Pricing

from $1.30 / 1,000 comments

Go to Store

YouTube Comments Scraper

Try for free

Developed by

Streamers

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.

4.8 (8)

Pricing

from $1.30 / 1,000 comments

139

Total users

6.4K

Monthly users

1.1K

Runs succeeded

99%

Issues response

22 hours

Last modified

7 days ago

Videos

Social media

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

$echo '{
<  "startUrls": [
<    {
<      "url": "https://www.youtube.com/watch?v=xObhZ0Ga7EQ"
<    }
<  ],
<  "maxComments": 10
<}' |
<apify call streamers/youtube-comments-scraper --silent --output-dataset

💬 Youtube Comments Scraper API through CLI

The Apify CLI is the official tool that allows you to use YouTube Comments Scraper 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 Scraper API in Python

YouTube Comments Scraper API in JavaScript

YouTube Comments Scraper OpenAPI definition

YouTube Comments Scraper API

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

karamelo/youtube-comments-scraper

YouTube comment scraper is a powerful tool that extracts valuable data from any YouTube video's comment section. Gather all comments, authors, posting dates, votes, reply counts. Use CSV or Excel or HTML tables, JSON...

karamelo

YouTube Comments Scraper 🚀 | Pay Per Result

genial_candlestand/youtube-comments-scraper-ppr

🔍 Unleash the Power of YouTube Comments: Extract insightful comments from one or multiple YouTube videos effortlessly! 🚀 Export the data in your preferred format: HTML, JSON, CSV, Excel, or XML. Perfect for sentiment analysis, content improvement, and audience research. 📊✨

Flowo

YouTube Comments

datasaurus/youtube-comments

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.

datasaurus

Youtube Comments Scraper

easy_peasy_api/youtube-comments-scraper

Easily collect full text YouTube comments with this tool! Just enter video URLs, and get all the data you need in JSON format, including comment text, like counts, and commenter info. Great for researchers and developers.

Easy_Peasy_API

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

Youtube Comments (1$/month - Reliable! & Efficient!)

insight_api_labs/youtube-comments-1-month---reliable-efficient

Our YouTube Comments Scraper is the most affordable, efficient, and dependable tool on Apify for extracting comments from YouTube videos.

InsightAPILabs

Youtube Comments Scraper (Pay Per Results)

easy_peasy_api/youtube-comments-scraper-pay-per-results

Easy_Peasy_API

Youtube Shorts Comments Scraper

karamelo/youtube-shorts-comments-scraper

YouTube shorts comment scraper is a tool that extracts valuable data from any YouTube shorts video's comment section. Gather all comments, authors, posting dates, votes, reply counts. Use CSV or Excel or HTML tables, JSON... Scrape 100 comments in ~30 seconds and 1000 comments in ~5 minutes or less

karamelo