Use Cases

YouTube's Data API v3 works, but its quota system creates unexpected bottlenecks. You get 10,000 units per day. A video lookup costs 1–3 units. A search costs 100 units. A comment thread request costs 100 units. This means you can either search 100 times or pull 100 comment threads per day, but not both.

Subtitle extraction through official channels requires OAuth and only works for videos you own or have caption editing access to. For the most common use case — extracting transcripts from public videos for content research — the official API doesn't help.

The daily quota reset at midnight Pacific means your application's capacity is time-dependent. Plan around midnight PST or accept that your pipeline stops processing halfway through the day.

All YouTube Endpoints

Endpoint What It Returns Cost
/api/youtube/video Video details: title, views, likes, duration, tags, channel 1 credit
/api/youtube/video/subtitles Full timestamped subtitles in any available language 1 credit
/api/youtube/video/comments Comments with authors, likes, reply threads 1 credit/page
/api/youtube/channel/videos Channel video listings with metadata 1 credit/page
/api/youtube/search/videos Search YouTube by keyword 1 credit/page

Full documentation, code examples, and use cases →

The Subtitle Advantage

Subtitles are the single most valuable YouTube data type for content research, and the hardest to get through official channels.

Python 
import requests

API_KEY = "YOUR_API_KEY"
BASE = "https://api.anysite.io"
headers = {"access-token": API_KEY}

# Extract full transcript from any public video
subtitles = requests.post(
    f"{BASE}/api/youtube/video/subtitles",
    headers=headers,
    json={
        "video_id": "abc123",
        "language": "en"
    }
).json()

# Full text for LLM analysis
transcript = " ".join(seg["text"] for seg in subtitles["segments"])

# Timestamped segments for precise references
for seg in subtitles["segments"]:
    print(f"[{seg['start']:.1f}s] {seg['text']}")

What this unlocks:

  • Build searchable knowledge bases from video libraries
  • Summarize conference talks and tutorials with LLMs
  • Extract specific sections by timestamp
  • Analyze content themes across thousands of videos
  • Create written versions of video content

1 credit per video. No OAuth, no ownership requirement, any public video with captions.

Quota Comparison

Operation YouTube Data API v3 Anysite
Video details 1–3 quota units 1 credit
Subtitles Requires OAuth + ownership 1 credit (any public video)
Comment threads 100 quota units 1 credit/page
Search 100 quota units 1 credit/page
Channel videos 100 quota units 1 credit/page
Daily limit 10,000 units No daily limit
Comment threads/day 100 15,000 (Starter plan total)
Searches/day 100 15,000 (Starter plan total)

The difference is most dramatic for comments and search. YouTube's quota system allocates 100 units per comment request, which means your 10,000 daily units get you 100 comment pulls. With Anysite, 100 comment pulls costs 100 credits from a monthly pool of 15,000 — no daily constraint.

Common Workflows

Content Research Pipeline

Search for videos, get details, extract transcripts, pull comments.

YAML Pipeline 
name: youtube-content-research
sources:
  search:
    endpoint: /api/youtube/search/videos
    input:
      query: "kubernetes tutorial 2026"
      count: 20

  details:
    endpoint: /api/youtube/video
    depends_on: search
    input:
      video_id: ${search.video_id}

  transcripts:
    endpoint: /api/youtube/video/subtitles
    depends_on: search
    input:
      video_id: ${search.video_id}
      language: en
    on_error: skip

  comments:
    endpoint: /api/youtube/video/comments
    depends_on: search
    input:
      video_id: ${search.video_id}
      count: 20
    on_error: skip

storage:
  format: parquet
  path: ./data/youtube-research

Video Library Indexing

Extract transcripts from your entire video library for searchable knowledge bases. Every video becomes a queryable text document. Link search results to specific timestamps for direct navigation.

Competitor Channel Analysis

Track competitor channels: posting frequency, view counts, engagement rates, and content themes. Compare across channels to identify what content strategy is working and where the gaps are.

Comment Sentiment Analysis

Pull comments from product review and comparison videos. Use LLM classification for sentiment and feature extraction. Get structured customer feedback straight from the audience.

Frequently Asked Questions

Can I get subtitles from any YouTube video?
From any video that has captions available (auto-generated or manually uploaded). Most English-language videos have auto-generated captions.
Is there a daily request limit?
No daily limit. Your credits are a monthly pool. Use them at whatever pace works for your workflow.
Can I download videos?
No. Anysite extracts structured metadata, subtitles, and comments. For video downloads, use yt-dlp.
What languages are supported for subtitles?
Any language for which the video has captions. Specify the language code (e.g., “en”, “es”, “ja”) in your request.

Start Extracting YouTube Data

7-day free trial with 1,000 credits. Videos, subtitles, comments, channels, search. No quota complexity.

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