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
Searching 39 platforms in parallel
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
| Parameter | Required | Description |
|---|---|---|
| continuationToken | Yes | Continuation token for the comment replies. Use 'repliesContinuationToken' from the Comments endpoint, or 'continuationToken' from a previous replies response to paginate. |
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
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(){
"success": true,
"platform": "tiktok",
"data": {
"author": {
"username": "charlidamelio",
"followers": 152400000
},
"engagement": {
"likes": 12400000000,
"engagement_rate": 0.087
},
"metadata": {
"language": "en",
"content_category": "lifestyle"
}
}
}Ready to scrape YouTube Video Comment Replies data?
Get your API key and start pulling YouTube data in under 60 seconds.
