Pricing

from $9.00 / 1,000 results

Youtube Comments Scraper

Scrape YouTube comments via Apify Proxy: input video URLs to extract comment IDs, content, publish time, emojis, author info (channel ID, name, avatar, verification), and engagement metrics (likes, replies). Ideal for sentiment analysis, community monitoring, and marketing insights.

Pricing

from $9.00 / 1,000 results

Rating

0.0

(0)

Developer

GetDataForMe

Actor stats

Bookmarked

Total users

Monthly active users

22 days ago

Last modified

Categories

Automation

You can access the Youtube Comments Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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Youtube Comments Scraper OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Youtube Comments Scraper from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

Youtube Comments Scraper API in Python

Youtube Comments Scraper API in JavaScript

Youtube Comments Scraper API through CLI

Youtube Comments Scraper API

Youtube Comments Scraper

scrapapi/youtube-comments-scraper

Extract comments from YouTube videos using the YouTube Comments Scraper. Collect comment text, usernames, likes, timestamps, and replies automatically. Ideal for sentiment analysis, audience research, community insights, and content feedback analysis.

ScrapAPI

Youtube Comments Extractor

agenscrape/youtube-comments-extractor

Extract YouTube video comments with ease. Get comment text, author info, likes, reply counts, and timestamps. Supports video URLs and IDs. Extract unlimited comments. Perfect for sentiment analysis, market research, and content monitoring.

Agenscrape

Youtube Comments Scraper

simpleapi/youtube-comments-scraper

YouTube Comments Scraper extracts comments from any YouTube video, capturing usernames, text, timestamps, likes, replies, and comment IDs. Ideal for sentiment analysis, audience research, trend monitoring, and automating structured YouTube comment data collection at scale

SimpleAPI

Youtube Comments Scraper

api-empire/youtube-comments-scraper

Scrape YouTube comments effortlessly with this Apify YouTube Comments Scraper. Extract video comments, usernames, timestamps, likes, and replies from any public video or channel. Ideal for sentiment analysis, audience research, and content strategy. Fast, accurate, and easy to integrate.

API Empire

YouTube Comments Scraper

scrapier/youtube-comments-scraper

Scrape YouTube video comments easily with the YouTube Comments Scraper. Extract usernames, comment text, timestamps, likes, and replies. Ideal for sentiment analysis, trend tracking, and audience research. Fast, reliable, and customizable for any video or channel URL.

Scrapier

5.0

YouTube Comments Scraper

scrapeforge/youtube-comments-scraper

Extract comments and replies from any YouTube video. Scrape by video URL or channel. Get comment text, likes, replies, author info, and more. Fast bulk extraction — export to JSON, CSV, or Excel.

ScrapeForge

YouTube Video Comments scraper

powerai/youtube-video-comment-scraper

Extract comprehensive comments from any YouTube video with detailed metadata including author information, engagement metrics, and timestamps. Perfect for sentiment analysis, community engagement tracking, and content feedback analysis.

PowerAI

Youtube Comments Scraper

scraper_one/youtube-comments-scraper

Extract comments from YouTube videos based on provided video URLs. Retrieve comment text, author info, timestamp, likes, and more. Perfect for audience sentiment analysis, content feedback tracking, and YouTube engagement monitoring.

Scraper One

5.0

Youtube Comments Scraper

scraper-engine/youtube-comments-scraper

YouTube Comments Scraper extracts comments from any public YouTube video or channel. Gather usernames, timestamps, likes, replies, and full comment text. Ideal for sentiment analysis, audience research, or content insights. Export clean structured data in JSON, CSV, or Excel.

Scraper Engine

282

5.0

Youtube Comments Scraper

scrapio/youtube-comments-scraper

Scrapes comments from any YouTube video, capturing usernames, comment text, timestamps, likes, replies, and comment IDs. Ideal for sentiment analysis, audience research, content insights, moderation tools, and large-scale comment data extraction