YouTube Comments API

Brief

Input

API

Pricing

Brief

What is YouTube Comments API?

BrowserAct’s YouTube Comments API lets you extract structured video list data plus comment data from YouTube through a single API request.

No scripts, no brittle scraping, no manual export.

Simply pass your keywords, set Comments_limit, and choose Scroll_count. BrowserAct automatically runs the workflow in the background, traverses the video results list, opens each video, loads the comments section by scrolling, and returns clean, ready to use video and comment data directly via API.

What data can you get through YouTube Comments API?

The API returns two linked datasets, designed for immediate analysis and automation.

Video fields

video_name: Video title shown in the list
video_url: Video URL
video_publication_time: Published time (as shown on YouTube)
video_view_count: View count (as shown on YouTube)

Comment fields

commenter_name: Comment author display name
commenter_url: Comment author channel URL
comment_text: Comment content
comment_publish_date: Comment publish time (as shown on YouTube)
comment_likes: Like count for the comment
reply_count: Number of replies (if available)

Why YouTube Comments API is right for you

One call integration

Send video plus comment data directly into your CRM, BI tools, databases, or automation workflows via API.

Zero maintenance

No scraping scripts, no selector babysitting, and no proxy or anti bot setup required.

Audience insight at scale

Turn comments into product feedback, objections, feature requests, and sentiment signals.

Built for workflows

Perfect for content research, competitive monitoring, community insight, and topic tracking.

In short

Search → API call → Video list plus comments delivered

API Parameters

Parameter	Description	Default	Supported values (examples)
keywords	Search keywords used to find videos on YouTube	AI	Any keyword or phrase e.g. AI, automation, n8n, web scraping
Comments_limit	Maximum number of comments to extract per video	10	Positive integer e.g. 10, 20, 50
Scroll_count	Number of times to scroll in the comments section to load more comments before extraction	2	Positive integer e.g. 1, 2, 5, 10

Code to integrate

Click Get code, replace the API key, and run the code directly in your application.

API Key, get from: https://www.browseract.com/reception/integrations
 API_KEY = os.getenv("BROWSERACT_API_KEY", "app-abcdefghijklmn")

You only need to replace:

 app-abcdefghijklmn

with your own API key, and the code will run successfully.

You can find your API key in the API & Integrations section of the BrowserAct dashboard.

API Example

Input

keywords: AI

Comments_limit: 10

Scroll_count: 2

Steps

Click Get the Code
Run the request
Receive structured results via API

API Results

{
"item": [
{
"video_name": "AI’s exponential leap: What next for jobs?",
"video_url": "https://www.youtube.com/watch?v=tYvYYFJ3Gww&pp=ygUCQUk%3D",
"video_publication_time": "22 hours ago",
"video_view_count": "22K views"
}
],
"children_1": [
{
"commenter name": "@JJSeattle",
"commenter url": "https://www.youtube.com/@JJSeattle",
"comment_text": "Oh sure, jobs are safe... . Tell that to the writers, editors, voice over actors, artists, models, etc.",
"Comment publish date": "16 hours ago",
"comment_likes": "23",
"reply_count": "Reply"
},

Create Your Own YouTube Comments API

To create your own YouTube Comments API, start from a prebuilt template.

Click Create from Template in the top-right corner
Complete the setup
You’ll receive a callable workflow_id

Once created, you can use the BrowserAct API to invoke your workflow programmatically and retrieve YouTube video and comment data directly in your application.