Pricing

$20.00/month + usage

Go to Store

YouTube Comments - Rental

Try for free

Developed by

datasaurus

Scrape YouTube Video and YouTube Shorts Comments and Replies without limits. Fast and Reliable. Extract author details, published date, like count, viewer rating reply count, video details, channel details. Link Comments and Replies via cascading id numbers.

0.0 (0)

Pricing

$20.00/month + usage

Total users

Monthly users

Runs succeeded

97%

Last modified

a month ago

Social media

Videos

You can access the YouTube Comments - Rental 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

$echo '{
<  "video_urls": [
<    "https://www.youtube.com/watch?v=W001vfAvNvg",
<    "www.youtube.com/shorts/3VdiAJvpAuA",
<    "dZujTBh7M7M"
<  ]
<}' |
<apify call datasaurus/youtube-comments-rental --silent --output-dataset

YouTube Comments - Rental API through CLI

The Apify CLI is the official tool that allows you to use YouTube Comments - Rental locally, providing convenience functions and automatic retries on errors.

Install the Apify CLI

$npm i -g apify-cli
$apify login

Other API clients include:

YouTube Comments - Rental API in Python

YouTube Comments - Rental API in JavaScript

YouTube Comments - Rental OpenAPI definition

YouTube Comments - Rental API

YouTube Comments

datasaurus/youtube-comments

datasaurus

Youtube Scraper | Youtube Channel Scraper

runtime/youtube-channel-scraper

YouTube Channel Scraper is an Apify Actor that scrapes video data and comments from a YouTube channel. It extracts key details such as video title, URL, view count, streaming time (in days), hashtags, description, comments count, and individual comments with user IDs.

Runtime

5.0

Youtube Shorts Scraper

runtime/youtube-shorts-scraper

YouTube Shorts Scraper is an Apify Actor that scrapes video data and comments from the Shorts section of a YouTube channel. It extracts key details such as video title, URL, view count, streaming time (in days), hashtags, description, comments count, and individual comments with user IDs.

Runtime

5.0

Youtube Comments Scraper Pro

red.cars/youtube-comments-scraper-pro

Extract YouTube comments WITHOUT API key - scrape unlimited comments, replies & metadata from any video FREE - no authentication, quotas or limits - perfect for sentiment analysis, market research & brand monitoring

AutomateLab

YouTube Full Channel Comments Extractor ⚡📜💬

scrapestorm/youtube-full-channel-comments-extractor

Looking for a YouTube comments scraper to extract comments from an entire videos channel? 🔍 Your search ends here! With the YouTube Full Channel Comments Scraper 💬, gather all the comments from videos across a channel, including likes, replies & user details. No proxy needed, fast & efficient! ⚡💬

Storm_Scraper

YouTube Comments Scraper 📺💬

easyapi/youtube-comments-scraper

Scrape YouTube video comments efficiently with pagination support. Extract comprehensive comment data including text, author, likes, and timestamps for any YouTube video URL.

EasyApi

Youtube Comment Scraper

supreme_coder/youtube-comment-scraper

Scrape comments from any youtube video or shorts in bulk.

Supreme Coder

YouTube Comments Scraper

streamers/youtube-comments-scraper

This alternative YouTube Data API has no limits or quotas. Extract YouTube comments data from one or multiple YouTube videos: full comment text, posting date, author username, video title, videoId. Download YouTube comments in JSON, CSV, and Excel.

Streamers

6.2K

4.8

Youtube Scraper - Video & Shorts Downloader

saswave/youtube-scraper-video-downloader

Youtube scraper. Extract youtube video and shorts content informations. Collect youtube channel data. Download video file

SASWAVE

Youtube Comments Scraper

getdataforme/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.