Pricing

from $0.01 / 1,000 results

Youtube Community Comments

Scrape Comments from Youtube Posts. YouTube Community Comments Scraper built for high-speed, large-scale comment extraction. Collect comments, replies, and engagement data from posts with unbeatable performance and value. Only 0.01$ for 1000 comments

Pricing

from $0.01 / 1,000 results

Rating

0.0

(0)

Developer

Beautiful Scrape

Actor stats

Bookmarked

Total users

Monthly active users

13 days ago

Last modified

Categories

Social media

Automation

Developer tools

You can access the Youtube Community Comments 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

1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6    token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {
11    "postIds": [
12        "UgkxtNXtLfZja5oNtwscRPb6heCzJy9kzNO_"
13    ]
14};
15
16// Run the Actor and wait for it to finish
17const run = await client.actor("beautifulscrape/youtube-community-comments").call(input);
18
19// Fetch and print Actor results from the run's dataset (if any)
20console.log('Results from dataset');
21console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
22const { items } = await client.dataset(run.defaultDatasetId).listItems();
23items.forEach((item) => {
24    console.dir(item);
25});
26
27// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Youtube Community Comments API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use Youtube Community Comments API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.

Install the apify-client

$npm install apify-client

Other API clients include:

Youtube Community Comments API in Python

Youtube Community Comments API through CLI

Youtube Community Comments OpenAPI definition

Youtube Community Comments API

YouTube Comments

s-r/youtube-comments

Youtube Comments Scraper

scrapemesh/youtube-comments-scraper

ScrapeMesh

Youtube Comments Scraper

scraperforge/youtube-comments-scraper

ScraperForge

Youtube Comments Scraper

scrapebase/youtube-comments-scraper

ScrapeBase

Youtube Comments Scraper

scrapium/youtube-comments-scraper

Scrapium

Youtube Community Comments Scraper

donjuan_mime/youtube-community-comments-scraper

YouTube Community Comments Scraper is a tool designed to extract comments from YouTube Community posts efficiently. Built for the Apify platform and powered by Playwright, this scraper automates the process of collecting comments.

Donjuan

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 Scraper

scrapers-hub/youtube-comments-scraper

YouTube comments scraper to collect comments, replies, and user data from YouTube videos 💬📊 Ideal for sentiment analysis, audience insights, and research. Fast, accurate, and scalable.

Scrapers Hub

Youtube Comment Scraper - Export to CSV/JSON

epicscrapers/youtube-comments-scraper

[$0.5/1000] ✨YouTube comments scraper to scrape, extract, export YouTube comments to CSV/JSON. YouTube comment extractor, downloader, API alternative for scraping video comments, replies, likes, author data. Bulk YouTube comments download, dataset generator. Best YouTube comment scraper without API.

Epic Scrapers

5.0

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