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YouTube Video Comment Replies API

Scrape YouTube Video Comment Replies data with one API call. Fetches replies to a specific comment on a YouTube video. Each reply includes text content, author details, like count, and publish date. Requires a continuationToken from the Comments endpoint.

Last updated June 2026

Try the YouTube Video Comment Replies API

See real data before writing a single line

GET/v1/youtube/video/comment/replies

Continuation token for the comment replies. Use 'repliesContinuationToken' from the Comments endpoint, or 'continuationToken' from a previous replies response to paginate.

Searching 39 platforms in parallel

·TikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·UUtility·Universal Search
·TikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·UUtility·Universal Search
·TikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·UUtility·Universal Search
·TikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·UUtility·Universal Search
YouTube API

What can you do with the Video Comment Replies API?

The Video Comment Replies endpoint gives you structured YouTube data with computed fields in a single request. No scraping infrastructure to build or maintain.

Example Request

curl "https://www.socialcrawl.dev/v1/youtube/video/comment/replies?continuationToken=Eg0SC2RRdzR3OVdnWGNRGAYygwEaUBIa..." \
  -H "x-api-key: YOUR_API_KEY"
import requests

response = requests.get(
    "https://www.socialcrawl.dev/v1/youtube/video/comment/replies",
    headers={"x-api-key": "YOUR_API_KEY"},
    params={"continuationToken": "Eg0SC2RRdzR3OVdnWGNRGAYygwEaUBIa..."},
)
data = response.json()
const params = new URLSearchParams({
  "continuationToken": "Eg0SC2RRdzR3OVdnWGNRGAYygwEaUBIa...",
});

const response = await fetch(`https://www.socialcrawl.dev/v1/youtube/video/comment/replies?${params}`, {
  headers: { "x-api-key": "YOUR_API_KEY" },
});
const data = await response.json();

Parameters

ParameterRequiredDescription
continuationTokenYesContinuation token for the comment replies. Use 'repliesContinuationToken' from the Comments endpoint, or 'continuationToken' from a previous replies response to paginate.
API Details

How does the YouTube Video Comment Replies API work?

Send a GET request with your API key and get back clean, structured JSON. Every response follows our unified schema with computed fields.

Method

GET

Response

JSON

Why SocialCrawl

Why use SocialCrawl for YouTube Video Comment Replies data?

We handle the complexity of YouTube data extraction so you can focus on building. Unified schema, AI enrichment, and zero platform logic in your code.

Developer First

How do you scrape social media data in seconds?

The fastest social media scraping API for developers. Scrape profiles, posts, comments, and analytics from 39 platforms covering 10B+ monthly active users.

One schema, every platform

Query 39 platforms with identical response structures. Write your integration once.

Computed fields, not just scraped

Every response includes engagement_rate, estimated_reach, content_category, and language — ready to use.

See your data before you code

Visual Data Explorer — paste any URL, get rich result cards, sortable tables, CSV export.

import requests

response = requests.get(
    'https://www.socialcrawl.dev/v1/tiktok/profile',
    params={'handle': 'charlidamelio'},
    headers={'x-api-key': 'sc_YOUR_API_KEY'}
)
data = response.json()
[ .JSON ]
{
  "success": true,
  "platform": "tiktok",
  "data": {
    "author": {
      "username": "charlidamelio",
      "followers": 152400000
    },
    "engagement": {
      "likes": 12400000000,
      "engagement_rate": 0.087
    },
    "metadata": {
      "language": "en",
      "content_category": "lifestyle"
    }
  }
}
+ 39 platforms

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