YouTube Comments Without the Quota Wall
The YouTube Data API v3 gives you 10,000 units per day. Each comment page pull costs 100 units. That's 100 requests before you hit the ceiling. Anysite uses credits, not API quotas. Starter plan: 15,000 comment pages per month.
What You Get
No daily quota cap — credits reset monthly, not daily.
1 credit per page of up to 100 comments, including reply threads.
Structured JSON output — id, author, author_id, text, like_count, reply_count, published_at, replies[].
Works via REST API, Python, Node.js, cURL, or CLI.
7-day free trial, 1,000 credits included — no credit card required.
YouTube Data API Quota Problem Explained
The YouTube Data API v3 allocates 10,000 units per day per Google Cloud project. A single comment list request — the commentThreads.list call — costs 100 units. That leaves you 100 comment-page pulls per day before the ceiling.
The math compounds fast. A video with 5,000 comments contains 250 pages at 20 comments each. Retrieving all of them requires 25,000 units — two and a half days of quota on a single video. Running a pipeline across 10 videos means you're planning in weeks, not hours.
The workarounds developers reach for all carry costs. Creating multiple Google Cloud projects and cycling between them works until Google flags the pattern. Using third-party API key reseller services puts all your keys at risk. Neither approach solves the root problem: YouTube designed the Data API for display use cases, not bulk extraction.
The quota reset architecture makes the situation worse. Quota resets at midnight Pacific. If your pipeline hits the ceiling at 11pm, you wait hours to resume.
Anysite doesn't use the YouTube Data API. It accesses comment data directly and returns structured JSON. Credits are monthly, not daily. A Starter plan at $49/month gives you 15,000 comment pages — the equivalent of 1.5 million individual comments at 100 per page.
YouTube Comments Extraction Methods Compared
| DIY (Python) | Open Source (yt-dlp, ytcomments) | Official API (YouTube v3) | Anysite | |
|---|---|---|---|---|
| Setup time | Days–weeks | 30–60 minutes | 30–60 minutes (GCP) | Under 5 minutes |
| Daily limit | No cap (until detected) | No cap (until detected) | 100 pulls/day | No daily cap |
| Monthly cost | Infrastructure only | Free (self-hosted) | Free (quota-limited) | $49 (15K pages) |
| Maintenance burden | High | Medium | Low | None — self-healing |
| Structured JSON | Manual parsing | Inconsistent | Yes | Yes — fixed schema |
| Reply threads | Extra implementation | Varies | Separate API call | Included in same response |
| Rate limit handling | Manual | Manual | Quota-based | Managed — 60 req/min Starter |
| Best for | Prototyping | Budget, technical teams | Low volume | Production extraction at scale |
Connect YouTube Comments in 5 Minutes
Authentication
All Anysite API requests use the access-token header. There is no OAuth flow, no Google Cloud project, no YouTube API key required.
POST https://api.anysite.io/api/youtube/video/comments access-token: ak_live_xxxxxxxxxxxxxxxxxxxx Content-Type: application/json
Endpoint: POST /api/youtube/video/comments
Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
video_id | string | Yes | — | YouTube video ID (11 chars) |
count | integer | No | 20 | Max comments per page. Range: 1–100. |
sort_order | string | No | "top" | "top" (by relevance) or "new" |
cursor | string | No | null | Opaque pagination cursor from previous response |
include_replies | boolean | No | true | Include reply threads in response |
Response Schema
{
"comments": [
{
"id": "UgxABC123_comment_xyz",
"author": "username_display",
"author_id": "UCxxxxxxxxxxxxxxxxxxxxxxxx",
"text": "The full comment text including line breaks.",
"like_count": 142,
"reply_count": 7,
"published_at": "2024-11-15T09:33:00Z",
"replies": [
{
"id": "UgxABC123_comment_xyz.reply1",
"author": "another_user",
"text": "Reply text here.",
"like_count": 12,
"published_at": "2024-11-15T11:02:00Z"
}
]
}
],
"total_comments": 48291,
"has_more": true,
"next_cursor": "eyJwYWdlIjoyLCJ0b2tlbiI6Ii4uLiJ9"
}
Credit cost: 1 credit per page. Reply threads included at no extra cost.
