YouTube Comment Scraper

Extract comments from any YouTube video or playlist to power audience research, sentiment analysis, content strategy, and community management — starting at $2.50 per 1,000 comments.

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What can YouTube Comment Scraper do for you?

• Analyze audience sentiment — Extract comment text, likes, and timestamps to understand how viewers feel about any video.
• Monitor brand mentions — Track what people are saying across your own videos or competitors' content.
• Build content research datasets — Collect thousands of comments quickly for market research, trend spotting, or training data.
• Manage communities at scale — Export comments into CSV, JSON, or Excel for offline review and replying workflows.
• Support playlist-wide scanning — Provide a playlist URL and automatically expand every video in it for comment extraction.

What data can you extract?

Field	Description
💬 text	Full comment text content
👤 author	Display name of the commenter
🆔 commentId	Unique YouTube comment identifier
❤️ likeCount	Number of likes on the comment
⭐ isFavorited	Whether the video creator hearted the comment
🔄 isReply	Whether this is a reply to another comment
📅 publishedAt	ISO-8601 timestamp of when the comment was posted
🎬 videoTitle	Title of the source video
📺 videoUrl	Canonical YouTube URL of the source video
👁️ videoViewCount	View count of the source video at scrape time
💬 videoCommentCount	Total comment count reported on the video
📢 channelName	Name of the channel that published the video

Why use this scraper?

• 📊 Sentiment & market research — Gather real audience opinions from any topic or niche on YouTube.
• 🔍 Competitor monitoring — Track comment trends on competitor channels to inform your content strategy.
• 🤖 Automation-friendly — Integrate with your data pipeline via API or schedule recurring runs on Apify.
• 📋 Playlist support — Drop in a full playlist URL and scrape comments from every video in one run.

Pricing

• $2.50 / 1,000 comments (no discount tier)
• $2.00 / 1,000 (Bronze — 10k+ items/month)
• $1.80 / 1,000 (Silver — 50k+ items/month)
• $1.70 / 1,000 (Gold — 100k+ items/month)
• No hidden fees or limits on usage. Save more as your volume grows with Apify plan discounts.

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How to use YouTube Comment Scraper

1. Create a free Apify account at apify.com.
2. Open the YouTube Comment Scraper page.
3. Paste one or more YouTube video or playlist URLs into the input field.
4. Set your comment limit (e.g. 100 per video) and choose sort order (Newest or Top).
5. Click Start and wait for the run to complete.
6. Download your data as JSON, CSV, or Excel from the dataset tab.

Input

Field	Type	Required	Description
videoUrls	string[]	✅ Yes	YouTube video or playlist URLs to scrape comments from. Playlist URLs are expanded automatically.
maxItems	integer	❌ No (default: 100)	Maximum number of comments across all videos. Set to 0 for unlimited.
commentSort	string	❌ No (default: "new")	Sort order — "new" (newest first) or "top" (top comments).
maxConcurrency	integer	❌ No (default: 3)	How many videos to process in parallel (1–10).
proxyConfiguration	proxy	❌ No	Proxy settings. Defaults to Apify Residential proxies.

📝 Copy for Use:

{
    "videoUrls": [
        "https://www.youtube.com/watch?v=jNQXAC9IVRw"
    ],
    "maxItems": 1000,
    "commentSort": "new",
    "maxConcurrency": 3,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}

Why Choose This Scraper?

• Affordable: Pay only $2.50 per 1,000 comments scraped, with volume discounts at higher tiers.
• Comprehensive: Extract 17 data fields per comment including text, likes, replies, video metadata, and more.
• Easy to Use: No login required. Just paste a YouTube URL and start scraping in seconds.
• Reliable: Uses residential proxies by default and handles pagination, rate limits, and playlist expansion automatically.

Output

Here is a sample of the data you can extract — each comment includes the full text, author info, engagement metrics, and video metadata:

Field	Example
text	"We're so honored that the first ever YouTube video was filmed here!"
author	@SanDiegoZoo
likeCount	4,600,000
isFavorited	true
isReply	false
publishedAt	2020-07-09T00:00:00+00:00
videoTitle	Me at the zoo
videoUrl	https://www.youtube.com/watch?v=jNQXAC9IVRw

Download your data as JSON, CSV, or Excel from the dataset tab after each run.

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Running via Apify Console

You can run this actor from the Apify Console by providing the necessary input parameters.

Running via API

You can trigger this actor using the Apify API, passing the required input in the request body.

