💬 YouTube Comments Scraper — Replies, Likes, Pinned & Authors

Scrape YouTube comments and replies from single videos, Shorts, playlists, whole channels or search results. Every comment comes with its text, author, likes, reply count, date, pinned and creator-hearted flags, ready to export to CSV, Excel or JSON.

$0.25 per 1,000 comments — one of the cheapest in the Store. No YouTube API key, no quota, no login.

• ✅ Any input: video links (watch, youtu.be, shorts, live) or IDs, playlists, channels (@handle, /channel/UC…, plus /shorts or /streams tabs) and plain search terms
• ✅ Top or newest first — the same as YouTube's "Sort by" menu
• ✅ Replies (optional), linked to their parent comment
• ✅ Rich data: likes, reply count, author channel ID and URL, verified badge, channel owner flag, pinned, hearted by creator, edited, approximate date
• ✅ Total comment count of each video
• ✅ All comments of a video (set the limit to 0) or just the top N
• ✅ Videos with comments turned off are listed with the reason and never charged
• ✅ Fast: thousands of comments per minute, several videos in parallel

Who uses it

• Brands & marketers — what people say about a product, a launch or a competitor's videos.
• Creators & agencies — find questions and video ideas in the comments, spot top fans, track reactions to each upload.
• Researchers & data scientists — datasets for sentiment analysis, topic modelling and NLP training.
• AI builders — feed real audience feedback to an LLM to summarise opinions or answer "what do viewers want?".
• Community managers — export comments to a spreadsheet to reply, moderate or report.

How to use it

1. Sources: paste one item per line, mixed as you like:

   https://www.youtube.com/watch?v=NiCgcUTL9_Q
   https://youtube.com/shorts/6U6Z6pb6ewI
   @veritasium
   https://www.youtube.com/playlist?list=PLFs4vir_WsTwEd-nJgVJCZPNL3HALHHpF
   iphone 17 review
   

2. Max comments per video (0 = all), Order (top or newest), Include replies and how many.
3. For channels, playlists and searches set Max videos per source (newest videos first for channels).
4. Run and download the table as CSV, Excel, JSON or HTML, or read it through the API.

Output example

{
  "videoId": "NiCgcUTL9_Q",
  "videoUrl": "https://www.youtube.com/watch?v=NiCgcUTL9_Q",
  "videoTitle": "The Absurd Engineering Behind the Internet",
  "videoCommentCount": 5385,
  "commentId": "UgyBzai4Mnxf_2fOSLd4AaABAg",
  "commentUrl": "https://www.youtube.com/watch?v=NiCgcUTL9_Q&lc=UgyBzai4Mnxf_2fOSLd4AaABAg",
  "text": "…",
  "author": "@veritasium",
  "authorChannelId": "UCHnyfMqiRRG1u-2MsSQLbXA",
  "authorChannelUrl": "https://www.youtube.com/channel/UCHnyfMqiRRG1u-2MsSQLbXA",
  "authorIsVerified": true,
  "authorIsChannelOwner": true,
  "likeCount": 246,
  "likeCountText": "246",
  "replyCount": 46,
  "publishedTimeText": "7 days ago",
  "publishedAtApprox": "2026-10-13",
  "isEdited": false,
  "isPinned": true,
  "isHeartedByCreator": false,
  "isReply": false,
  "parentCommentId": null
}

Replies have "isReply": true and the parentCommentId of the comment they answer, and come right after it.

Analyze the results with AI

Want to know what viewers feel? Send the comments to Bulk ChatGPT & Claude for Datasets and get sentiment (positive / negative / neutral / mixed), topics or your own questions answered for every comment, as new columns.

Run it as an integration: in this Actor's Integrations tab add Bulk ChatGPT & Claude and set its datasets to {{resource.defaultDatasetId}}, so every run is analyzed automatically. No API key needed.

Pricing

$0.00025 per comment or reply ($0.25 per 1,000).

You scrape	You pay
1,000 comments	$0.25
all 5,000 comments of a popular video	$1.25
100 comments from each of a channel's last 50 videos	$1.25
100,000 comments	$25

Videos with comments turned off, private or deleted videos and invalid inputs are free. Higher Apify plans get an automatic discount. Set a maximum cost per run and the Actor stops cleanly at that amount.

Use it from code

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("tidydata/youtube-comments-scraper").call(run_input={
    "sources": ["https://www.youtube.com/watch?v=NiCgcUTL9_Q"],
    "maxCommentsPerVideo": 500,
    "sortBy": "newest",
    "includeReplies": True,
})
for c in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(c.get("likeCount"), c.get("author"), (c.get("text") or "")[:80])

Works with Make, Zapier, n8n, Google Sheets, webhooks and schedules, and as a tool for AI agents through the Apify MCP server.

FAQ

Are like counts exact? YouTube shows big numbers rounded ("28K"), so likeCount is the rounded number (28000) and likeCountText the original text. Small numbers are exact.

Why is the date approximate? YouTube only shows relative dates ("5 years ago"). publishedAtApprox converts them to a date; precision follows the unit (days, months, years).

Can I get all comments of a video? Yes, set Max comments per video to 0. YouTube may hide some comments it considers spam, so the total can be a bit lower than the counter.

Does it work for Shorts and live streams? Yes — paste the Shorts or live link, or a channel's /shorts or /streams tab.

Do I need a YouTube API key? No. And there is no daily quota like the official API's.

Is it legal? The Actor only reads comments that YouTube shows publicly. Comments can contain personal data (usernames): process them for legitimate purposes such as research or brand monitoring and respect privacy laws (e.g. GDPR) and YouTube's terms.

Related Actors

• YouTube Transcript Scraper — what is said in the videos (text, SRT, chapters).
• Merge, Deduplicate & Transform Datasets — keep only new comments across scheduled runs (dedupe by commentId).

Something doesn't work? Open an issue in the Issues tab with the video link — we answer fast.