Start in Under 5 Minutes
import requests import csv API_KEY = "ak_live_xxxxxxxxxxxxxxxxxxxx" BASE_URL = "https://api.anysite.io/api/youtube/video/comments" def fetch_all_comments(video_id: str) -> list[dict]: headers = {"access-token": API_KEY, "Content-Type": "application/json"} all_comments = [] cursor = None while True: payload = {"video_id": video_id, "count": 100, "sort_order": "top"} if cursor: payload["cursor"] = cursor r = requests.post(BASE_URL, headers=headers, json=payload) r.raise_for_status() data = r.json() all_comments.extend(data["comments"]) if not data.get("has_more"): break cursor = data["next_cursor"] return all_comments comments = fetch_all_comments("dQw4w9WgXcQ") print(f"Total comments collected: {len(comments)}") with open("comments.csv", "w", newline="", encoding="utf-8") as f: writer = csv.DictWriter( f, fieldnames=["id", "author", "text", "like_count", "reply_count", "published_at"], extrasaction="ignore" ) writer.writeheader() writer.writerows(comments)
const axios = require('axios'); const client = axios.create({ baseURL: 'https://api.anysite.io', headers: { 'access-token': process.env.ANYSITE_API_KEY, 'Content-Type': 'application/json' } }); async function* commentPages(videoId) { let cursor = null; let hasMore = true; while (hasMore) { const payload = { video_id: videoId, count: 100, sort_order: 'top' }; if (cursor) payload.cursor = cursor; const { data } = await client.post('/api/youtube/video/comments', payload); yield data.comments; hasMore = data.has_more; cursor = data.next_cursor; } } async function fetchAllComments(videoId) { const all = []; for await (const page of commentPages(videoId)) { all.push(...page); console.log(`Collected ${all.length} comments so far`); } return all; } fetchAllComments('dQw4w9WgXcQ').then(c => console.log(`Done. ${c.length} total.`));
curl -X POST "https://api.anysite.io/api/youtube/video/comments" \ -H "access-token: ak_live_xxxxxxxxxxxxxxxxxxxx" \ -H "Content-Type: application/json" \ -d '{"video_id": "dQw4w9WgXcQ", "count": 100, "sort_order": "top"}'
curl -X POST "https://api.anysite.io/api/youtube/video/comments" \ -H "access-token: ak_live_xxxxxxxxxxxxxxxxxxxx" \ -H "Content-Type: application/json" \ -d '{ "video_id": "dQw4w9WgXcQ", "count": 100, "cursor": "eyJwYWdlIjoyLCJ0b2tlbiI6Ii4uLiJ9" }'
pip install anysite-cli anysite config set api_key ak_live_xxxxxxxxxxxxxxxxxxxx
anysite api /api/youtube/video/comments video_id="dQw4w9WgXcQ" count=100 sort_order="top"
anysite api /api/youtube/video/comments video_id="dQw4w9WgXcQ" count=100 > comments.json
What Teams Build With This
Sentiment Analysis at Scale
Who
Market research teams, brand analysts, consumer insights consultants.
Problem
Manually reading comments on a product review video is tractable for 50 comments. It breaks down at 5,000. At 50,000 — across dozens of competitor videos — it's not humanly possible.
How they use it
Pull all comments from target videos into a database. Run sentiment classification on each comment. Aggregate by topic, author intent, and publish date to track sentiment shift over a product lifecycle.
Audience Research for Content Teams
Who
YouTube creators, content strategists, media companies.
Problem
Top-performing content is visible. What drives the engagement — specific angles, phrases, or topics — is buried in thousands of comments.
How they use it
Extract all comments from the top 20 videos in a topic. Identify the most upvoted comments. Find recurring phrases and questions. Map language back to titles, thumbnails, and scripts.
AI Training and Fine-Tuning Datasets
Who
ML engineers, NLP researchers, AI startups.
Problem
Models that understand informal language, opinion expression, or platform-native writing need large, diverse text samples. Comment sections are one of the best sources.
How they use it
Pull comments from thousands of videos across categories. Filter by length, engagement, and language. Structure the output with metadata to create labeled training pairs.
How It Compares
| Anysite | YouTube Data API v3 | Apify (YouTube Scraper) | yt-dlp | |
|---|---|---|---|---|
| Daily limit | None (monthly credits) | 10,000 units/day | None (actor-based) | None |
| Comment pulls per day | No daily cap | 100/day (100 units each) | Depends on actor | No cap |
| Monthly cost | $49 (15K pages) | Free (quota capped) | $49+ (variable) | Free (self-hosted) |
| Auth required | API key | Google OAuth + API key | Apify account | None |
| Structured JSON | Yes — fixed schema | Yes | Varies by actor | No |
| Pagination | Cursor-based | pageToken | Actor-specific | N/A |
| Reply threads | Included in page response | Separate API call (+100 units) | Varies | Partial |
| Setup time | Under 5 minutes | 30–60 minutes | 15 minutes | 10 minutes |
| Rate limit | 60 req/min (Starter) | Quota-based | Actor-based | N/A |
| No Google account | Yes | No | No | Yes |
One Plan Covers Most Use Cases
Starter — $49/month
- 15,000 credits included
- 1 credit = 1 comment page (up to 100 comments)
- Up to 1,500,000 comments per month
- Rate limit: 60 requests/minute
- 7-day free trial, 1,000 credits
Growth — $200/month
- 100,000 credits included
- 100,000 comment pages per month
- Rate limit: 90 requests/minute
- Best for continuous monitoring pipelines
Scale — $300/month
- 190,000 credits included
- Rate limit: 150 requests/minute
PAYG top-ups available at $2.90 per 1,000 credits on any active plan. Top-up credits roll over for 12 months. All plans cover all Anysite endpoints — not just YouTube. LinkedIn, Instagram, Twitter, Reddit, Crunchbase, and more.
Common Questions
count: 100. Setting a lower count still costs 1 credit but returns fewer comments. To retrieve 200 comments efficiently, use count: 100 for 2 credits. Reply threads are included at no extra cost.next_cursor and a has_more flag. Pass next_cursor as cursor in your next request. Continue until has_more is false. At count: 100 and 60 req/min on Starter, you can pull approximately 6,000 comments per minute. Starter's 15,000 monthly credits cover ~1.5M comments before you need a top-up or higher plan.commentThreads.list request costs 100 units — meaning 100 comment-page pulls per day. Fetching reply threads requires a separate call, consuming additional quota./api/youtube/video/comments endpoint returns comment data only. For video statistics (views, likes, channel data), use the /api/youtube/video endpoint. Both accept the same video_id parameter and cost 1 credit per call. See YouTube Video Data.id, author, author_id, text, like_count, reply_count, published_at (ISO 8601 UTC), and replies[]. The total_comments field gives the full comment count on the video.Related Endpoints
15,000 comment pages per month at $49
Seven-day free trial. 1,000 credits included. No credit card required to start. Full API access from day one.