API Examples

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR-APIFY-TOKEN")

run_input = {
    "videoUrls": [
        "https://www.youtube.com/watch?v=jNQXAC9IVRw"
    ],
    "maxItems": 1000,
    "commentSort": "new",
    "maxConcurrency": 3,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}

run = client.actor("rigelbytes/youtube-comment-scraper").call(run_input=run_input)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR-APIFY-TOKEN' });

const runInput = {
    videoUrls: [
        'https://www.youtube.com/watch?v=jNQXAC9IVRw'
    ],
    maxItems: 1000,
    commentSort: 'new',
    maxConcurrency: 3,
    proxyConfiguration: {
        useApifyProxy: true,
        apifyProxyGroups: ['RESIDENTIAL']
    }
};

const run = await client.actor('rigelbytes/youtube-comment-scraper').call(runInput);

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

cURL

curl "https://api.apify.com/v2/acts/rigelbytes/youtube-comment-scraper/runs?token=YOUR-APIFY-TOKEN" \
  -X POST \
  -H "Content-Type: application/json" \
  -d '{
    "videoUrls": [
      "https://www.youtube.com/watch?v=jNQXAC9IVRw"
    ],
    "maxItems": 1000,
    "commentSort": "new",
    "maxConcurrency": 3,
    "proxyConfiguration": {
      "useApifyProxy": true,
      "apifyProxyGroups": ["RESIDENTIAL"]
    }
  }'

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Understanding Proxies:

When scraping data or browsing anonymously, proxies are essential. They act as intermediaries, masking your original IP address and allowing you to send requests from another location.

Why Use Proxies?

• Avoid IP Blocks: By routing requests through proxies, you prevent the target website from recognizing your IP as a scraper or spammer.
• Access Geo-restricted Content: Proxies let you access content or websites restricted by location.
• Enhance Anonymity: Hide your actual IP, ensuring privacy while scraping or browsing.

Types of Proxies

1. Residential Proxies
   • Real IP addresses provided by ISPs to home users.
   • They mimic regular users, making them harder to detect.
   • Best for: Long-term, undetectable scraping, and avoiding blocks.
2. Data Center Proxies
   • IP addresses from servers in data centers.
   • Faster and cheaper than residential proxies but easier to detect and block.
   • Best for: High-speed scraping, but with a higher risk of detection.
3. Mobile Proxies
   • IPs provided by mobile carriers (3G/4G/5G networks).
   • Very difficult to detect, as they appear as regular mobile users.
   • Best for: Mobile-related scraping or avoiding sophisticated blocks.

Rotating Proxies vs. Straight Proxies

• Rotating Proxies: Every request you send goes through a different proxy, making it harder for websites to detect patterns.
• Straight Proxies: All requests are sent through the same proxy, making it easier to track your IP.

About Rigel Bytes

Rigel Bytes specializes in web scraping, automation, and data analytics. We help businesses extract and leverage valuable data for informed decision-making.

Contact Us

Ready to unlock the power of data? Reach out to us at (contact@rigelbytes.com) or book an appointment with us to learn more about how we can help you achieve your data goals.

Detailed Data

[
  {
    "commentId": "UgzuC3zzpRZkjc5Qzsd4AaABAg",
    "text": "We're so honored that the first ever YouTube video was filmed here!",
    "author": "@SanDiegoZoo",
    "authorChannelId": "UCC5NfQ6Mf0dq_eEwv4P_hWA",
    "likeCount": 4600000,
    "isFavorited": true,
    "isReply": false,
    "parentCommentId": null,
    "publishedAt": "2020-07-09T00:00:00+00:00",
    "videoId": "jNQXAC9IVRw",
    "videoUrl": "https://www.youtube.com/watch?v=jNQXAC9IVRw",
    "videoTitle": "Me at the zoo",
    "channelName": "jawed",
    "channelId": "UC4QobU6STFB0P71PMvOGN5A",
    "videoPublishedAt": "2005-04-24",
    "videoViewCount": 398675009,
    "videoCommentCount": 10
  },
  {
    "commentId": "UgzuC3zzpRZkjc5Qzsd4AaABAg.958xaQsh63D95AEkVnh_di",
    "text": "How did I randomly go to this video and see this comment 11 hours after it was posted? That's amazing",
    "author": "@tacticals.1811",
    "authorChannelId": "UCS2FiwDUXi_VJwC7HGJl4sw",
    "likeCount": 49000,
    "isFavorited": false,
    "isReply": true,
    "parentCommentId": "UgzuC3zzpRZkjc5Qzsd4AaABAg",
    "publishedAt": "2020-07-09T00:00:00+00:00",
    "videoId": "jNQXAC9IVRw",
    "videoUrl": "https://www.youtube.com/watch?v=jNQXAC9IVRw",
    "videoTitle": "Me at the zoo",
    "channelName": "jawed",
    "channelId": "UC4QobU6STFB0P71PMvOGN5A",
    "videoPublishedAt": "2005-04-24",
    "videoViewCount": 398675009,
    "videoCommentCount": 10
  }
]